Senior AI-Native Engineering Leader, Enterprise Deployments

Accenture; San Francisco (CA); On-site; USD 133,000 - 366,000; Full time

Job summary

Accenture seeks Forward Deployed AI Engineers to embed with enterprise teams, delivering production-grade AI platforms and agentic workflows. You will own outcomes—time-to-value, reliability, adoption—across multi-stakeholder programs and across the full technology stack, shaping AI reinvention roadmaps for CTOs/CFOs/CISOs.

You will drive rapid experiments, architect scalable solutions, and publish reusable blueprints while collaborating with executive teams and engineers in a dynamic, global

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 APIs

Agentic AI

AI platforms

Python

Java

CI/CD

IaC

Stakeholder comms

Education

Bachelor's degree in CS/Engineering

Tools

Terraform

Helm

Job description

Accenture seeks Forward Deployed AI Engineers to embed with enterprise teams, delivering production-grade AI platforms and agentic workflows. You will own outcomes—time-to-value, reliability, adoption—across multi-stakeholder programs and across the full technology stack, shaping AI reinvention roadmaps for CTOs/CFOs/CISOs.

You will drive rapid experiments, architect scalable solutions, and publish reusable blueprints while collaborating with executive teams and engineers in a dynamic, global