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Accenture

Advises businesses and runs their technology

Forward Deployed AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeUnited States

About the Job

Requirements

  • A minimum of 8 years of engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless architectures.
  • A minimum of 1 year of experience designing and deploying agentic solutions, including agents, orchestration, context engineering, retrieval-augmented generation, and workflows, in production environments.
  • A minimum of 3 years of deep expertise with AI platforms such as OpenAI, Claude, Vertex AI, or open-source models, including building abstraction layers for multi-provider pipelines.
  • A minimum of 8 years of experience leading software engineering teams, including delivery oversight, resource allocation, and professional development of direct reports.
  • A bachelor's degree or equivalent (minimum 12 years) of work experience. Associate degree holders must have a minimum of 6 years of work experience.

Responsibilities

  • Lead enterprise AI platform deployments across complex multi-stakeholder client environments using platforms such as Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir, owning the full programme from architecture through adoption, including Sourcing & Procurement platforms such as SAP Ariba, Coupa, Ivalua, or Jaggaer.
  • Own programme-level delivery outcomes, including time-to-value, reliability, adoption velocity, and scalability across multiple concurrent workstreams, with commercial metrics attached.
  • Lead rapid experimentation, driving ambiguous business problems to working production systems in days or weeks across complex enterprise environments.
  • Architect and govern enterprise AI solutions across the full technology stack, including identity, data, security, governance, platform layer, and multi-system workflow integration at programme scale.
  • Shape AI reinvention strategy for client CTOs, CFOs, and CISOs by building value architecture, ROI backlogs, use case prioritisation frameworks, and multi-year AI adoption roadmaps; engage CPOs and Chief Procurement Officers on AI-enabled procurement transformation strategies, connecting cost-out objectives to scalable AI architectures.
  • Define and publish reusable reinvention blueprints, patterns, and accelerators that scale across multiple client engagements and grow the Forward Deployed Engineering practice.
  • Lead architecture design sessions, executive workshops, and code-with sessions with client engineering and C-suite leadership teams.
  • Codify delivery learnings, failure patterns, and engineering standards that shape the Forward Deployed Engineering practice and enable the next generation of forward deployed engineers.
  • Design and deploy AI-powered procurement solutions, including autonomous sourcing agents, intelligent supplier risk monitoring, predictive spend analytics, and contract lifecycle automation within enterprise environments.
  • Translate Sourcing & Procurement functional requirements, including strategic sourcing, category management, procure-to-pay, and supplier performance, into scalable AI architectures and production-ready agentic workflows.
  • Travel as required for the role; travel may vary up to 75%.

Desired Qualifications

  • Demonstrated end-to-end delivery ownership in a client-embedded environment.
  • Experience leading enterprise AI deployments across multi-stakeholder environments.
  • Experience managing and developing engineering teams, including performance management and development planning.
  • Experience working with enterprise AI platforms such as Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir.
  • Experience defining enterprise AI architecture across identity, data, security, governance, and multi-system integrations.
  • Experience working directly with senior stakeholders, including CTOs, CFOs, and CISOs, on AI strategy and investment decisions.
  • Experience leading executive workshops, architecture design sessions, or cross-functional technical engagements.
  • Experience working within or deploying AI solutions for Sourcing & Procurement functions, including familiarity with strategic sourcing, category management, procure-to-pay processes, or supplier management platforms.
  • Familiarity with Sourcing & Procurement technology ecosystems such as SAP Ariba, Coupa, Ivalua, Jaggaer, or equivalent, and with data and integration patterns common to procurement environments.
  • Experience in the High Tech industry, including semiconductors, software, hardware, or electronics manufacturing, with an understanding of complex global supply chains, component sourcing, contract manufacturing, and the speed-to-market pressures unique to High Tech procurement and supply chain environments.

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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