Role Overview
You'll lead (or contribute to) enterprise AI & data strategy for confidential federal programs shaping architecture, governance, and responsible AI so modern AI capabilities can be operated safely, audited confidently, and adopted at scale. This is a strategy + build + operate role: you'll partner with CXOs, CDO/CIO/CISO offices, legal/compliance, security, and product teams to define standards, implement controls, and accelerate mission outcomes. Not a model-training role. Your focus is production strategy, governance, and architecture making the best models and platforms usable, safe, and effective in real operations.
What You'll Do
- Translate mission goals into portfolio roadmaps, target architectures, and adoption plans; pick the right patterns (LLM, RAG, agents, analytics) for each use case.
- Define reference architectures (cloud/hybrid/on-prem), data access patterns, metadata/lineage, and integration points that respect Zero Trust and privacy constraints.
- Operationalize policy-as-code, approval workflows, audit trails, red-team & safety checks, and model/data lifecycle controls aligned to federal standards.
- Stand up evaluation harnesses (quality, safety, latency, cost), model selection criteria, and guardrails (prompt management, filtering, attribution/citations).
- Author playbooks, templates, SDKs, and governance blueprints that scale across multiple mission teams driving consistency and speed.
- Partner with product, security/compliance, data, and engineering to deliver outcomes; facilitate decision forums and executive storytelling with measurable KPIs.
- Ensure programs meet SLOs (reliability, latency, safety, cost), pass audits, and ship in weeks not quarters with progressive delivery in regulated environments.
- Contribute to proposals, briefings, and internal capability building; mentor teams on responsible AI and governed data practices.
Requirements
- Experience developing AI or data strategy or platform governance within government or multi stakeholder environments.
- Strong understanding of federal policies related to data, AI, privacy, cybersecurity, and digital modernization.
- Expertise in enterprise architecture concepts and AI governance frameworks.
- Ability to communicate complex technical concepts to non-technical audiences.
- Proven track record turning strategy into operational systems with measurable outcomes.
- Experience assessing AI readiness, risks, and ethical considerations.
- Must be a US Citizen
Nice to Have
- Experience in regulated/secure environments (audit-ready controls, ATO like processes, Zero Trust concepts).
- Exposure to LLM evaluation frameworks, RAG/agent patterns, prompt lifecycle management, and policy-based filtering.
- Familiarity with leading platforms/services like Azure/AWS/GCP, Databricks/Snowflake/Palantir, vector search, catalog/lineage tooling.
- Contributions to playbooks/standards or open-source; executive-level storytelling and proposal leadership.
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of
California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is:
$114,700-$221,100 USD
