AI Transformation Lead
US-VA-McLean
External
Req #: 6671
Type: Full-Time
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Overview: We are seeking a dynamic, forward-thinking AI Transformation Lead to spearhead enterprise-wide adoption of AI-powered tools, workflows, and practices across both internal operations and client delivery teams. This strategic leader 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. Responsibilities: 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. Your key contributions include: * Strategy & Roadmapping * 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 DevSecOps 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 GitHub Copilot, CodeWhisperer, Claude, ChatGPT Enterprise, LangChain, 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 TechOps and Legal teams to ensure responsible and compliant use of AI tools Qualifications: * 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 (LangChain, LlamaIndex, 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 DevSecOps, 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
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