AI Led Forward Deployed Engineer | Design & Digital Products

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 (https://www.accenture.com/us-en/careers/local/benefits)

Role Location Annual Salary RangeCalifornia $70,350 to $205,800Cleveland $59,100 to $164,600Colorado $63,800 to $177,800District of Columbia $68,000 to $189,300Illinois $59,100 to $177,800Maine $54,400 to $151,400Maryland $63,800 to $177,800Massachusetts $63,800 to $189,300Minnesota $63,800 to $177,800New York $66,300 to $205,800New Jersey $68,000 to $205,800Virginia $59,100 to $189,300Washington $80,200 to $189,300

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