Our client's Forward Deployed AI Engineers embed with government partners to tackle high-priority, fast-moving challenges-designing and deploying AI solutions that accelerate decisions, uncover anomalies, and unlock the power of their generative AI (GenAI) platform.
Responsibilities
Own technical delivery:
Drive AI solution design and implementation across multiple government deployments, from first prototype to stable mission use.
Embed with customers:
Serve as a technical thought partner to mission stakeholders, guiding adoption, maximizing impact, and ensuring successful deployments.
Build GenAI-enabled systems:
Prototype and implement pipelines using Python, TypeScript, or comparable stacks aligned to customer mission needs.
Guide value realization:
Help customers understand trade-offs, sequence delivery, and adapt applications to achieve operational outcomes.
Deliver clarity under ambiguity:
Scope projects, remove blockers, and make informed trade-offs between speed, scope, and quality.
Contribute directly in code:
Write and review software across backend and full-stack environments when clarity or momentum depends on it.
Codify patterns:
Capture reusable workflows, best practices, and lessons learned into playbooks, tools, and building blocks that scale beyond a single project.
Shape the roadmap:
Share field signal with Client's product and research teams to guide the evolution of AI capabilities.
Qualifications
Minimum Qualifications
Bachelor's degree in Computer Science, Data Science, or a related technical field (or equivalent practical experience).
5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments.
Hands-on experience building and deploying applications that integrate AI/LLMs, APIs, and data pipelines.
Strong programming skills in Python and proficiency in a modern full-stack environment (e.g., JavaScript/TypeScript, MEAN, Node.js).
Familiarity with cloud deployment (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, etc.).
Ability to translate customer needs into actionable technical approaches and deliver solutions in fast-moving or ambiguous contexts.
Excellent problem-solving, judgment, and communication skills, with ability to engage technical and non-technical stakeholders alike.
Must have an active TS/SCI security clearance
Desired Qualifications
Master's degree in Computer Science, Data Science, or related technical field.
Experience deploying systems powered by generative AI (LLMs, RAG architectures, Model Context Protocol) in sensitive or mission-critical settings.
Proven track record of scoping and delivering complex systems under tight timelines.
Familiarity with DevSecOps practices, CI/CD, and secure software development for government environments.
Demonstrated ability to simplify complexity, anticipate risks, and provide clarity in high-stakes environments.