Inactive
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Accenture

Advises businesses and runs their technology

Senior Forward Deployed Engineer

AI Application EngineeringPosted on Jun 15
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Engineering, or a related field is required.
  • At least 10 years of experience in software engineering, solutions architecture, or technical consulting is required.
  • At least 3 years of experience delivering AI/ML or LLM-based solutions in production is required.
  • A proven track record of leading complex, customer-facing technical engagements is required.
  • Write production-quality code and have expert-level proficiency in at least one programming language, with the ability to learn others as needed.
  • Have deep understanding of distributed systems and API design to identify architectural risk, and experience with incidents, observability, and CI/CD practices.
  • Have production experience with Claude, GPT, and Gemini and understand model trade-offs including cost, latency, context limits, reasoning quality, and failure modes.
  • Have prompt engineering skills beyond the basics, experience building RAG pipelines for messy real-world data, experience with agentic frameworks and MCP, and knowledge of vector database selection and chunking strategy.
  • Have strong experience with at least one major cloud platform, such as AWS, Azure, or GCP, and understand how enterprise infrastructure constraints affect deployment.
  • Have production experience with containerisation and orchestration.
  • Be comfortable working across data platforms such as Snowflake, BigQuery, Databricks, or bespoke platforms, and integrating LLMs with complex data environments.

Responsibilities

  • Own the technical relationship with enterprise clients from initial discovery through production, including C-suite engagement and long-term roadmap influence.
  • Run workshops to identify and prioritise high-value AI use cases and translate business problems into concrete engineering plans.
  • Architect and ship enterprise-grade AI systems, selecting tools such as Claude, GPT, or Gemini for the problem rather than defaulting to one stack.
  • Design pipelines and agentic workflows that meet enterprise requirements for security, scalability, cost efficiency, reliability, and production load.
  • Integrate LLMs with complex enterprise data environments, including cloud platforms and data warehouses.
  • Set technical direction on engagements and make decisions about architecture, tooling, and trade-offs.
  • Mentor engineers on both sides of the client relationship and raise the standard of the team.
  • Lead incident resolution and complex troubleshooting.
  • Define evaluation frameworks to assess model quality, safety, and business impact.
  • Implement LLMOps practices, including monitoring, observability, and drift detection in production environments.
  • Ensure every deployment meets enterprise security and compliance requirements from day one.

Desired Qualifications

  • Experience deploying AI solutions in regulated industries such as finance, healthcare, or government.
  • Familiarity with responsible AI and model risk management frameworks.
  • Contributions to open-source projects or technical publications.
  • Experience with evaluation and observability tools such as LangSmith, Promptfoo, or Weights & Biases.
  • Prior experience in a startup or high-growth technology environment.

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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