About this opportunity
Jobtailor lists this AL/ML Technical Lead opportunity in atlanta, Georgia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Define and drive the technical direction of mission-critical AI systems supporting public health and safety
Lead the design and implementation of scalable ML and generative AI solutions, including AI agents, RAG systems, and evaluation frameworks
Serve as a technical authority across a community of engineers
Partner with data engineers, architects, product owners, and stakeholders to shape enterprise AI strategy, architecture standards, and delivery practices
Design AI systems end-to-end, including data pipelines, modeling, agent orchestration, memory or state management, retrieval optimization, and production deployment
Lead AI evaluation strategies, prompt engineering workflows, and governance frameworks
Ensure systems are performant, explainable, secure, and compliant with public health data privacy and ethical standards
Lead development of scalable AI/ML systems using PySpark and Palantir Foundry for public health mission applications
Architect generative AI solutions, AI agents, MCP-enabled workflows, Prompt Buddy integrations, and RAG pipelines
Define evaluation frameworks for 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 Codex, Claude, and OpenEvidence into enterprise AI workflows and platforms
Establish data governance, privacy, anonymization, documentation, and ethical AI standards across AI/ML systems
Requirements
5+ years of experience designing, developing, and deploying AI/ML 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 managing a technical team
Experience with MLOps platforms such as MLflow
Experience with cloud environments such as Azure or Databricks
Experience integrating or working with 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
Core Competencies
Demonstrates expertise in designing and implementing scalable AI/ML solutions, with a strong focus on generative AI, AI agents, and data governance in public health contexts. Proven ability to lead technical teams and establish ethical AI standards while ensuring compliance with data privacy regulations.
Highest-signal resume keywords
AI/ML Solution Development
Generative AI Expertise
Data Engineering with PySpark
MLOps Experience
Public Health Data Knowledge
ATS Optimization Keywords
Hard Skills
Python Programming
Machine Learning Frameworks
AI Evaluation Strategy Development
Data Pipeline Design
Agent Architecture Design
Soft Skills
Team Leadership
Stakeholder Collaboration
Technical Authority
Certifications & Qualifications
Bachelor's Degree
Public Trust or Suitability/Fitness Determination
Industry Keywords
Public Health
Healthcare Data Systems
Government Data Systems
Data Privacy
Ethical AI Standards
Tools & Technologies
PySpark
Palantir Foundry
TensorFlow
PyTorch
MLflow
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Worksite address
atlanta, GA, 30383, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.