You are:

As an AI led FDE , you embed with design & product teams to originate, design, and ship AI-powered digital products and experiences into production. You will build on top of enterprise data and technology foundations to create AI-powered products that face customers, employees, and business users, driving revenue, engagement, and better decisions

The work:

• Identify where AI creates measurable business value before a brief exists. Originate use cases, prioritize by impact, and shape the engagement.
• Differentiate through a product-led approach. Pair AI & data depth with product strategy and product thinking, so the work ladders to a real product and its outcomes, not a proof of concept.
• Bring fluency in the design-to-product pipeline. Move from insight and concept through design, prototype, and production the way Design & Digital Products builds, connecting strategy directly to what ships.
• Design and build AI systems end to end: RAG architecture, agentic orchestration, prompt & context engineering, evals & guardrails, tool-use patterns, and MCP integration.
• Select the right model and approach: frontier-model selection, and when to apply fine-tuning (LoRA / PEFT) vs. prompt engineering vs. RAG, exercising judgment over execution across cost, latency, accuracy, and compliance tradeoffs.
• Activate AI within the client's existing enterprise data platforms. Connect AI products to where the data lives using data-gravity patterns rather than re-architecting infrastructure.
• Build AI-powered digital products and experiences full-stack, with production accountability. Ship working code, not recommendations.
• Deploy responsibly to production: MLOps, model serving, security, and cost / latency discipline at product level, with effective monitoring.
• Codify best-practice delivery patterns and feed field learnings back into the offering to make delivery repeatable.

Basic Required Qualifications:

• Minimum 3 years of AI & Data experience, including solutioning, designing, or delivering AI & Data projects, with hands-on work shipping GenAI features (RAG, agentic workflows, evals and guardrails), not strategy decks alone.
• Minimum 3 years of high-value consulting experience, including large-scale delivery with minimal oversight and proven ability to lead workstreams and meet deadlines, or relevant industry / functional experience.

Prefered Qualificaitions:

• Hands-on delivery experience on at least one enterprise AI platform in production: AWS Bedrock, Google Vertex AI, Azure AI Foundry, or Databricks Mosaic AI.
• Working fluency with GenAI frameworks and patterns: LangChain or LlamaIndex, agentic orchestration (CrewAI / AutoGen), MCP, prompt and context engineering, and model selection across frontier and open-weight models (Claude, Gemini, GPT, Llama, Mistral).
• Model judgment: knows when to apply fine-tuning (LoRA / PEFT) vs. prompt engineering vs. RAG, and can reason about cost, latency, accuracy, and compliance tradeoffs.
• Product engineering ability: full-stack build of AI-powered digital products, ships working code, and can activate AI against existing enterprise data using data-gravity patterns rather than re-architecting infrastructure.
• Product-led mindset: connects AI & data work to product strategy and the design-to-product pipeline, and can originate use cases and shape an engagement before a brief exists.
• Experience managing senior stakeholders.
• Strong program management and verbal and written communication skills.
• Driven and entrepreneurial: ability to originate and shape new deals and lead go-to-market activities.
• Excellent leadership and people skills: proven ability to build effective teams, foster collaboration and inclusion, and build strong relationships with stakeholders / clients.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted until 10/27/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $70,350 to $235,100

Colorado $63,800 to $203,100

Connecticut $63,800 to $203,100

District of Columbia $68,000 to $216,300

Illinois $59,100 to $203,100

Maine $54,400 to $173,100

Maryland $63,800 to $203,100

Massachusetts $63,800 to $216,300

Minnesota $63,800 to $203,100

New York $66,300 to $235,100

New Jersey $68,000 to $235,100

Ohio $59,100 to $188,100

Virginia $59,100 to $216,300

Washington $80,200 to $216,300