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13d ago

AI Engineer / Data Scientist

Vibotek LLC St. Louis, MO

St. Louis, MO

13d ago

Full time Artificial Intelligence Cloud Platform Data Architecture

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Job Description

Vibotek LLC seeks an experienced AI engineer and data scientist to lead the architecture, design, and development of a cloud-native, configuration-driven, event-based platform for healthcare payer workflows and Payment Integrity systems in St. Louis, MO onsite.

Responsibilities

Drive full lifecycle engineering programs from concept to delivery
Set architectural direction and contribute hands-on across modules
Design and implement scalable metadata-driven and rule-engine platforms
Collaborate with product, architecture, and business stakeholders to align roadmaps
Mentor engineers, enforce engineering best practices, and uphold quality standards

Requirements

8+ years of software engineering experience
Proficiency in Python or Java
Background with configuration-driven platforms and rule engines
Strong SQL and NoSQL database knowledge
Hands-on experience with Kafka and event-driven architectures
Experience with AWS services: EKS, ECS, Lambda, S3, RDS, DynamoDB
CI/CD, Docker, Kubernetes, GitOps experience
Healthcare domain expertise with a focus on Payment Integrity

Technologies

Python
Java
SQL
NoSQL
Kafka
AWS (EKS, ECS, Lambda, S3, RDS, DynamoDB)
CI/CD, Docker, Kubernetes, GitOps
Oracle
Windsurf
GitHub Copilot
Cursor
Payment Integrity Platforms
Qwen
Gemma
Llama
Claude
Gemini
Codex

Role overview

Role overview: A strong Lead Engineer to drive the architecture, design, and development of a cloud-native, configuration-driven, event-based platform that supports healthcare payer workflows and Payment Integrity systems.

Preferred Experience

Autonomous agents
Tool-calling workflows
Multi-agent architectures
Local or private AI deployments
Advanced AI reasoning and orchestration
Hands-on experience with modern AI models such as Qwen, Gemma, Llama, Claude, Gemini, Codex
Kafka and Payment Integrity experience is required

Key skills

Python
Oracle
Kafka
Windsurf
GitHub Copilot
Cursor
Payment Integrity Platforms

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13d ago

AI Engineer

Lambentwit technologies Dulles, VA

Dulles, VA

13d ago

$175k - $225k/yr Full time AI Artificial Intelligence Cloud

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Job Description

Join Lambentwit technologies in Dulles, VA for a hybrid AI engineering role focused on a mission-critical U.S. Government program in a secure environment. The position offers a salary of $175,000–$225,000 per year and requires an active Top Secret clearance. In addition to competitive compensation, you will access a comprehensive benefits package and opportunities for professional growth in a collaborative, security-conscious setting.

Responsibilities

Design, develop, and deploy AI/ML solutions for mission-critical government applications.
Build and optimize Large Language Model and Generative AI applications.
Develop Retrieval-Augmented Generation solutions using secure enterprise data.
Fine-tune foundation models for classified and mission-specific use cases.
Design scalable AI architectures across cloud and on-premises environments.
Collaborate with cybersecurity teams to ensure AI systems meet federal security requirements.
Implement secure AI development practices and defend AI systems against adversarial attacks.
Perform model evaluation, validation, monitoring, and continuous improvement.
Develop APIs and microservices to integrate AI capabilities into enterprise applications.
Participate in architecture reviews, code reviews, and security assessments.
Prepare technical documentation, implementation guides, and system design artifacts.
Support Authority to Operate activities and security compliance documentation.
Work closely with government stakeholders and program leadership to deliver mission objectives.

Requirements

Active Top Secret Clearance (TS required).
Bachelor's degree in Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Software Engineering, or related technical field.
5+ years of software engineering experience.
3+ years of hands-on AI/ML engineering experience.
Strong Python programming skills.
Experience with TensorFlow, PyTorch, Scikit-learn, LangChain, LlamaIndex, Hugging Face Transformers, or similar AI frameworks.
Experience developing Generative AI and Large Language Model applications.
Knowledge of Retrieval-Augmented Generation, vector databases, embeddings, and prompt engineering.
Experience with REST APIs, Docker, Kubernetes, and Git.
Experience deploying AI applications in AWS GovCloud, Azure Government, or secure on-premises environments.
Strong understanding of software engineering best practices and Agile methodologies.

Technologies

Python
SQL
Java or C++
PyTorch
TensorFlow
Scikit-learn
LangChain
LlamaIndex
Hugging Face Transformers
OpenAI APIs
Pinecone
Milvus
FAISS
ChromaDB
Docker
Kubernetes
Git
Jenkins
GitHub Actions
Linux
AWS GovCloud
Azure Government
Elasticsearch
Redis

Benefits

401(k)
401(k) matching
Dental insurance
Employee assistance program
Flexible schedule
Health savings account
Paid time off
Parental leave
Professional development assistance
Retirement plan
Tuition reimbursement

Application Question(s)

Do you hold Top-secret clearance?

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13d ago

Expert Consultant, Coro, AI Engineer

Bain & Co. Washington, DC

Washington, DC

13d ago

$129k - $172k/yr Full time Python Advanced Analytics Agentic Ai

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Job Description

Join Bain & Company in Washington, DC, onsite, as an AI Engineer on the Coro team. You will help build GenAI powered tools and data-driven capabilities for B2B Commercial Excellence, designing, developing, and deploying AI solutions from proofs of concept to production in a client-facing consulting setting. This role centers on agentic workflows, retrieval pipelines, and ML models that drive business value for our clients.

This position offers a compelling benefits package and a collaborative culture that supports growth, impact, and professional development. You will work closely with Bain consultants and client teams to deliver practical AI solutions, balancing quality, speed, privacy, and adoption in enterprise environments.

Responsibilities

Design and build GenAI applications such as copilots, workflow automation, and decision-support tools for commercial teams using modern large language model stacks.
Implement agentic workflows with value, including tool use, multi-step execution, and human-in-the-loop controls, emphasizing reliability, safety, and clear failure modes.
Design and construct advanced search, retrieval, and knowledge pipelines across diverse data stores, covering indexing, metadata, relevance tuning, freshness, caching, access controls, and source attribution.
Develop robust agent capabilities including context engineering, memory and state management, orchestration, routing, and tool integration patterns.
Integrate AI solutions into enterprise environments and workflows (APIs, data systems, collaboration tools) while balancing quality, latency, cost, privacy, and adoption.
Translate ambiguous client needs into clear technical requirements, tradeoffs, and delivery plans.
Deliver end-to-end ML solutions: data preparation, feature engineering, model selection, training, validation, testing, and performance analysis.
Apply suitable methods spanning classical ML and deep learning, including sequence, text, and image models where relevant.
Create reproducible training and evaluation pipelines with versioning, experiment tracking, robust validation, and documentation.
Demonstrate fluency with modern deep learning concepts, including transformer fundamentals and LLM pre-training versus post-training approaches.
Write clean, testable, maintainable code and ship AI services through the full SDLC: build, test, deploy, monitor, and iterate.
Implement MLOps and GenAIOps practices: CI/CD, reproducibility, environment parity, model/prompt/agent versioning, and operational readiness.
Build evaluation and observability for GenAI and agentic systems: tracing, instrumentation, regression test suites, automated scoring, and iteration loops for prompt and policy optimization.
Design for secure enterprise deployment: access controls, auditability, handling of sensitive and PII data, and responsible AI guardrails.
Develop reusable components and accelerators that scale across client contexts, including templates, evaluation harnesses, connectors, and orchestration patterns.
Communicate clearly with technical and non-technical stakeholders; lead working sessions, present recommendations, and document technical approaches succinctly.
Collaborate with Bain consultants to prioritize technical decisions that unlock business value and support proposal shaping and scoping.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
3-5+ years of professional AI / ML engineering experience with strong backend fundamentals.
Proficiency in Python and experience building APIs / services (REST / gRPC) and integrating with enterprise systems.
Hands-on experience delivering LLM powered applications with attention to latency, cost, reliability, and security.
Experience building advanced retrieval and search systems (hybrid retrieval, vector search, reranking) and working across vector, graph, relational, document, and search data stores.
Experience implementing agentic patterns (context management, tool integration, orchestration, memory/state handling) with modern frameworks (LangGraph, OpenAI Agents SDK, Pydantic AI) or custom agent loops; solid judgment on when to apply agentic approaches.
Experience creating reusable skills, tools, and services for agent use, with schema validation (Pydantic) to enforce reliable data contracts.
Strong engineering practices: testing, code review, version control, CI/CD, and performance profiling.
Experience deploying and operating services on AWS, GCP, and/or Azure, including environment management, reliability, observability, and scaling.
Experience with Docker and Kubernetes (or equivalents) and operating services in production (debugging, performance, resilience).
Proven ability to meet security, privacy, and governance requirements for AI systems (authentication/authorization, access controls, PII handling, enterprise risk controls).
Experience training, validating, and testing ML models with solid understanding of overfitting, generalization, and evaluation methodology.
Practical experience with feature engineering and data preprocessing for real-world datasets.
Familiarity with a broad set of ML algorithms (classical and deep learning) and the ability to select methods aligned with business constraints.
Familiarity with deep learning frameworks (PyTorch/TensorFlow) and ML lifecycle tooling (experiment tracking, model registry, feature store concepts).
Ability to operate effectively in ambiguous and complex environments, manage priorities, and deliver outcomes independently or with a team.
Excellent interpersonal and communication skills; able to explain technical decisions and results to mixed audiences.
Strong stakeholder management skills and comfort working directly with clients.

Technologies

Python
REST, gRPC
LangGraph
OpenAI Agents SDK
Pydantic AI
Docker
Kubernetes
AWS, GCP, Azure
PyTorch, TensorFlow
MCP

Compensation and Benefits

Base salary range of USD 128,500 to 171,500 annually, with variation by location and experience for states including Massachusetts, New York, District of Columbia, Georgia, Illinois, Texas, Washington, and California.
Annual discretionary performance bonus.
4.5% 401(k) company contribution, increasing after three years of service, fully vesting on start date.
Bain pays 100% of individual employee premiums for medical, dental, and vision coverage.
Generous paid time off including parental leave, sick leave, and holidays.
Paid life and long-term disability insurance.
Annual fitness reimbursements.
Other comprehensive benefits and wellness programs in line with Bain’s offerings.

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14d ago

Principal Configuration Data Analyst

Northrop Grumman Huntsville, AL

Huntsville, AL

14d ago

$90k - $135k/yr Full time Senior Analyst Configuration Management

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Job Description

Principal Configuration Data Analyst role with Northrop Grumman Defense Systems in Huntsville, AL, focused on interpreting contract requirements and CDM SOWs, formatting documents for approvals, and preparing archives, while supporting internal and external audits. A Secret clearance is required, and travel of approximately 10 percent is expected.

Responsibilities

Interpret Form DD-1423 requirements and map the relationship between Contract and Subcontract Deliverable Requirements Lists (CDRL/SDRLs).
Validate Configuration and Data Management (CDM) Statement of Work (SOW) requirements.
Format documents in preparation for approver reviews.
Prepare documentation for archival.
Support internal and external audits (CMMI).
Maintain audit trails.

Requirements

Education and experience equivalents: Bachelor’s degree with 5 years of related experience, Master’s degree with 3 years of related experience, PhD with 1 year of related experience, or 9 years of professional related work experience may be considered in lieu of the degree requirement.
Experience with Configuration Management and Data Management principles to include management of contract and supplier data.
Experience following documented rules and guidelines to ensure technical content meets internal and customer requirements.
Experience with MIL-HDBK-61.
Ability to obtain and maintain the final adjudicated U.S. Government Secret Clearance (in-scope or enrolled in Continuous Evaluation) and any program access required for the position within a reasonable period of time, as determined by the Company.

Technologies

Jira
SharePoint
Teamcenter

Benefits

Health insurance coverage
Life and disability insurance
Savings plan
Company paid holidays
Paid time off (PTO) for vacation and/or personal business
Annual bonuses
Long Term Incentives

Location

Huntsville, Alabama, onsite.

Salary

Annual salary range: USD 89,900.00 – 134,900.00 per year.

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14d ago

Senior Lead Data Engineer (Enterprise Platforms Technology)

Information Technology Senior Management Forum Plano, TX

Plano, TX

14d ago

$209k - $239k/yr Full time Senior Big Data Cloud Platform

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Job Description

Information Technology Senior Management Forum is hiring a full-time, onsite Senior Lead Data Engineer in Plano, TX. The role offers a salary range of USD 209,000 to 238,500 per year and requires a Bachelor’s Degree. The position centers on leading data engineering initiatives, ML-enabled solutions, and cloud-based data warehousing within an Agile environment.

Responsibilities

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Requirements

At least 6 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Technologies

Java
Scala
Python
SQL
Open Source RDBMS
NoSQL databases
Redshift
Snowflake
Databricks
Spark
AWS Glue
Kafka
Event Streams
AWS
Microsoft Azure
Google Cloud

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14d ago

Senior Lead Data Engineer

Information Technology Senior Management Forum Chicago, IL

Chicago, IL

14d ago

$209k - $239k/yr Full time Senior Big Data Cloud Platform

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Job Description

Join Information Technology Senior Management Forum as a Senior Lead Data Engineer, guiding data engineering initiatives, architecting cloud-based data platforms, and mentoring a team of engineers. This role emphasizes collaboration across Agile teams and cross-functional partners to solve complex business problems with scalable data solutions.

Location

Chicago, IL (onsite)

Salary

USD 209,000 - 238,500 per yearly

Responsibilities

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions across full-stack development tools and technologies
Lead a team of developers with deep experience in machine learning, distributed microservices, and full-stack systems
Use programming languages such as Java, Scala, and Python, along with Open Source RDBMS and NoSQL databases and cloud-based data warehousing services like Redshift and Snowflake
Share a passion for staying current with tech trends, experimenting with new technologies, participating in internal and external technology communities, and mentoring other engineers
Collaborate with digital product managers to deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct code reviews to ensure solutions are rigorously designed, well-coded, and optimized for performance

Requirements

Bachelor’s Degree
Minimum 1 year of overall experience
At least 6 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Technologies

Java
Scala
Python
Open Source RDBMS
NoSQL databases
Redshift
Snowflake
AWS
Microsoft Azure
Google Cloud
MapReduce
Hadoop
Hive
EMR
Kafka
Spark
Gurobi
MySQL
Mongo
Cassandra
UNIX/Linux
shell scripting
interactive AI tooling

Type

Full-time

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14d ago

Sr Databricks Data Engineer

Deloitte Tempe, AZ

Tempe, AZ

14d ago

$116k - $229k/yr Full time Azure Azure DevOps Big Data

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Job Description

Deloitte is seeking a Senior Databricks Data Engineer to join the AI and Data practice in Tempe, Arizona on site. This role focuses on designing, building, and optimizing cloud based data engineering solutions to modernize data platforms, enable analytics and AI use cases, and drive data driven decision making across large scale enterprise transformations. The position offers a salary range of USD 116,200 to 229,100 per year and requires a bachelor’s degree in Computer Science, Engineering, or a related field with a minimum of one year of experience.

Responsibilities

Champion Best Practices: Define, document, and promote leading approaches for data architecture, integration, and modeling.
Pipeline Ownership: Design, develop, and maintain robust data pipelines and architectures that support enterprise data needs at scale.
Drive Excellence: Lead initiatives to enhance data quality, operational efficiency, and process scalability.
Team and Technology Lead: Assess, pilot, and integrate new big data and analytics technologies; mentor data engineers and architects to ensure effective project delivery.
Data Governance: Advise on and implement governance, security, and compliance strategies for modern cloud data ecosystems.
Communication: Translate technical concepts and business value for executives, business leads, and technology teams.
DevOps and Automation: Oversee CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell to streamline deployments and operations.

Requirements

Ability to work independently and collaboratively within a team.
Strong written and verbal communication skills.
Meticulous attention to detail and quality of work.
Ability to build and maintain professional relationships.
Capacity to lead projects or workstreams.
Ability to manage multiple tasks in a fast paced and dynamic environment.
Strong interpersonal skills and professional demeanor.
Ability to meet deadlines.
Bachelor's degree in Computer Science, Engineering, or a related field.
5+ years of hands on data engineering experience focusing on Databricks on AWS, Azure, or GCP.
Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud native databases, storage solutions, and distributed compute platforms.
Experience with data warehousing, 3NF, dimensional modeling, enterprise data lakes, incremental data loads, and metadata driven ingestion and data quality frameworks using PySpark.
1+ year leading complex cross functional data projects and technical teams, including Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated CI/CD pipelines, and optimization of data pipelines, code, and compute resources.
Willingness to travel up to 50 percent depending on assignment and client needs.
Limited immigration sponsorship may be available.

Qualifications Required

Bachelor's degree in Computer Science, Engineering, or a related field.
5+ years of hands on data engineering experience with a focus on Databricks on AWS, Azure, or GCP.
Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud native databases, storage solutions, and distributed compute platforms.
Experience with data warehousing, 3NF, dimensional modeling, enterprise data lakes, incremental data loads, and metadata driven ingestion and data quality frameworks using PySpark.
1+ year leading complex cross functional data projects and technical teams, with experience in Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated CI/CD pipelines, and performance optimization of data pipelines and compute resources.
Ability to travel 50 percent on average based on project requirements.
Limited immigration sponsorship may be available.

Preferred

Master’s degree in Computer Science, Engineering, or a related field.
Experience across one or more cloud ecosystems (AWS, Azure, GCP) and associated big data services.
Proficiency in tuning and optimizing performance within Databricks and Apache Spark environments.
Experience with Databricks Lakeflow.
Background in artificial intelligence and machine learning solutions.

Technologies

Databricks, Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Unity Catalog, Databricks Lakeflow
Apache Spark, PySpark
AWS, Azure, GCP
Azure DevOps, AWS Code Pipeline, Jenkins, TFS, PowerShell
Lakehouse architectures, cloud-native databases, and distributed compute platforms
Apache Airflow

The Team

Deloitte's Core AI and Data practice assists organizations in modernizing data platforms, strengthening enterprise data foundations, and scaling analytics and AI capabilities across the business. The team collaborates with clients to architect, engineer, and deploy cloud-based data solutions that improve decision making, drive innovation, and support large-scale transformation. Practitioners work across business and technology functions to solve complex data modernization challenges.