> Markdown version of [/jobs/ext/2695606-ai-ml-technical-lead](https://www.wearedevelopers.com/jobs/ext/2695606-ai-ml-technical-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Technical Lead - **Company:** Blu Omega - **Location:** Atlanta, GA, United States (Remote available) - **Experience:** Expert - **Salary:** $175,000.0 - $185,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, JIRA, Microsoft Azure, Continuous Integration, Information Engineering, Data Infrastructure, Data Systems, Decision Support Systems, Python (Programming Language), Machine Learning, Open Source Technology, Tensorflow, Standard Sql, SQL Databases, Enterprise Data Management, Privacy Controls, Chatbots, Pytorch, Large Language Models, Multi-Agent Systems, Generative AI, Containerization, Pyspark, Information Technology, Data Analytics, Machine Learning Operations, Data Pipelines, Databricks - **Published:** September 3, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9138517/aiml-technical-lead ## About the Role Clearance: Ability to obtain and maintain a Public Trust suitability determination, * 5+ years of experience developing AI/ML solutions with Python * 5+ years supporting AI/ML solutions involving generative AI, LLMs, or AI agents * 3+ years designing AI agents, agentic architectures, MCP solutions, or AI evaluation strategies * Experience with PyTorch or TensorFlow in production environments * Strong data engineering skills using PySpark and SQL * Hands-on experience with Palantir Foundry and Foundry AIP supporting AI data solutions * Expertise in designing RAG architectures, retrieval workflows, and agent orchestration * Familiarity with MLOps tools such as MLflow and platforms like Azure or Databricks * Experience integrating enterprise AI tools such as Codex, Claude, Prompt Buddy, and OpenEvidence * Proven ability to lead technical teams in AI/ML and data engineering projects * Knowledge of security, privacy, and governance in regulated data environments * Strong communication skills to convey complex AI concepts to technical and non-technical audiences * Ability to support on-site work in Atlanta, GA or Washington, DC * U.S. work authorization and ability to obtain and maintain a Public Trust or Suitability/Fitness determination, * Experience delivering AI/ML solutions in healthcare, federal health, or biomedical sectors * Knowledge of open-source LLMs such as Llama, Gemma, or Phi * Experience developing conversational AI, virtual assistants, or full-stack AI applications * Familiarity with containerization, CI/CD, orchestration, and production MLOps pipelines * Experience with Agile delivery and tools such as Jira * Strong technical architecture documentation skills * Experience in enterprise AI governance, ethics, and responsible AI frameworks * Designing AI systems supporting retrieval, ranking, and decision support in high-stakes environments * Master's degree in computer science, data science, AI, or related fields ## Description Blu Omega is seeking an AI/ML Technical Lead to support a federal program focused on public health and safety. This role operates within a hybrid environment and is responsible for leading the architecture, development, and implementation of enterprise-scale AI and machine learning solutions. The position requires experience supporting AI, ML, and data-driven solutions within mission-driven environments., * Lead the architecture, design, and development of enterprise AI/ML solutions supporting complex public health use cases * Provide technical leadership to AI/ML engineers, data engineers, and other technical resources, establishing standards and approaches * Design and implement solutions leveraging Python, PySpark, SQL, Palantir Foundry, and Foundry AIP * Architect agentic AI solutions, including AI agents, multi-step workflows, and orchestration frameworks * Develop and refine end-to-end RAG architectures, including ingestion, retrieval, ranking, and response workflows * Create and maintain AI evaluation frameworks for performance, safety, and reliability monitoring * Guide MCP-enabled architectures for secure interaction with enterprise data and tools * Integrate AI tools such as Codex, Claude, Prompt Buddy, and OpenEvidence into operational workflows * Support scalable data pipelines and promote AI governance, responsible AI, and privacy standards * Apply MLOps practices using MLflow for model lifecycle management * Assess emerging AI technologies and recommend practical enterprise adoption strategies * Communicate technical decisions and architecture recommendations to diverse stakeholders ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)