AI Led Forward Deployed Engineer | Design & Digital Products
accentureCoatesville (PA)
AI Led Forward Deployed Engineer | Design & Digital Products
Posted today
accentureCoatesville (PA)
SENIORITY
Manager
About the role
Overview:
As an AI & Data expert, you will partner with design and product teams to ideate, design, and ship AI-powered digital products that leverage enterprise data. You’ll drive value through a product-led approach, bridging strategy to production, and delivering full-stack AI solutions with measurable impact. You’ll manage end-to-end delivery, from discovery to deployment, focusing on responsible, scalable, and cost-aware implementations. This role combines technical proficiency with leadership to shape new AI-driven offerings for clients. Compensation / Benefits medical, dental, vision life and long-term disability 401(k) plan bonus opportunities paid holidays paid time off
Responsibilities:
Identify high-value AI use cases aligned with business goals and shape engagement before briefs exist Lead end-to-end design and production of AI-powered products, including RAG architecture, agentic workflows, and guardrails Select models and approaches (frontier models, fine-tuning, prompt engineering, or RAG) balancing cost, latency, accuracy, and compliance Activate AI within clients’ enterprise data platforms using data-gravity patterns Ensure production readiness with MLOps, model serving, security, and cost/latency discipline at the product level Codify delivery best practices and feed learnings back into offerings to improve repeatability Coordinate with senior stakeholders and cross-functional teams to drive multi-month delivery programs Deliver working code and production-ready features, not just recommendations Originate use cases and shape engagements to align with product strategy and design-to-product pipeline
Key requirements:
Minimum 3 years of AI & Data experience with hands-on shipping GenAI features (RAG, agentic workflows, evals and guardrails) Minimum 3 years of high-value consulting experience with large-scale delivery and leadership of workstreams unambiguous evidence of production deployments on enterprise AI platforms (preferred) Experience with GenAI frameworks/patterns (LangChain, LlamaIndex, MCP, agentic orchestration) Strong product engineering ability to build AI-powered products end-to-end and activate AI against enterprise data Excellent stakeholder management, program management, and communication skills Entrepreneurial drive to originate deals and lead go-to-market activities Ability to balance cost, latency, accuracy, and compliance in model selection leadership stakeholder management communication LangChain LlamaIndex CrewAI
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