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Accenture

Advises businesses and runs their technology

AI Led Forward Deployed Engineer - Design & Digital Products

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Minimum 3 years of AI and data experience, including solutioning, designing, or delivering AI and data projects, with hands-on work shipping generative AI features such as retrieval-augmented generation, agentic workflows, evaluations, and guardrails, rather than strategy decks alone.
  • Minimum 3 years of high-value consulting experience, including large-scale delivery with minimal oversight and a proven ability to lead workstreams and meet deadlines, or relevant industry or functional experience.

Responsibilities

  • 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 by pairing AI and data depth with product strategy and product thinking so the work contributes to a real product and its outcomes, not just a proof of concept.
  • Move through the design-to-product pipeline from insight and concept through design, prototype, and production, connecting strategy directly to what ships.
  • Design and build AI systems end to end, including retrieval-augmented generation architecture, agentic orchestration, prompt and context engineering, evaluations and guardrails, tool-use patterns, and Model Context Protocol integration.
  • Select appropriate models and approaches, including frontier-model selection and judgment about when to apply fine-tuning (LoRA or parameter-efficient fine-tuning), prompt engineering, or retrieval-augmented generation, balancing cost, latency, accuracy, and compliance.
  • Activate AI within clients’ existing enterprise data platforms and connect AI products to where data lives using data-gravity patterns rather than re-architecting infrastructure.
  • Build full-stack AI-powered digital products and experiences with production accountability, shipping working code rather than recommendations.
  • Deploy AI responsibly to production, including machine-learning operations, model serving, security, cost and latency discipline at product level, and effective monitoring.
  • Codify best-practice delivery patterns and feed field learnings back into the offering to make delivery repeatable.

Desired Qualifications

  • Hands-on delivery experience with at least one enterprise AI platform in production: AWS Bedrock, Google Vertex AI, Azure AI Foundry, or Databricks Mosaic AI.
  • Working fluency with generative AI frameworks and patterns, including LangChain or LlamaIndex, agentic orchestration with CrewAI or AutoGen, Model Context Protocol, prompt and context engineering, and model selection across frontier and open-weight models such as Claude, Gemini, GPT, Llama, and Mistral.
  • Knowledge of when to apply fine-tuning (LoRA or parameter-efficient fine-tuning), prompt engineering, or retrieval-augmented generation, and ability to reason about cost, latency, accuracy, and compliance tradeoffs.
  • Product engineering ability to build full-stack AI-powered digital products, ship working code, and activate AI against existing enterprise data using data-gravity patterns rather than re-architecting infrastructure.
  • A product-led mindset that connects AI and 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 skills.
  • Ability to originate and shape new deals and lead go-to-market activities.
  • Ability to build effective teams, foster collaboration and inclusion, and build strong relationships with stakeholders and clients.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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