Forward-Deployed AI Engineering Leader

Accenture; Denver (CO); On-site; USD 133,000 - 316,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a Forward Deployed AI Engineer to join our Reinvention Deployment Engineering pods. You will be embedded inside enterprise client teams, owning outcomes such as time-to-value, adoption, reliability, and scalability for AI platforms.

Travel may be required, and you will work across top technology providers to deploy production AI solutions in real-world environments. You’ll lead architecture design sessions and executive workshops, shaping value architectures, roadmaps, and

Qualifications

• Minimum of 10 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum of 1 years of deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• Minimum of 2 years of experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
• Minimum of 10 years of experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Minimum of 10 years of experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• Minimum of 10 years of experience in client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity.
• Bachelor's degree in Computer Science, Engineering, or equivalent or (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience), AI certifications or agentic tool experience is a plus.

Responsibilities

• Lead enterprise AI platform deployments across complex multi-stakeholder client environments — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — owning the full program from architecture through adoption
• Own program-level delivery outcomes: time-to-value, reliability, adoption velocity, and scalability across multiple concurrent workstreams, with commercial metrics attached
• Lead rapid experimentation at pace: drive 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: identity, data, security, governance, platform layer, and multi-system workflow integration at program scale
• Shape AI reinvention strategy for client CTO, CFO, and CISO: build value architecture, ROI backlogs, use case prioritization frameworks, and multi-year AI adoption roadmaps
• Define and publish reusable reinvention blueprints, patterns, and accelerators that scale across multiple client engagements and grow the FDE 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 FDE practice and enable the next generation of forward deployed engineers

Skills

Cloud-native systems

Agentic AI design

AI platforms (OpenAI, Claude, Vertex)

Python/Java programming

Production deployment (CI/CD, IaC)

Client communication

Lead technical workshops

Ambiguity handling

Education

Bachelor's degree in Computer Science or Engineering

AI certifications or agentic tooling experience

Tools

Terraform

Helm

OpenAI

Claude

Vertex AI

Kubernetes

Job description

Accenture is seeking a Forward Deployed AI Engineer to join our Reinvention Deployment Engineering pods. You will be embedded inside enterprise client teams, owning outcomes such as time-to-value, adoption, reliability, and scalability for AI platforms.

Travel may be required, and you will work across top technology providers to deploy production AI solutions in real-world environments. You’ll lead architecture design sessions and executive workshops, shaping value architectures, roadmaps, and