Senior AI Prompt Engineer and AI/ML Solutions Developer

Senior AI Prompt Engineer and AI/ML Solutions Developer

Function: AI/ML Solutions, Prompt Engineering, Data Engineering, and Government Technology Innovation
Location: Remote, with ability to attend customer meetings in Arlington, Virginia as needed
Reports to: Program Technical Lead, AI Initiatives; Workforce 3 Engineering Leadership

Position Summary

BCG Federal is seeking a Senior AI Prompt Engineer and AI/ML Solutions Developer to support artificial intelligence and Generative AI initiatives across government programs. This role focuses on designing, developing, and deploying practical AI-enabled solutions aligned to operational government use cases, including workflow automation, document generation, meeting summarization, test-case generation, risk and issue reporting, research synthesis, decision-support analytics, and agent-based process automation.

The primary need for this role is a senior practitioner who can create effective AI prompts, build reusable prompt frameworks, design agentic workflows, and translate operational problems into working AI-enabled solutions. The successful candidate must be able to work independently, participate in discovery and solutioning discussions, understand the customer’s operational problem, and then take initiative to build, test, refine, and document practical solutions without waiting for step-by-step direction.

This role requires more than traditional data science. The ideal candidate will combine strong prompt engineering skills, applied AI/ML experience, Python development, data engineering, workflow automation, and practical understanding of secure government environments. The candidate should be comfortable working with program leadership, BCG and BCG X personnel, technical teams, government stakeholders, and contractor teams to move AI pilot efforts from concept to working prototype and, where appropriate, toward scalable implementation.

Job Responsibilities

• Design, develop, test, and refine AI prompts, reusable prompt libraries, structured prompt frameworks, and prompt-driven workflows for government operational use cases.
• Build practical Generative AI solutions that support use cases such as meeting notes summarization, document processing, test case generation, risk and issue reporting, research synthesis, code set proposal development, workflow automation, and decision-support analytics.
• Develop AI-enabled workflows using tools such as GenAI.mil Gemini, Ask Sage, no-code agent builders, workflow automation platforms, Python, APIs, and related AI/ML development tools.
• Translate customer needs, business processes, meeting discussions, and operational pain points into clear technical approaches, solution designs, prototypes, and implementation plans.
• Participate in discovery and solutioning meetings with BCG, BCG X, government stakeholders, contractor teams, and technical leads; identify what needs to be built and independently begin developing the solution.
• Build and refine agentic workflows, including multi-step processes, reusable prompts, decision paths, human-in-the-loop review points, structured outputs, and repeatable automation patterns.
• Develop Python-based solutions for data ingestion, transformation, analysis, reporting, automation, and AI/ML workflow support.
• Integrate APIs, data sources, transcripts, documents, structured data extracts, and operational datasets into working analytical or AI-enabled pipelines.
• Prepare, clean, structure, and transform inconsistent operational data for use in AI, machine learning, reporting, workflow automation, and decision-support solutions.
• Support development of AI/ML and Large Language Model applications, including Natural Language Processing, document summarization, information extraction, classification, prioritization, and structured content generation.
• Build or support solutions that convert raw operational inputs into usable outputs such as summaries, action items, reports, risk grids, test cases, draft proposals, briefing materials, or decision-support products.
• Apply responsible AI practices, including source grounding, output validation, hallucination mitigation, confidence calibration, human review, transparency, and quality control.
• Collaborate with technical teams, program leadership, and stakeholders to ensure AI solutions are practical, secure, usable, and aligned with mission needs.
• Support transition of successful AI pilots into scalable, maintainable, producti…