AI​/Machine Learning Engineer

About Us About Us

Metas Solutions excels in providing strategic consulting, program management, and data-driven analytics to federal public health agencies. Our expertise enhances health systems and delivers measurable outcomes, helping agencies achieve their mission. We collaborate with federal partners to implement agile solutions for national public health initiatives, driving impactful changes through cutting‑edge programs that strengthen communities and promote well‑being. See  for further details about us and careers with Metas.

Metas Solutions has an "immediate opening" for a strategic AI-ML Engineer 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. This position is located in Atlanta, GA and will require on‑site support.

• 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.

• Bachelor's degree in technology, Engineering, or Computer Science.
• 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 and maintain Public Trust or Suitability/Fitness determination based on client requirements

• Experience in data‑centric AI or ML projects within healthcare, biomedical, or public health sectors
• Experience with full‑stack development or deploying end‑to‑end ML applications
• Experience with deploying ML solutions using Mols pipelines
• Knowledge of government public health data architecture and systems
• Knowledge of chatbot development or conversational AI
• Knowledge of Agile workflows and tools like Azure Dev Ops or JIRA
• Possession of excellent oral and written communication skills
• Ability to collaborate in a matrixed environment

• Must be US Citizen or with the ability to obtain a US Government security clearance (Public Trust
  5) within a reasonable period.
• Market competitive salary, commensurate with experience and education.
• Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities.

Metas Solutions is committed to maintaining a fair and competitive interview process for all candidates, based on their experience, skills, and education. To preserve the integrity and fairness of our interview process, candidates are expected to respond to all interview questions based on their own knowledge, skills, and experience. The use of artificial intelligence (AI) tools or other third‑party resources to generate, assist with, or provide interview responses during phone, virtual, or in‑person interviews is not permitted.

Any use of AI‑assisted responses during the interview process may result in disqualification from further consideration for employment.

We are an Equal Opportunity Employer/Veterans/Disabled