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Design, develop, deploy, and iterate production machine learning and generative AI solutions. Responsibilities include model development, NLP, prediction, anomaly detection, LLM and RAG integration, data pipelines, feature engineering, evaluation, monitoring, API integration, and architecture decisions. The role collaborates cross-functionally to balance accuracy, latency, cost, scalability, and maintainability.

Build and maintain pricing models for federal contract proposals, analyze solicitations and cost inputs, perform cost realism and price-to-win analysis, and support subcontractor pricing. Prepare financial presentations, maintain historical pricing data, and ensure compliance with FAR/DFARS requirements. Collaborate with finance, growth, operations, and leadership throughout the capture-to-submission and negotiation lifecycle.

Lead design and delivery of federal software solutions; support capture and proposal efforts; author technical volumes; ensure compliance with NIST/FedRAMP/FISMA/Section 508; build reusable solution patterns; write maintainable code and establish engineering practices.

Lead hands-on full stack development across prototypes and production systems, collaborate with architects and designers, evaluate emerging technologies (including AI/ML and Generative AI), write well-tested code, support architecture decisions, mentor junior engineers, and drive technical discovery in ambiguous problem spaces.

Design and own an enterprise-scale, multi-cloud data and analytics platform for the VA. Lead migration and modernization, implement governance/security/compliance for sensitive PII/PHI, enable AI/ML capabilities, support ingestion and interoperability across VA systems, and produce architecture and compliance documentation while collaborating with engineers, analysts, and stakeholders.

Lead content strategy and production for government proposals (RFPs, RFQs, RFIs), coordinating with capture, BD, and SMEs to produce compliant, persuasive technical and management volumes, graphics, and presentations. Drive peer reviews, ethical AI use in drafting, and improvements to the proposal process to win federal work.