We are seeking an experienced AI Developer to serve as a technical authority and product-focused subject-matter expert across our predictive and generative AI solution portfolio. This role will provide expert guidance on the architecture, design, development, and delivery of enterprise-grade AI applications—spanning LLM-powered systems, RAG pipelines, agents, multimodal solutions, and custom machine learning models. The AI Developer / Product SME will work closely with engineering, product, UX, evaluation, governance, and client leadership to define AI capabilities that meaningfully support mission outcomes.
- Serve as the senior technical expert for the design and implementation of production AI systems, advising teams on architecture, model selection, orchestration strategies, and optimal development patterns.
- Lead the creation of scalable, reusable AI components, services, and frameworks that accelerate delivery across the organization.
- Partner with product teams to translate mission challenges into well-defined AI-enabled features, workflows, and technical requirements.
- Provide deep expertise on LLMs, embedding models, fine-tuning techniques, agentic systems, and retrieval-augmented generation (RAG) architectures.
- Guide engineering teams on best practices for prompt engineering, context management, document processing, evaluation-driven iteration, and safe system design.
- Collaborate with LLMOps teams to ensure robust deployment patterns, monitoring strategies, inference optimization, and lifecycle management of AI models and pipelines.
- Conduct technical reviews, validate solution designs, and ensure alignment with enterprise architecture, governance policies, and client goals.
- Mentor senior engineers and guide teams through complex AI development challenges with a focus on software engineering excellence and user-centered design.
- Stay current with emerging AI technologies, research, frameworks, and foundational models; evaluate their suitability for client missions and incorporate learnings into practice standards.
- Act as an expert advisor in client-facing discussions, helping stakeholders understand capability tradeoffs, risks, and opportunities associated with AI solutions.
- Contribute to the development of accelerators, design patterns, internal best-practice guides, workshops, and training to expand AI delivery maturity across the practice.
- Ability to hold a position of public trust with the US government.
- Bachelor’s degree and 10 years of experience
- OR Master's degree and 8 years of experience
- Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
- Hands-on experience with LLMs and Generative AI (OpenAI, Bedrock, etc.)
- Strong experience with frameworks (e.g., PyTorch, TensorFlow, LangChain)
- Experience building production-grade AI systems
- Python and API-driven architecture experience
- Cloud experience (preferably AWS)
- Conversational AI / chatbot experience
- Vector databases, embeddings, and RAG patterns
- Experience in secure/regulatory environments