AI/ML Engineer

Chenega Professional Services Strategic Business Unit; Atlanta (GA); Hybrid; USD 110,000 - 120,000; Full time

Job summary

Chenega Services & Federal Solutions, LLC, a Chenega Professional Services’ company, is seeking an AI/ML Engineer to lead strategic AI initiatives focused on modernization of public health platforms. You will design, develop, and deploy advanced AI capabilities, including AI agents, RAG, and large language models, to enable real-time insights and informed decision-making in mission-critical environments.

This role emphasizes architecture, memory/state management, RAG pipeline construction, and

Qualifications

• 8+ years of experience designing, developing, and deploying machine learning models.
• 8+ years of Generative AI, LLMs, or RAG applications.
• 8+ years of hands-on Python for ML and data engineering.
• Experience with Azure.
• Experience in SQL for data manipulation and feature engineering.
• Knowledge of MLflow (MLOps).
• Ability to support on-site work in Atlanta, GA.
• Ability to obtain and maintain Public Trust or Suitability/Fitness determination based on client requirements.
• Bachelor’s degree in technology, Engineering, or Computer Science.
• Successfully pass background and drug screening.

Responsibilities

• Integrate cutting-edge AI technologies—including AI agents—to enhance platform functionality, enable dynamic data interaction, and support real-time insights and decision-making.
• Develop and implement rigorous AI evaluation strategies to ensure reliability, performance, and continuous improvement across deployed AI solutions.
• Lead the design of foundational system architecture, including data modeling for AI agents, memory and state management, and construction and optimization of RAG pipelines.
• Drive performance optimization of retrieval workflows for public health use cases while defining and upholding strict data quality, curation, and documentation standards in collaboration with cross-functional AI teams.
• Maintain adherence to privacy requirements, anonymization protocols, and ethical guidelines essential to responsible public health data management.
• Other duties as assigned

Skills

Machine learning design

Generative AI / LLMs

Python for ML

Data modeling for AI agents

Memory and state management

RAG pipelines

Data privacy & ethics

Public health data awareness

Education

Bachelor’s degree in CS/Engineering

Tools

MLflow

Azure

SQL

Job description

Summary

etails below are subject to change based on final award.Come join a company that strives for

.In this role, you'll serve as a strategic AI technical lead supporting the modernization of public health platforms through the design, development, and deployment of advanced AI capabilities. This position integrates cutting‑edge technologies—including AI agents, retrieval‑augmented generation (RAG), and large language models (LLMs)—to enable dynamic interaction with structured and unstructured public health data, drive real‑time insights, and strengthen decision‑making across mission‑critical environments. This position is responsible for architecting and optimizing AI systems, including data modeling for AI agents, memory and state management, RAG pipeline construction, and performance tuning of retrieval processes tailored to public health use cases. The role develops and implements rigorous AI evaluation strategies to ensure high‑quality, trustworthy outputs and scalable performance across deployed solutions.

Summary Position contingent on contract award - d etails below are subject to change based on final award.Come join a company that strives for Extraordinary People and Exceptional Performance! Chenega Services & Federal Solutions, LLC, a Chenega Professional Services’ company, is looking for a AI/ML Engineer. In this role, you'll serve as a strategic AI technical lead supporting the modernization of public health platforms through the design, development, and deployment of advanced AI capabilities. This position integrates cutting‑edge technologies—including AI agents, retrieval‑augmented generation (RAG), and large language models (LLMs)—to enable dynamic interaction with structured and unstructured public health data, drive real‑time insights, and strengthen decision‑making across mission‑critical environments. This position is responsible for architecting and optimizing AI systems, including data modeling for AI agents, memory and state management, RAG pipeline construction, and performance tuning of retrieval processes tailored to public health use cases. The role develops and implements rigorous AI evaluation strategies to ensure high‑quality, trustworthy outputs and scalable performance across deployed solutions. Our company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employee’s knowledge, critical thinking, innovative solutions for our clients.

Responsibilities

• Integrate cutting‑edge AI technologies—including AI agents—to enhance platform functionality, enable dynamic data interaction, and support real‑time insights and decision‑making.
• Develop and implement rigorous AI evaluation strategies to ensure reliability, performance, and continuous improvement across deployed AI solutions.
• Lead the design of foundational system architecture, including data modeling for AI agents, memory and state management, and construction and optimization of RAG pipelines.
• Drive performance optimization of retrieval workflows for public health use cases while defining and upholding strict data quality, curation, and documentation standards in collaboration with cross‑functional AI teams.
• Maintain adherence to privacy requirements, anonymization protocols, and ethical guidelines essential to responsible public health data management.
• Other duties as assigned

Qualifications

• 8+ years of experience designing, developing, and deploying machine learning models
• 8+ years of experience with Generative AI, LLMs, or RAG applications
• 8+ years of hands‑on experience with Python for ML and data engineering
• Experience with Azure
• Experience in SQL for data manipulation and feature engineering
• Knowledge of MLOps tools (MLflow)
• Ability to support on‑site work in Atlanta, GA
• Ability to obtain andmaintaina Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor’s degree in technology, Engineering, or Computer Science.
• Successfully pass background and drug screening.

Teleworking Details

Hybrid - Onsite Work Required

Estimated Salary/Wage

USD $110,000.00/Yr. Up to USD $120,000.00/Yr.