AI Led Forward Deployed Engineer | Design & Digital Products

Accenture; Charlotte (NC); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life insurance

Long-term disability

401(k)

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture in Charlotte, NC is seeking an AI-led digital product architect to pair design, data, and GenAI capabilities into production-ready solutions for enterprise clients. You will originate use cases, prioritize impact, and lead end-to-end delivery from concept through production, ensuring responsible deployment with MLOps and governance.

Strong consulting experience, stakeholder leadership, and hands-on GenAI platform work across AWS Bedrock, Vertex AI, Azure AI, or Databricks Mosaic AI are

Qualifications

• Minimum 3 years of AI & Data experience, including solutioning, design, or delivery with GenAI features.
• Minimum 3 years of high-value consulting experience delivering large-scale projects.
• Experience managing senior stakeholders and leading go-to-market activities.

Responsibilities

• Originate AI use cases and shape engagements before briefs exist.
• Lead end-to-end AI product development, from design to production.
• Coordinate with client stakeholders and manage delivery milestones.
• Ensure responsible deployment with MLOps, security, and cost discipline.

Skills

AI & Data experience

Consulting experience

Program management

Stakeholder management

Verbal & written communication

Tools

LangChain

LlamaIndex

CrewAI

AutoGen

MCP

Job description

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, proto@type, 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.

• 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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