• Serve as a technical advisor to customers and internal teams, explaining architecture decisions, tradeoffs, risks, and implementation options to both technical and non-technical stakeholders.
• Recommend cloud, data, AI/ML, and DevSecOps patterns that align with government security and operational requirements.
• Identify technical risks, dependencies, and constraints, and develop practical mitigation strategies.
• Build and update hybrid deterministic-agentic AI pipelines using frameworks like LangChain and LlamaIndex to orchestrate modular, multi-step workflows.
• Fine-tune large language models for instruction-following, code synthesis, and domain-specific adaptation.
• Integrate code-as-data paradigms (ASTs, control/data flow graphs) to improve model explainability and trust.
• Create scalable, secure, and efficient AI architectures, selecting appropriate frameworks, algorithms, and cloud platform