AI Advisor
Listed on 2025-12-31
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IT/Tech
AI Engineer
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.
Join Accenture Federal Services, a technology company and part of global Accenture, to do work that matters in a collaborative and caring community, where you feel like you belong and are empowered to grow, learn and thrive through hands‑on experience, certifications, industry training and more.
Join us to drive positive, lasting change that moves missions and the government forward!
Responsibilities- Strategic Advisory – Provide expert counsel to leadership on emerging AI technologies, capabilities, and industry trends
- Assess and recommend infrastructure, tools, workforce requirements, and skill development strategies needed to leverage cutting‑edge AI technologies
- Translate complex technical concepts into actionable strategic recommendations for senior leadership AI strategy
- Development & Execution – Lead the development and delivery of the comprehensive AI strategy and subsequent AI implementation plan, providing a detailed roadmap of tasks, milestones, responsibilities, and timelines for enterprise AI adoption
- Organize, convene, and lead cross‑functional working groups to develop comprehensive AI strategies and policies
- Currently leading enterprise‑wide Generative AI initiatives, incorporating best practices and thought leadership from industry partners
- Design and recommend enterprise AI capabilities that align with mission objectives and operational requirements
- Ensure the AI implementation plan establishes clear accountability frameworks, resource requirements, and performance metrics for successful strategy execution
- Acquisition & Requirements Development – Lead development of capability needs statements (CNS) for AI technologies, including stakeholder identification, consensus building, and deliverable completion within established timelines
- Provide expert guidance on optimal acquisition pathways (e.g., Software Acquisition Pathway) for AI capabilities
- Governance & Policy – Advise on the design, organization, and execution of AI governance structures across the enterprise
- Support the formulation and advancement of AI policies, strategies, and acquisition plans through collaborative stakeholder engagement; ensure compliance with federal AI guidelines and DoD directives
- Stakeholder Management & Collaboration – Build consensus among diverse stakeholders across technical, operational, and leadership communities; foster collaborative environments that drive innovation and strategic alignment; facilitate effective communication between technical teams, acquisition professionals, and senior leadership
- 8 years of experience with a Bachelor's degree or 5 years with a Master's degree in Computer Science, Operations Management, Mathematics, Engineering, Data Science or a related technical field
- Demonstrated experience in senior leadership roles advising solutions
- Background in AI/ML technologies and enterprise technology adoption
- Architecting and implementing generative AI models and frameworks across small and large‑scale platforms
- Experience in development of AI/ML models and applications using industry standard frameworks (e.g., scikit‑learn, Tensorflow, PyTorch)
- Deep understanding of artificial intelligence and machine learning technologies, particularly generative AI
- Proven track record in strategic planning, policy development, and large‑scale technology implementation
- Experience with acquisition processes and requirements development
- Deep understanding of artificial intelligence and machine learning technologies, particularly generative AI
- Use of cloud‑based environments (AWS, Azure, GPC) to develop and deploy AI/ML solutions
- Knowledge of enterprise IT infrastructure and cloud computing environments
- Familiarity with software development life cycles and technology integration challenges
- Exceptional ability to build consensus…
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