AL/ML Technical Lead

AL/ML Technical Lead

The Opportunity: 

As an AI/ML Technical Lead, you will define and drive the technical direction of mission-critical AI systems supporting Public Health and Safety. You will lead the design and implementation of scalable machine learning and generative AI solutions, including AI agents, retrieval-augmented generation (RAG) systems, and evaluation frameworks that ensure reliability, safety, and mission alignment. 

You will serve as a technical authority across a community of engineers, partnering with data engineers, architects, product owners, and stakeholders to shape enterprise AI strategy, architecture standards, and delivery practices. Your work will span end-to-end AI system design—from data pipelines and modeling to agent orchestration, memory or state management, retrieval optimization, and production deployment. 

In this role, you will also lead the development of AI evaluation strategies, prompt engineering workflows, and governance frameworks using tools such as MCP, Prompt Buddy, Codex, Claude, and OpenEvidence. You will ensure systems are performant, explainable, secure, and compliant with public health data privacy and ethical standards. This position is located in Atlanta, GA.

What You'll Work On: 

• Lead the design and development of scalable AI/ML systems using PySpark and Palantir Foundry for public health mission applications. 

• Architect generative AI solutions, including AI agents, MCP-enabled workflows, Prompt Buddy integrations, and RAG pipelines. 

• Define AI evaluation frameworks covering performance benchmarking, retrieval optimization, safety validation, and production monitoring. 

• Design and implement agent architectures with memory, state management, orchestration, and structured or unstructured data interaction. 

• Integrate advanced AI tools such as Codex, Claude, and OpenEvidence into enterprise AI workflows and platforms. 

• Establish data governance, privacy, anonymization, documentation, and ethical AI standards across AI/ML systems.

Join us. The world can’t wait. 

You Have: 

• 5+ years of experience designing, developing, and deploying machine learning and AI solutions using Python 

• 5+ years of experience with Generative AI, LLMs, AI agents, or RAG systems in enterprise environments 

• 3+ years of experience with AI agents, MCP frameworks, or AI evaluation strategy development 

• Experience with ML frameworks such as TensorFlow or PyTorch for production model development 

• Experience with data engineering using PySpark, SQL, and Palantir Foundry, including Foundry AIP

• Experience with MLOps platforms such as MLflow and cloud environments such as Azure or Databricks

• Experience integrating or working with AI tooling such as Codex, Claude, Prompt Buddy, or OpenEvidence in enterprise settings 

• Knowledge of public health, healthcare, or government data systems and associated governance practices 

• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements 

• Bachelor's degree in Computer Science, Engineering, or Data Science

Nice If You Have: 

• Experience working in healthcare, biomedical, or government public health AI/ML environments 

• Experience with open-source LLMs such as LLaMA, Gemma, or Phi 

• Experience with conversational AI, chatbot systems, or full-stack AI application development 

• Experience with containerization, CI/CD, orchestration, and production MLOps pipelines

• Experience with Agile delivery environments and tools such as JIRA 

• Experience writing technical documentation and presenting AI/ML architecture decisions to a broad range of audiences 

• Knowledge of enterprise AI governance, compliance, and ethical AI frameworks 

• Knowledge of AI systems for retrieval, ranking, and decision-support in high-stakes environments 

• Ability to collaborate effectively in matrixed, cross-functional organization and design and deploy scalable AI systems involving retrieval optimization, memory or state management, and agent orchestration<