Senior AI Engineer

Overview

We are seeking a dynamic, forward-thinking Lead AI / ML Engineer to spearhead enterprise-wide adoption of AI-powered tools, workflows, and practices across both internal operations and client delivery teams. This candidate will partner with our internal AI Lab
, delivery teams, and back-office functions (Finance, HR, Recruiting, BD) to identify high-impact AI use cases, select or build fit‑for‑purpose tools, and train teams on their use to drive measurable gains in efficiency, quality, and innovation
.

The ideal candidate brings strong hands‑on knowledge of today’s AI tools and platforms (including GenAI, MLOps, RAG, AutoML, LLMOps, and orchestration frameworks) and combines that technical acumen with a change agent’s mindset—capable of translating potential into real‑world outcomes across diverse functions like software development, CI/CD infrastructure, HCD workshop synthesis, data engineering, AI/ML development, and business operations.

You’ll be helping transform a fast‑moving technology company with deep federal roots, a collaborative culture, and a commitment to innovation. Our AI Lab
, AI and Data Exploitation team
, and HCD experts are ready to work with you. You’ll serve as the bridge, ensuring cutting‑edge AI capabilities are used not just by technologists, but by every part of the enterprise.

• Strategy & Road mapping
  • Define and continuously refine the AI Enablement Roadmap for internal teams and delivery domains
  • Identify high‑leverage areas where AI tooling can dramatically reduce effort, increase quality, or accelerate timelines
  • Collaborate with internal AI Lab, AI & Data Exploitation, Salesforce, Cybersecurity, and Dev Sec Ops  leads to align technical solutions with transformation goals
• Tooling & Platform Enablement
  • Evaluate, prototype, and deploy AI tools to enhance workflows in software engineering, data analytics, design research, cybersecurity, business operations, and more
  • Lead integration of tools such as Git Hub Copilot, Code Whisperer, Claude, ChatGPT Enterprise, Lang Chain, Bedrock, Vertex AI, Salesforce Einstein GPT, and others
  • Drive internal adoption of AI‑enhanced CI/CD pipelines, documentation assistants, design synthesis tools, and domain‑specific copilots
• Change Management & Enablement
  • Develop and deliver training sessions, onboarding content, and office hours to help teams adopt new AI‑powered workflows
  • Act as the primary change agent, embedding with teams during rollouts to encourage adoption and refine tools based on feedback
  • Evangelize success stories across the organization to build momentum and executive buy‑in
• Client Delivery Innovation
  • Support delivery teams in embedding AI‑enabled components into client work, e.g., automated testing, generative UIs, smart data pipelines
  • Ensure internal gains in AI adoption translate into competitive delivery advantages and IP for client engagements
• Measurement & Governance
  • Define KPIs to track efficiency gains, quality improvements, and AI adoption across teams
  • Collaborate with Tech Ops and Legal teams to ensure responsible and compliant use of AI tools

Required

• Ability to hold a position of public trust with the US government.
• Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 5+ years of experience in technical delivery, software engineering, data science, platform architecture, or AI/ML development roles
• 3+ years of direct experience with modern AI tooling and practices, such as:
  • Generative AI platforms (OpenAI, Anthropic, Claude, Gemini, etc.)
  • LLM frameworks and RAG (Lang Chain, Llama Index, Bedrock, Vertex AI)
  • MLOps, LLMOps, or CI/CD automation with AI integration
  • Embedding‑based search, prompt/context engineering, custom fine‑tuning
• Demonstrated success in leading cross‑functional change across technical and non‑technical teams
• Excellent communication and facilitation skills—capable of training engineers, briefing executives, and co‑creating with designers
• Experience with AI safety, evaluation, red teaming, and responsible use in production environments
• Familiarity with federal government IT environments, security requirements, and cloud platforms (AWS, GCP, Azure)

Preferred Qualifications

• Experience standing up or working in an internal AI Lab, AI COE, or Innovation Hub
• Familiarity with Human‑Centered Design techniques and understanding of how to integrate AI into HCD workflows (e.g., persona generation, sticky note clustering, synthesis)
• Experience working in or supporting technical delivery in domains such as Dev Sec Ops , Salesforce, Cybersecurity, or AI and Data Exploitation
• Experience with internal platform or product development for employee‑facing AI tools (copilots, automations, agents)
• Familiarity with secure AI implementation in regulated or compliance‑heavy environments
• Certifications in AI/ML, cloud platforms, or Agile delivery