Software Engineer

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28 jobs found

3d ago

Senior AI Engineer

Flex Employee Services Irvine, CA

Irvine, CA

3d ago

$47 - $51/hr Full time Agentic Ai AI Ai Ml

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Job Description

Flex Employee Services seeks a Senior AI Engineer to architect, build, and operate a production-grade Generative AI and Data Platform on AWS, emphasizing LLM-powered capabilities, vector search, and graph-based knowledge systems, all within governed data pipelines. This onsite role in Irvine, CA offers the opportunity to shape scalable AI infrastructure across teams, with a compensation range of $47-$51 per hour and a requirement of five years of experience along with a Bachelor’s or Master’s degree.

Responsibilities

Operationalize LLM-enabled applications using retrieval augmented generation, embeddings, prompt orchestration, and evaluation pipelines.
Design and implement vector search solutions with Amazon OpenSearch.
Develop graph-based knowledge systems using Amazon Neptune.
Integrate Redis via ElastiCache and DynamoDB to support AI applications.
Build agentic workflows leveraging LangGraph, AutoGen, CrewAI, or equivalent frameworks.
Incorporate LangChain or LlamaIndex for retrieval orchestration, tool invocation, and context management.
Define standards for tool integration and context-sharing using MCP-style designs.
Evaluate LLM models and retrieval strategies based on latency, accuracy, cost, and context limits.
Design and scale data pipelines with Databricks and Apache Spark.
Develop data ingestion, transformation, document processing, embedding generation, and indexing pipelines.
Ensure data quality through validation, completeness, consistency, and monitoring.
Implement data governance, access controls, retention policies, auditability, and lineage tracking.
Develop secure and scalable backend services and APIs.
Define API standards, versioning, reliability, retry logic, circuit breakers, and idempotency practices.
Build reusable platform capabilities for multiple teams and applications.
Develop and manage CI/CD pipelines.
Deploy production systems using Docker and Kubernetes.
Implement blue/green deployments, canary releases, rollback strategies, and feature flags.
Monitor platform reliability, observability, security, data freshness, and cost optimization.
Define GenAI quality metrics covering grounding, retrieval relevance, response consistency, latency, and cost.
Implement prompt and version tracking, evaluation pipelines, and continuous improvement workflows.
Ensure AI security through access controls, authentication, data protection, responsible AI guardrails, privacy, and auditability.

Requirements

Generative AI / LLM capabilities including RAG, embeddings, and prompt engineering.
AWS Cloud expertise with OpenSearch, Neptune, DynamoDB, and ElastiCache/Redis.
Vector search and retrieval systems experience (OpenSearch or Vector DB).
Graph databases and knowledge graphs (Amazon Neptune).
LLM frameworks such as LangChain and LlamaIndex.
Agentic AI frameworks like LangGraph, AutoGen, or CrewAI.
Databricks and Apache Spark for data and embedding pipelines.
Backend/API development in Python with scalable APIs and microservices.
Proven experience delivering production-grade Generative AI solutions.
Strong Python programming skills and experience with distributed systems, API design, and scalable backend development.
Experience building end-to-end AI/ML platforms.
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.
Demonstrated track record of delivering production AI platforms and systems.
Solid background in end-to-end AI/ML lifecycle delivery.

Technologies

LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI
OpenSearch, Amazon Neptune, DynamoDB, ElastiCache (Redis)
Databricks, Apache Spark
Python
Docker, Kubernetes

Benefits

Dental insurance
Health insurance
Referral program
Vision insurance

Preferred Skills

Model evaluation frameworks and LLM observability tools
AI governance and compliance frameworks
Kubernetes and advanced MLOps practices
Model Context Protocol (MCP) patterns
Agent-based architectures

Domain Experience

AI/ML Platform Engineering
Generative AI / LLM Applications
Data Platform / Big Data Engineering

Soft Skills

Strong problem-solving and analytical thinking
Ability to communicate complex AI concepts clearly
Collaborative and cross-functional mindset
Ownership-driven and proactive execution

Application Questions

Are you comfortable working on W2? If not, please hold off on completing the application for now. We’ll be posting another opportunity in the future for 1099/C2C candidates.
Are you willing to work on a contract basis? If not, please hold off on completing the application for now. We’ll be posting another opportunity in the future for full time roles.
Do you have a minimum of 5 years of experience with Graph Databases (Amazon Neptune, Knowledge Graphs)?
Do you have a minimum of 5 years of experience with Agentic AI Frameworks (LangGraph / AutoGen / CrewAI)?
Do you have a minimum of 5 years of experience with Databricks & Apache Spark (data pipelines, embedding pipelines)?
Do you have a minimum of 5 years of experience with Backend/API Development (Python, scalable APIs, microservices)?
Do you have a minimum 5 years of experience with Generative AI / LLM (RAG, embeddings, prompt engineering)?
Do you have a minimum of 5 years of experience with AWS Cloud (OpenSearch, Neptune, DynamoDB, ElastiCache/Redis)?
Do you have a minimum of 5 years of experience with Vector Search & Retrieval Systems (OpenSearch / Vector DB)?

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4d ago

Applied AI Engineer II

Deloitte New York, NY

New York, NY

4d ago

$103k - $189k/yr Full time Backend Developer Artificial Intelligence Data Processing

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Job Description

Deloitte seeks an Applied AI Engineer II in New York, NY onsite, combining hands-on full-stack software engineering with applied AI to embed GenAI and agentic capabilities into products.

Responsibilities

Outcome-Driven Accountability: embrace a culture of accountability for customer and business outcomes and the cost of achieving them; design engineering solutions that solve complex problems with measurable value, delivering lean, high-quality designs and implementations, and owning inference, token, and cloud costs.
Technical Leadership and Advocacy: act as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals; contribute across requirements analysis, component design, development, testing, integrations, and support.
Engineering Craftsmanship: maintain accountability for code-design integrity, architecture fidelity, data handling, quality, and ongoing operations; be hands-on, self-driven, and continually learn; create technical specifications and produce high-quality, scalable code that meets quality KPIs; collaborate effectively with diverse teams.
Customer-Centric Engineering: develop lean engineering solutions through rapid, low-cost experimentation to address customer needs; engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
Incremental and Iterative Delivery: favor action and evidence over extensive planning; navigate complexity with a forward-leaning approach to deliver lean, maintainable solutions.
Cross-Functional Collaboration and Integration: work with product management, experience, and delivery teams; integrate diverse perspectives to balance feasibility, viability, usability, and value; foster a collaborative environment that enhances team synergy and innovation.
Advanced Technical Proficiency: demonstrate expertise in modern software engineering practices, including AI and agentic SDLC to enable daily product deployments with full automation from discovery to production to operations, with quality checks through the SDLC; model best practices to optimize solutioning and delivery; emphasize continuous improvement across the lifecycle.
Domain Expertise: quickly acquire domain knowledge relevant to the business or product; translate business/user needs, architectures, and UX/UI designs into technical specifications and code; be a flexible, quality-focused team member supportive of teammates and focused on tech debt payoff.
Effective Communication and Influence: articulate complex technical concepts clearly; inspire and influence teammates and product teams with evidence-based trade-offs; craft cohesive narratives that align technical solutions with business objectives.
Engagement and Collaborative Co-Creation: engage with product engineering teams at all levels, including customers as needed; build constructive relationships fostering co-creation and momentum toward product goals; align diverse perspectives to create feasible solutions.

Requirements

Ability to work independently and as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
Bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline
3+ years of experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, plus unit testing frameworks
2+ years of experience building AI/ML and agentic applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration
2+ years of experience with cloud-native engineering using FaaS, PaaS, or micro-services on Azure, AWS, or GCP, including AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus infrastructure-as-code and FinOps-aware cost engineering
Prior software engineering experience with Business Context Diagrams, sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentation, and AI-augmented spec-driven development
Prior experience with XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (eg LangFuse, LangSmith) or equivalent multi-agent orchestration tools to deliver high-quality products rapidly
Ability to travel approximately 10 percent, depending on client engagements
Limited immigration sponsorship may be available

Technologies

Angular
React
NodeJS
Python
C#
.NET
Java
SQL
NoSQL
PyTorch
TensorFlow
LangChain
LangGraph
OpenAI
Anthropic
LangFuse
LangSmith
AWS
Azure
GCP
Vertex AI
Azure OpenAI
AWS Bedrock
MLflow
GitHub
SonarQube
ADO (Azure DevOps)

The Team

US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value and outcomes, supported by a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes, powering Deloitte's success.

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5d ago

Applied AI Engineer II - Encore Program

Deloitte Philadelphia, PA

Philadelphia, PA

5d ago

Full time Artificial Intelligence Azure Openai Data Processing

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Job Description

The Deloitte Encore Program seeks an Applied AI Engineer II onsite in Philadelphia, PA. This role focuses on delivering high-visibility full-stack products that leverage GenAI and agentic capabilities to achieve customer-centered outcomes. A bachelor’s degree and at least two years of relevant experience are required.

Responsibilities

Own accountability for customer and business outcomes and for the cost of delivery. Design lean, high-quality solutions to complex problems and actively manage inference, token usage, and cloud expenses.
Act as the technical champion for products, preserving code integrity and alignment with business and customer goals. Contribute across requirements, design, development, testing, integrations, and support.
Uphold engineering craftsmanship by ensuring design integrity, faithful implementation to architecture and stack, data quality, and ongoing maintainability. Be hands-on, proactive, and committed to learning new approaches and frameworks; produce technical specifications and high-quality, scalable code that meets quality KPIs. Collaborate effectively with diverse teams.
Develop lean, customer-focused solutions through rapid, economical experimentation. Engage with customers and product teams throughout delivery to ensure the right solution is delivered at the right time.
Adopt an incremental delivery mindset, prioritizing action and evidence over extensive planning and navigating complexity with a forward-leaning approach to produce lean, maintainable solutions.
Collaborate with cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to balance feasibility, viability, usability, and value, fostering a culture of collaboration and innovation.
Demonstrate advanced technical proficiency in modern software engineering, including AI and agentic lifecycle practices to enable frequent deployments with end-to-end automation and comprehensive quality checks. Model and optimize solutioning and product delivery across the full lifecycle with a focus on continuous improvement.
Acquire domain knowledge rapidly and translate business needs, architectures, and UX/UI designs into technical specifications and code. Be a reliable, adaptable team member focused on quality and debt payoff.
Communicate complex technical concepts clearly and influence teammates and product teams with evidence-based trade-offs. Craft narratives that align technical solutions with business objectives.
Engage with product engineering teams at multiple levels, including customers when needed. Build constructive relationships that support co-creation and shared momentum toward product goals, aligning diverse perspectives to reach feasible solutions.

Requirements

Bachelor's degree in computer science, software engineering, data science, machine learning, or a related discipline; practical experience is the primary differentiator.
3+ years of experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, and unit testing frameworks.
2+ years building AI/ML and agentic applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration.
2+ years of cloud-native engineering using FaaS, PaaS, or micro-services on Azure, AWS, or GCP, including AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus infrastructure-as-code and FinOps accountability.
Experience with software engineering fundamentals including Business Context Diagrams, sequence/activity/state/entity relationship and data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentation, plus AI-augmented spec-driven development.
Experience with methodologies and tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (e.g., LangFuse, LangSmith, or similar multi-agent orchestration tools) to deliver high-quality products rapidly.
Ability to travel approximately 10 percent, depending on client engagements.
Limited immigration sponsorship may be available.

Technologies

Angular
React
NodeJS
Python
C#
.NET
Java
SQL
NoSQL
PyTorch
TensorFlow
LangChain
LangGraph
LangFuse
LangSmith
OpenAI
Anthropic
AWS Bedrock
Azure OpenAI
Vertex AI
Azure
AWS
GCP
MLflow
ADO
GitHub
SonarQube
Vector databases

The Team

US Deloitte Technology Product Engineering modernizes software and product delivery through a scalable, cost-conscious model that emphasizes value and outcomes. As Deloitte's primary internal development arm, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations, driving measurable results and contributing to Deloitte's overall success.

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7d ago

Senior Java & AI Engineer

Resolution Technologies Plano, TX

Plano, TX

7d ago

Full time Backend Developer Senior Agentic Ai

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Job Description

Resolution Technologies invites experienced engineers to join the Plano, TX onsite team as a Senior Java & AI Engineer. This role centers on owning the AI development environment within an agile WFM software team, designing, building, and integrating AI agents, tools, and workflows to increase velocity, improve quality, and ensure consistency across projects. It is an opportunity to influence technical direction while collaborating with stakeholders to deliver impactful solutions.

Responsibilities

Design, implement, and document robust technical solutions that meet business needs and align with corporate architectural standards.
Own and continuously enhance the AI development environment, including coding agents, tools, workflows, and infrastructure to maximize engineering velocity, quality, and consistency.
Design, construct, and optimize coding agents, prompts, and associated workflows.
Define and maintain agent instructions, skills, plugins, and tool integrations.
Assemble tools into a cohesive agent-driven development pipeline.
Enable AI assisted Spec-Driven Development from idea through specification, implementation, and validation.
Create solid unit, integration, and automation tests in line with organizational standards.
Troubleshoot and maintain existing applications; identify opportunities for improvement and implement them; collaborate with external stakeholders as needed.
Develop technical designs and models for assigned components.
Contribute to and steer technology and architectural decisions.
Participate in design and code reviews for team members.
Elevate team performance by recognizing strengths and opportunities and applying coaching and development techniques.
Collaborate with the Scrum Team and stakeholders to influence decisions and support project or product initiatives.
Promote and advance Agile practices within the organization.

Requirements

At least 8 years of Java web application development experience.
Strong interest and hands-on experience with AI coding tools and LLM-based systems.
Experience with agents, prompts, MCP/tools, or similar ecosystems.
Comfortable with low-level details such as tokens, context windows, latency, and coordinating tools.
Expertise in server-side Java development using Hibernate, Spring, RESTful Web Services, and server-side testing with JUnit and Mockito or EasyMock.
Experience with web application development using Angular, HTML5, CSS, jQuery, JavaScript, Spring MVC; familiarity with unit and end-to-end testing using Cucumber, Selenium, or Playwright is highly desirable.
Experience with AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude, or similar, and the ability to integrate generative AI into the software development lifecycle for code generation, debugging, and optimization.
Familiarity with Vibe Coding methodologies including rapid prototyping, iterative development, and AI-assisted creative problem solving to accelerate velocity.
Proven track record of driving technical innovation, evaluating and adopting new technologies, improving processes, and mentoring peers on advanced practices.
AWS experience is a plus.
Experience with multi-tier web applications.
Hands-on experience with Continuous Integration and Test-Driven Development.
Experience with JBoss or Tomcat.
Experience with Maven and Jenkins is a plus.
Strong knowledge of Scrum techniques and artifacts including definitions of done, user stories, automated testing, and backlog refinement.
An undergraduate degree in Computer Science, Engineering, or a related subject.

Technologies

Java
Java 8, Java 21
Hibernate
Spring
Web Services (REST)
JUnit, Mockito, EasyMock
Angular
HTML5, CSS, jQuery, JavaScript
Spring MVC
Cucumber, Selenium, Playwright
AWS
JBoss, Tomcat
Maven, Jenkins
GitHub Copilot, ChatGPT, Claude
MCP/tools

Senior Java & AI Engineer Desired Personal Attributes

Excellent communication and interpersonal skills.
Self-motivated and flexible.
Demonstrates resilience and adaptability when navigating organizational constraints, legacy systems, or established processes that cannot be immediately changed.
Ability to find creative solutions and deliver value within existing limits while building consensus for future improvements.
Strong analytical and problem-solving abilities.
Maintains a positive, constructive approach when facing bureaucratic processes, technical debt, or resistance to change.
Leads, collaborates, and coordinates with others to achieve meaningful results.
Detail-oriented with excellent organizational skills.

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9d ago

Senior Lead AI Engineer (FM Hosting)

Capital One New York, NY

New York, NY

9d ago

$251k - $286k/yr Full time Senior AI Artificial Intelligence

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Job Description

Capital One's Intelligent Foundations and Experiences (IFX) team is seeking a Senior Lead AI Engineer (FM Hosting) to architect and operationalize AI software components that power scalable, real-time customer experiences. Based in New York, NY (onsite), the role offers a salary range of USD 250,800 to 286,200 per year and involves collaboration across engineering, research, and product management to shape AI systems that transform how associates work and how customers interact with Capital One.

Responsibilities

Collaborate with a cross-disciplinary team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that transform how Capital One associates work and how customers interact with the bank.
Design, build, test, deploy, and sustain AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Utilize a wide range of open-source and SaaS AI technologies such as AWS Ultraclusters, HuggingFace, VectorDBs, Nemo Guardrails, PyTorch, and more.
Develop and apply cutting-edge LLM optimization techniques to boost production AI systems' performance, focusing on scalability, cost, latency, and throughput.
Contribute to Capital One's foundational AI systems' technical vision and long-term roadmap.

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields with at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in the same fields with at least 4 years of experience developing AI and ML algorithms or technologies.
At least 6 years of experience programming with Python, Go, Scala, or Java.

Technologies

AWS Ultraclusters
HuggingFace
VectorDBs
Nemo Guardrails
PyTorch
Python
C++
C#
Java
Go

Benefits

Health benefits
Financial benefits
Other benefits that support your total well-being
Performance-based incentive compensation (cash bonuses and/or long term incentives)

Overview

Capital One is focused on building responsible and reliable AI systems that drive better banking outcomes. The company has long been a leader in applying machine learning to deliver real-time, personalized customer experiences, supported by strong technology infrastructure and top talent. This foundation positions Capital One at the forefront of enterprises leveraging AI to create value for customers.

Team Description

The Intelligent Foundations and Experiences (IFX) team sits at the core of Capital One's AI strategy. We collaborate with partners across the organization to advance AI research and engineering, building and deploying proprietary solutions central to the business and delivering value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance products with AI's transformative potential.

The Ideal Candidate

You enjoy building robust systems, take pride in code quality, and share a commitment to doing the right thing. You are motivated by solving problems that can change banking for good.
You stay current with the latest AI research and can translate publications into production-ready approaches.
You adapt quickly and bring clarity to large, undefined problems, asking questions and digging deep to uncover root causes, and you can present findings concisely. You have the courage to propose new ideas, even if unproven.
You are deeply technical with a solid foundation in engineering and mathematics, and you understand hardware, software, and AI to identify optimization opportunities others might miss.
You are a resilient trailblazer who can chart new paths to meet business goals when the route is uncertain.

Preferred Qualifications

7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud).
Experience designing, developing, integrating, delivering, and supporting complex AI systems.
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders.
Experience developing AI and ML algorithms or technologies (e.g., LLM inference, similarity search and VectorDBs, guardrails, memory) using Python, C++, C#, Java, or Golang.
Experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
Passion for staying abreast of the latest AI research and AI systems, applying novel techniques in production as appropriate.
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.

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9d ago

Site AI Engineer

Suffolk Construction Company, Inc. Dallas, TX

Dallas, TX

9d ago

Full time Backend Developer Ai Workflows Artificial Intelligence

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Job Description

Suffolk Construction Company, Inc. is a national builder that blends construction management with data, AI, and technology through its Seamless Platform. This on‑site Site AI Engineer role in Temple, TX turns AI ideas into deployed solutions on active project sites. You will partner with project AI Champions to redesign workflows and deploy AI agents that enhance reporting, RFIs, lookahead planning, progress updates, and materials tracking.

Location: Temple, TX (onsite)

Benefits

Competitive salaries
Auto allowances and gas cards for certain roles
Market leading medical coverage plus emotional and mental health benefits
Dental insurance
Vision insurance
Virtual care options for physical therapy and primary care
Generous paid time off
401k plan with employer match
Access to expert financial resources
Company paid and voluntary life insurance
Tax deferred savings accounts
10 backup daycare days each year
Short-term and long-term disability
Commuter benefits

Responsibilities

Opportunity discovery and workflow redesign — Lead discovery sessions, map value streams, assess process and data maturity, and log low‑effort/high‑impact AI use cases.
Process and data maturity assessment — Evaluate jobsite workflows and data, surface gaps that block AI adoption, and develop phased improvement plans with Operations Excellence to establish the baseline before deploying agents.
Assess market solutions — Evaluate off‑the‑shelf and platform tools; launch pilots, measure impact, and scale wins.
Rapid AI agent builds — Convert user stories into MVP agents in AWS Bedrock, Sagemaker, ChatGPT Enterprise, and other frameworks within days, connecting front end to Teams/SharePoint and back end to Databricks Lakehouse, AWS services, or other sources.
Enterprise‑grade engineering & LLMOps — Build Agentic RAG pipelines backed by OpenSearch and other data stores; automate infrastructure with GitHub Actions; monitor latency, cost, adoption, and drift.
Data integrations — Partner with Data Engineering to design and maintain ETL pipelines, API integrations, and event‑driven connectors feeding RAG and agents.
Cross‑cloud orchestration — Blend AWS Bedrock, OpenAI services, and Azure OpenAI behind secure custom connectors; package agents for seamless rollout.
Change enablement — Train crews, gather feedback, iterate, and track adoption and ROI metrics; apply influence model principles to embed agents into daily routines and SOPs, and track behavior change KPIs.
Stakeholder communication — Brief project leadership and clients on agent impact in business terms; contribute use cases and playbooks for Suffolk’s Construction Site of the Future.
Escalation & hand‑off — Draft clear user stories, data specs, and acceptance criteria for complex solutions needing central AI Solution Engineers or Data Engineering / Data Science teams to enable scaling; collaborate to turn prototypes into enterprise‑ready applications.
Compliance — Ensure on‑site AI tools meet Suffolk’s information security, data governance, and client confidentiality standards.

Requirements

4–6+ years in AI engineering, full‑stack data applications, or data science, including at least 2 years building production LLM, RAG, or agentic solutions.
Bachelor’s degree in computer science, engineering, physics, or a related field; Master’s preferred.
Hands‑on experience in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a significant plus.
Proven process excellence background (Lean/Six Sigma Green Belt a plus) with experience diagnosing process and data gaps and supporting change management plans with Operations Excellence.
Strong facilitation and communication skills.
Hands‑on experience with Claude Code, Devin AI, MS Copilot, and other coding assistants.
Programming and data stack: Python, SQL, Fast API, Databricks Lakehouse, vector stores.
DevOps and IaC: GitHub Actions, Terraform or CloudFormation automation, or similar CI/CD tooling; solid Git/GitHub discipline.
Integration and ETL skills: understanding of ETL/ELT design, Airflow or Databricks Workflows, REST/GraphQL API development; proven collaboration with Data Engineering on source‑to‑lake and lake‑to‑agent pipelines.
Willing and able to travel and work on active jobsites.

Technologies

Python
SQL
Fast API
Databricks Lakehouse
Vector stores
GitHub Actions
Terraform
CloudFormation
Airflow
REST
GraphQL
AWS Bedrock
Sagemaker
ChatGPT Enterprise
OpenAI
Azure OpenAI
OpenSearch
Teams
SharePoint
Databricks Workflows
Claude Code
Devin AI
MS Copilot

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10d ago

Senior AI Engineer - Guidewire

CNA Insurance Chicago, IL

Chicago, IL

10d ago

$72k - $141k/yr Full time Ai Governance Artificial Intelligence Engineer

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Job Description

CNA Insurance invites a senior AI engineer to join our Chicago area team in a hybrid role. This position centers on an AI first engineering transformation, steering the architecture and delivery of scalable AI enabled solutions across enterprise platforms, including Guidewire offerings. You will provide technical leadership and mentorship across teams, shaping engineering culture toward AI driven excellence. The role offers a competitive salary range of USD 72,000 to 141,000 per year and a path to influence engineering standards, governance, and productivity at scale.

Responsibilities

Define and advance the AI first engineering vision across development teams, promoting AI assisted development practices
Lead and mentor engineers in using AI tools responsibly and effectively (eg, GitHub Copilot, Claude, Developer Assistants)
Establish governance models and best practices for AI assisted development to ensure quality, security, compliance, and maintainability of generated code
Apply engineering judgment to review, validate, and standardize AI generated outputs
Architect and deliver scalable, cloud native, API driven solutions across enterprise platforms
Guide teams in building production grade applications using modern principles such as microservices, event driven architecture, and CI/CD
Accelerate development through AI assisted coding, testing, debugging, automation frameworks, reusable patterns, and improved developer tooling
Collaborate with business, product, architecture, and platform teams to align AI driven solutions with business outcomes
Drive integration strategies across enterprise systems using API first and event driven approaches
Provide technical oversight for complex programs and cross functional initiatives
Lead adoption of modern engineering practices including automation, observability, and test driven development
Evaluate and recommend emerging technologies in AI, automation, and developer productivity
Support production readiness, troubleshooting, and continuous improvement of application performance and reliability
(Preferred) Contribute to or guide implementations involving Guidewire InsuranceSuite and Digital Solutions
Mentor engineers and foster a culture of continuous learning, innovation, and AI driven excellence
May perform additional duties as assigned

Requirements

Proven experience driving AI assisted development practices at scale
Hands on experience with Claude, GitHub Copilot, Cursor, or similar tools
Strong ability to evaluate and govern AI generated code
Demonstrated ability to define standards, frameworks, and best practices
Experience mentoring teams and enabling AI adoption across engineering organizations
Strong understanding of secure coding and compliance in AI enabled environments
Strong expertise in cloud native architecture, microservices, and distributed systems
Experience with API first, integration, and event driven architectures
Proven ability to build scalable, production grade applications
Familiarity with DevOps, CI/CD, and automation frameworks
Full stack development expertise (Java/J2EE or similar stack, microservices, UI frameworks)
Strong knowledge of API design, integration platforms, and web services
Excellent problem solving and decision making skills
Experience with Guidewire InsuranceSuite and Digital
Exposure to Guidewire Cloud Platform and integration patterns
Understanding of the P&C insurance domain
Experience with Guidewire Jutro Digital Platform (JDP) is a plus
Strong leadership, communication, and stakeholder management skills
Ability to influence without authority and drive change across teams
Strong collaboration across distributed and cross functional teams

Technologies

GitHub Copilot, Claude, Cursor
Guidewire InsuranceSuite, Guidewire Digital Solutions
Guidewire Cloud Platform, Guidewire Jutro Digital Platform (JDP)
Java/J2EE, UI frameworks

Reporting relationship

Typically Director or above

AI Engineering & Leadership

Proven experience driving AI assisted development practices at scale
Hands on experience with Claude, GitHub Copilot, Cursor, or similar
Strong ability to evaluate and govern AI generated code
Demonstrated ability to define standards, frameworks, and best practices
Experience mentoring teams and enabling AI adoption across engineering organizations
Strong understanding of secure coding and compliance in AI enabled environments

Architecture & Modern Engineering

Strong expertise in cloud native architecture, microservices, and distributed systems
Experience with API first, integration, and event driven architectures
Proven ability to build scalable, production grade applications
Familiarity with DevOps, CI/CD, and automation frameworks

Technical Skills

Full stack development expertise (Java/J2EE or similar stack, microservices, UI frameworks)
Strong knowledge of API design, integration platforms, and web services
Excellent problem solving and decision making skills

Guidewire & Domain (Preferred / Nice to Have)

Experience with Guidewire InsuranceSuite and Digital
Exposure to Guidewire Cloud Platform and integration patterns
Understanding of the P and C insurance domain
Experience with Guidewire Jutro Digital Platform (JDP) is a plus

Soft Skills

Strong leadership, communication, and stakeholder management skills
Ability to influence without authority and drive change across teams
Strong collaboration across distributed and cross functional teams

Role differentiators

Focus on AI first engineering transformation rather than solely development
Combines hands on engineering with leadership and vision setting
Opens opportunities to influence engineering culture, standards, and delivery models
Flexible application of AI engineering practices across multiple platforms, not limited to Guidewire

Education & Experience

Bachelor's degree in computer science or related discipline or equivalent experience
Typically 8+ years of software engineering experience including AI assisted development
Experience in technical leadership, architecture, or team enablement roles
Experience in enterprise platforms or insurance domain is a plus
Prior exposure to Guidewire implementations preferred but not required