Hiring: AI Technical Product Manager (Strategy & Delivery) Company: Accenture Federal Services Location: Washington, DC Job Posted Time: 2026-09-17 04:28:14 Employment Type: Hybrid Target Skills & Keywords : AWS, Azure, Databricks, GCP, LLM, RAG, Snowflake, Zero Trust About the job Required Skills: •Product strategy, governance, and delivery not foundation model training. Your craft is turning the best models and platforms into safe, reliable, user‑loved experiences. •Translate mission goals into product KPIs (adoption, latency, reliability, safety, cost) build outcome‑based roadmaps and investment cases. •Convert ambiguous needs into prioritized user stories and release plans; run MVPs, A/B tests, and progressive delivery in regulated environments. •Operationalize policy‑as‑code, prompt version lifecycle, guardrails (filtering, citations), human‑in‑the‑loop flows, and audit trails aligned to federal standards. •Partner cross-functionally with architects to choose the right patterns (LLM, RAG, agents, analytics), data access models, and Zero Trust integrations across cloud/hybrid/on‑prem. •Stand up evaluation harnesses (helpfulness, safety, factuality), define SLIs/SLOs (quality, latency, cost), and drive incident/postmortem rigor to reduce MTTR. •Align business owners, CDO/CIO/CISO/legal/compliance; run decision forums; tell the story with clear value/risk frameworks. •Author playbooks, templates, and product operating models that scale across multiple mission teams; mentor PMs and cross‑functional leads. Qualifications: •Delivered AI and data powered products at enterprise scale, generating measurable business results and mission impact. •Backlog management, roadmap ownership, KPI definition, experimentation (MVPs/A/B), and iterative releases that improve time‑to‑value. •Practical experience embedding guardrails, privacy/security controls, and auditability into product delivery. •Comfortable partnering with engineering, data/AI, security/compliance, policy/operations •Able to reason about LLM orchestration, RAG/agents, data/platform architecture, and evaluation hands‑on enough to review designs and validate solutions. •Proven ability to turn strategy into production systems with measurable adoption and reliability. •U.S. Citizen (no dual citizenship) •Operational familiarity with platforms/services such as Azure, AWS, GCP, Databricks, Snowflake, Palantir, vector search, catalog/lineage tooling. •Exposure to LLM evaluation frameworks, prompt lifecycle management, policy‑based filtering, and agent workflows. •Contributions to product playbooks/standards or open‑source; executive‑level storytelling and proposal support. Compensation: •$114,000 - $221,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!