Generative Ai Applications

Generative Ai Applications Data Jobs

34 jobs found

Today

Data Scientist - Applied AI Scientist

Zions Bancorporation Midvale, UT

Midvale, UT

Today

Full time Backend Developer Python Ai Ml

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Job Description

Zions Bancorporation is hiring an Applied AI-focused Data Scientist to connect statistical research with production-grade software engineering for ML/AI systems.

Responsibilities

Design, prototype, and validate ML/AI solutions by translating business problems into mathematical formulations and scalable, production-ready code.
Conduct deep exploratory data analysis, statistical testing, and data transformations on structured and unstructured datasets to uncover predictive signals and validate hypotheses.
Architect and implement modular, extensible, and testable Python codebases for AI experiments.
Apply clean-code practices beyond notebooks using SOLID and DRY to support hand-off to ETO Engineering teams.
Develop and experiment with applied generative AI and multi-agent architectures using orchestration frameworks such as LangChain and LangGraph, with focus on state management, robust RAG pipelines, and efficient system design.
Optimize model inference, data processing pipelines, and memory footprints to improve latency and scalability, including understanding of data structures and algorithmic complexity.
Create automated evaluation frameworks to benchmark model performance, mitigate hallucinations, track drift, and support algorithmic fairness using A/B testing and statistical rigor.
Serve as the technical translator between research ideation and engineering execution.
Communicate complex statistical findings and system architectures to both technical and non-technical stakeholders.

Requirements

Strong foundation in statistics (Bayesian/Frequentist), linear algebra, hypothesis testing, and ML algorithm internals (optimizers, loss functions, attention mechanisms).
Advanced Python experience with emphasis on Object-Oriented Programming (OOP) and modular design.
Ability to write unit tests (e.g., Pytest) for data pipelines and models.
Deep experience with ML libraries including PyTorch, TensorFlow, Scikit-learn, and Pandas, including implementing custom logic (not limited to out-of-the-box models).
Hands-on experience with NLP, Large Language Models (LLMs), and Vector Databases, including evaluation and optimization at scale.
Proficiency with Git/version control; experience with Docker, FastAPI and/or Flask API development; working knowledge of how models fit into a CI/CD lifecycle (MLOps).
Exceptional problem-solving skills with comfort in ambiguity; ability to own the data science lifecycle from ideation to engineered prototype.
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field plus 4+ years of hands-on experience in applied machine learning or data science.
Master’s degree or PhD is a plus.
Education and experience combination may meet qualifications.

Technologies

Python, SOLID, DRY
LangChain, LangGraph
PyTorch, TensorFlow, Scikit-learn, Pandas
NLP, Large Language Models (LLMs), Vector Databases
Git, Docker, FastAPI, Flask
CI/CD, MLOps, Pytest
Jupyter notebooks, A/B testing

Benefits

Medical, Dental and Vision Insurance - START DAY ONE!
Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
Mental health benefits including coaching and therapy sessions
Tuition Reimbursement for qualifying employees
Employee Ambassador preferred banking products

Location and Work Model

Midvale, UT (hybrid) with a minimum of three days per week in the office at the new Zions Technology Center.
Zions Technology Center: 400,000-square-foot technology campus in Midvale, Utah (former Sharon Steel Mill).
Electric vehicle charging stations; close proximity to Historic Gardner Village UTA TRAX station.
At least 75% of the building is powered by on-site renewable solar energy.
Access to outdoor recreation, parks, trails, shareable bikes and locker rooms.
Large modern cafe with a healthy and diverse menu.
Healthy indoor environment with ample natural light and fresh air.
LEED-certified sustainable building, including low VOC-emitting construction materials.

Visa Sponsorship

Not eligible for employment visa sponsorship (e.g., H-1B visa).
Includes situations such as temporary work authorization while enrolled in school or after graduation (e.g., CPT, OPT) where H-1B sponsorship would be needed within a few years to maintain employment eligibility.

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Today

Forward-deployed AI Engineer

SCAN Group Long Beach, CA

Long Beach, CA

Today

$125k - $216k/yr Full time Backend Developer Agentic Ai Orchestration Ai Agent Platform

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Job Description

Embed with SCAN’s teams as a forward-deployed AI Engineer to uncover measurable AI opportunities and deliver production-grade, AI-enabled systems.

Responsibilities

Embed with SCAN’s teams to understand workflows, operational challenges, and strategic priorities
Lead discovery activities, including stakeholder interviews, workflow observation, process analysis, and opportunity assessment
Translate ambiguous business problems into technical requirements and measurable success criteria
Build trusted relationships with SCAN leaders and act as a strategic technology partner
Design, develop, test, deploy, and support AI-enabled applications using SCAN’s large language models (LLMs), AI agents, and retrieval-augmented generation (RAG)
Apply workflow automation, APIs, and modern software engineering practices to deliver enterprise solutions
Rapidly prototype solutions, validate concepts with users, and iterate based on business feedback
Build production-ready software using SCAN’s enterprise AI platform, including reverse-integration of new capabilities to the core platform
Evaluate emerging AI technologies and recommend approaches aligned to business needs
Translate complex business problems into scalable and maintainable technical architectures
Collaborate with architects, product managers, platform engineers, data engineers, and security teams to deliver enterprise AI solutions
Develop reusable components, patterns, and technical assets to accelerate future AI development
Contribute to engineering standards, best practices, and continuous improvement across the AI organization
Define measurable success metrics for AI solutions and monitor business impact after deployment
Continuously optimize solutions using operational data, user feedback, and changing business needs
Identify additional automation and AI opportunities through ongoing engagement with business partners
Support organizational adoption of AI through education, coaching, and change management
Apply responsible AI practices, including transparency, traceability, explainability, fairness, privacy, and human oversight
Partner with security, compliance, legal, and governance teams to support safe and appropriate AI use
Document solution design, risks, controls, assumptions, and operational considerations for AI systems
Ensure AI solutions comply with organizational standards, regulatory requirements, and security policies

Requirements

Bachelor’s Degree or equivalent experience in Computer science, Engineering, or a related field
Deep applied understanding of LLM-based architectures, RAG, vector embeddings, prompt engineering, and agent orchestration
Experience designing, building, and deploying AI-enabled applications, services, workflows, and integrations
Proficiency with Azure AI Services, Azure AI Foundry, and enterprise content management platforms (SharePoint, Microsoft 365, Teams, Confluence)
Strong Python (or equivalent), REST APIs, ML/LLMOps tooling, and frameworks (FastAPI, LangChain, Microsoft Agent Framework, etc.)
Ability to connect business requirements to technical solutions, build reusable components, and improve adoption and operational impact
Collaborative communicator comfortable engaging non-technical stakeholders and cross-functional teams
Curiosity, initiative, and continuous learning mindset; adapts quickly to new frameworks and technologies
Leadership skills, including developing others
Business insight, problem-solving ability, and a strategic mindset to create strategies that sustain competitive advantage
Business partnering skills, self-direction, and influence; able to define roadmaps, persuade skeptics, and drive adoption of new processes or technologies

Technologies

Python
REST APIs
FastAPI
LangChain
Microsoft Agent Framework
Azure AI Services
Azure AI Foundry
SharePoint
Microsoft 365
Teams
Confluence
LLMs
AI agents
Retrieval-augmented generation (RAG)
Vector embeddings
Prompt engineering
Agent orchestration
ML/LLMOps tooling
Enterprise AI platform

Experience

6+ years of experience (minimum requirement) in AI engineering, software engineering, data engineering, machine learning, automation, or enterprise technology delivery

Benefits

Base salary range: $125,400 to $215,975 annually
Annual employee bonus program
Robust wellness program
Generous paid-time-off (PTO)
11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
Excellent 401(k) retirement saving plan with employer match
Robust employee recognition program
Tuition reimbursement
Opportunity to contribute to a team supporting members and community

Preferred Certifications or Licenses

Microsoft Certified: Azure AI Engineer Associate
Relevant certifications in cloud platforms, AI engineering, machine learning, data engineering, or software development (beneficial)
Additional certifications in Responsible AI, Data Governance, Cybersecurity, or Healthcare Informatics (advantageous)

Preferred Experience

Extensive 6+ years in AI engineering, software engineering, data engineering, machine learning, automation, or enterprise technology delivery, ideally within regulated industries such as healthcare
Hands-on experience (3+ years) building AI-enabled applications, integrating large language models, implementing RAG patterns, or delivering machine learning solutions
Proven track record delivering enterprise-scale AI or digital transformation initiatives with cross-functional collaboration (business, healthcare, data, security, compliance, and technology)
Experience building production-grade applications, APIs, data pipelines, automation workflows, or cloud-based AI services
Familiarity with Azure AI Foundry, Azure OpenAI, Azure AI Services, Databricks, Snowflake, or similar enterprise AI and data platforms (highly valued)
Strong stakeholder management and communication skills, translating business needs into scalable technical solutions and driving adoption across diverse teams
Healthcare domain expertise, including regulatory and member-focused nuances (plus)

Location: Long Beach, CA (onsite)

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Today

GTM AI Engineer

Motive Remote 🌍 Remote

Remote

Today

$112k - $140k/yr Full time Backend Developer Marketing Ai Agent Platform

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Job Description

Motive is hiring a GTM AI Engineer on the AI Operations team to build and own internal AI tools, agents, automations, and full stack applications used by the GTM organization. This role covers the journey from early prototypes to production scaling, beta testing with end users, ongoing maintenance, and documentation and training.

What you’ll get to build

You will develop internal AI solutions that help the GTM organization move faster and work more effectively. The work includes complex agent and workflow development, integrating key data sources into applications, and ensuring everything is usable for a broader business audience.

Responsibilities

Own the full stack development lifecycle: prototyping and proof of concepts, scaling prototypes for production use, beta testing with end users, and maintaining internal AI tools over time
Build complex agents using Glean and N8N, and leverage AI-enhanced IDE tooling such as Cursor to develop agents, workflows, and full stack applications
Run internal tools head-to-head with external vendors to assess solution efficacy
Collaborate with internal product managers and Enterprise Systems to integrate key data sources securely into applications and agents while aligning with Motive’s data governance structure
Apply UX best practices so agents and applications meet users where they work and are easy for less technical business users to leverage
Develop a clear point of view on when an agentic workflow is warranted versus a business logic focused approach
Determine which internal development tools are best suited for specific use cases
Manage a provided cost envelope for production use cases, including testing different LLM models to balance performance with token consumption costs
Create and maintain documentation for launched solutions, and train end users on how to use them
Stay current with advancements in LLMs and agentic orchestration

Requirements

Strong understanding of AI fundamentals: context windows, token consumption, compute costs, chunking, and performance benchmarks
Knowledge of API usage, scripting, SQL/SOQL, and Python fundamentals
Experience with prompt engineering for complex tasks
Ability to leverage foundational models (such as Gemini, GPT, Claude) through both web interfaces and APIs
Familiarity with the evolving agentic ecosystem, including orchestration layers and MCP
An experimentation mindset, including rapid prototyping and learning from failures

Tools you’ll use

Glean, N8N, Cursor, Google Cloud
Gemini, GPT, Claude, MCP
SQL, SOQL, Python

Benefits

Health, pharmacy, optical, and dental care benefits
Paid time off
Sick time off
Short term and long term disability coverage
Life insurance
401k contribution

Pay transparency

Location: Remote (remote). United States

Salary range: $112,000 - $140,000 USD per year

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2d ago

AI Engineer

MSA Safety Cranberry Township, PA

Cranberry Township, PA

2d ago

Full time Agentic Ai AI Ai Agent

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Job Description

MSA Safety is building an AI Platform and is hiring an AI Engineer to design, build, and scale AI-enabled applications in a hybrid setup from Cranberry Township, PA.

Responsibilities

Design and build AI-enabled applications and services for intelligent search, agentic workflows, and artifact generation
Develop and orchestrate agentic systems that include tool use, multi-step reasoning, and evaluation loops informed by real-world feedback
Deploy, monitor, and continuously improve models and AI services on AWS
Collaborate with stakeholders across MSA business functions to translate real needs into tools for productive day-to-day use
Participate in architectural discussions and support technical decision-making across the team
Produce clean, maintainable, well-documented code and follow strong engineering practices including Git, code review, CI/CD, and testing

Requirements

Bachelor’s Degree in AI Engineering, Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline
Experience building AI-enabled applications, ideally with agentic workflows, tool orchestration, and evaluation
MLOps experience, including model deployment, monitoring, and evaluation in a cloud environment (AWS preferred)
Proficiency in Python; TypeScript is a plus
Working experience with at least one major ML framework: PyTorch or TensorFlow
Strong understanding of transformer-based models, including multimodal architectures
Familiarity with parameter-efficient fine-tuning such as LoRA and QLoRA, plus model optimization techniques including quantization, pruning, and distillation
Understanding of end-to-end software systems across the stack and in the cloud, including containers, serverless functions, databases, and observability/telemetry
Solid software engineering fundamentals with a history of clean, well-tested code
Ability to adapt at a fast pace, with curiosity to learn new tools and frameworks as the AI ecosystem evolves
Excellent communication skills, able to explain complex technical concepts to technical and non-technical stakeholders

Technologies

Python, TypeScript, PyTorch, TensorFlow
LoRA, QLoRA, quantization, pruning, distillation
AWS, containers, serverless functions, databases, observability/telemetry
Git, CI/CD, Hugging Face
AWS Bedrock, Bedrock AgentCore, Strands
SAP, Salesforce, SQL, ETL
Vision Transformers, CNNs

Career Levels

Level I: 0-1 years of experience
Level II: 1-3 years of experience
Senior: 3-5 years of experience

Preferred Education and Experience

Master’s Degree
Experience with open-source models via Hugging Face and managed services such as AWS Bedrock and Bedrock AgentCore, plus agent SDKs like Strands
Experience working with enterprise ERP and CRM systems including SAP and Salesforce
Experience delivering in an agile development environment
Experience with Vision Transformers and/or CNNs
Familiarity with SQL, ETL, and working with large datasets

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2d ago

AI & Machine Learning Developer

Johnson Health Tech North America Inc Vancouver, WA

Vancouver, WA

2d ago

$99k - $119k/yr Full time Backend Developer Ai Ml Ai/ml Models

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Job Description

Johnson Health Tech North America Inc is seeking an AI and Machine Learning Developer to support mobile fitness applications. The role focuses on researching, designing, and prototyping AI features that use large language models and AWS services to deliver more personalized user experiences, in collaboration with Android development teams.

Role Responsibilities

Research, design, and implement AI/ML solutions for mobile fitness applications.
Develop and fine-tune large language models to support natural language interactions and personalization.
Build scalable backend services using AWS technologies such as AWS Lambda, DynamoDB, and SageMaker.
Create a production-ready MLOps pipeline and deploy inference endpoints using AWS services including SageMaker and Bedrock.
Collaborate with Android developers to integrate AI features into client-side applications.
Produce prototypes and proof-of-concepts for new AI-driven features.
Keep current with emerging AI/ML technologies and best practices.
Maintain compliance with data privacy and security standards.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
3+ years of experience in AI/ML development with a focus on Natural Language Processing (NLP) and large language models.
Hands-on experience with AWS services used for AI/ML deployment.
Proficiency in Python and machine learning frameworks, including TensorFlow and PyTorch.
Experience building RESTful APIs and working within microservices architecture.

Technologies You Will Work With

Large Language Models (LLMs)
AWS Lambda, DynamoDB, SageMaker, Bedrock
Python, TensorFlow, PyTorch
Natural Language Processing (NLP)
RESTful APIs, microservices architecture

Location and Salary

Location: Vancouver, WA (onsite)

Salary: USD 99,000 to 119,000 per year

Minimum Experience: 3 years

Benefits

Health & Dental Insurance
Company paid Life Insurance
401(k)
Paid Time Off benefits
Product discounts
Wellness programs

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2d ago

Senior Machine Learning Engineer

Motion Recruitment Providence, RI

Providence, RI

2d ago

Full time Senior Agentic Ai Ai Agent

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Job Description

Motion Recruitment is hiring a Senior Machine Learning Engineer to lead hands-on technical work in Providence, RI on a hybrid schedule. In this role, you will help transform emerging AI concepts into durable, large-scale capabilities used in real product experiences, with a focus on generative AI, semantic search, retrieval frameworks, and multi-step agent workflows.

What you will deliver

100% hands-on technical contribution, from designing solutions to building and releasing AI features.
Develop and ship AI capabilities that improve how professionals discover, evaluate, and use complex information.
Create scalable services and shared infrastructure that support distributed machine learning applications.
Build retrieval pipelines, agent orchestration, and supporting components for generative AI products.
Collaborate with application, cloud, data, and security teams to meet performance, reliability, and governance requirements.

Core qualifications

Extensive experience designing and delivering applied machine learning solutions.
Proven ability to build systems powered by large language models and AI agents.
Strong understanding of retrieval-augmented generation, embeddings, and vector-based search.
Experience supporting model delivery using MLOps tooling and production practices.
Advanced Python programming ability.
Experience deploying cloud-native services with AWS and Kubernetes.
Prior work in legal technology, knowledge management, publishing, or another information-rich industry.
12+ years of software development experience, or 8+ years plus a doctorate.
A degree in computer science, machine learning, engineering, or a comparable technical field.

Tools and technologies

Python
AWS
Kubernetes
MLOps
Large language models
AI agents
Retrieval-augmented generation
Embeddings
Vector-based search

Benefits

Performance bonus eligibility
Medical insurance options
Dental coverage
Vision coverage
Paid time away from work
401(k) plan with company matching when applicable

This opportunity follows a hybrid work model in Providence, Rhode Island.

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3d ago

AI Engineer

Morgan Stanley New York, NY

New York, NY

3d ago

$120k - $165k/yr Full time Backend Developer Agentic Ai Agentic Ai Orchestration

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Job Description

Join Morgan Stanley’s Advanced Analytics, Machine learning and Gen AI Platform teams as an AI Engineer (Software Engineering III, Director level) in New York, NY (onsite). In this role, you’ll help build and deploy AI agents at scale using LLMs and reasoning models, supporting technology and business roadmaps with practical, production-oriented engineering across agent accuracy guardrails, calibration scoring, and cloud-ready architecture.

Compensation: USD 120,000 - 165,000 per year. Experience: 2+ years.

What you’ll do

Operate as a hands-on catalyst for building and deploying AI Agents at scale to accelerate technology and business roadmaps.
Evaluate state-of-the-art GenAI technologies and prototype solutions to improve the organization’s architecture and platform.
Design, implement, and operationalize distributed, scalable, and reliable data flows that ingest, process, store, and enable access to data at scale for batch and real-time use by AI agents.

What you’ll bring

2+ years of experience building GenAI solutions and supporting components across design, architecture, development, and operationalization of agent orchestrations at scale.
Strong proficiency with agent orchestration frameworks, including LangChain, LangGraph, CrewAI, and Microsoft’s AutoGen for multi-agent workflows.
Deep expertise in LLM APIs such as OpenAI, Anthropic, and AWS Bedrock, including prompt engineering (Chain-of-Thought) and fine-tuning for specific agent behaviors.
Ability to implement complex memory and context systems, including vector databases (Pinecone, Weaviate) and Retrieval-Augmented Generation (RAG) pipelines.
Proficiency integrating external APIs as agent tools, including function calling and error handling for malformed model outputs.
Expert-level Python (mandatory), commonly paired with FastAPI, Node.js, or Go.
Familiarity with Docker and Kubernetes for containerized deployment.
Comfort working in a fast-paced and dynamic environment, with good written and verbal communication skills.
Ability to work with limited or no supervision, share knowledge across team members, and manage time collaborating with a global team across multiple initiatives.

Key technologies you’ll work with

LLMs and reasoning models, LangChain, LangGraph, CrewAI, Microsoft AutoGen
OpenAI, Anthropic, AWS Bedrock
Chain-of-Thought, fine-tuning, RAG, function calling
Vector databases: Pinecone, Weaviate
Python, FastAPI, Node.js, Go
Docker, Kubernetes, and cloud adoption