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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 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

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document-4/Accenture-Equal-Opportunity-Statement.pdf#zoom=50)

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

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AI Led Forward Deployed Engineer | Design & Digital Products