AI-Native Engineering Leader: Senior Manager & Associate Director

Accenture; Walnut Creek (CA); On-site; USD 133,000 - 366,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) plan

Bonus opportunities

Job summary

Accenture is seeking Forward Deployed AI Engineers who will embed inside client enterprises to operationalize AI platforms and scale AI-native workflows. You will own time-to-value, adoption, reliability, and scalability across complex environments, working shoulder-to-shoulder with client teams to translate platform capability into measurable business outcomes.

You will lead architecture design and executive workshops, drive rapid production experiments, and define reusable blueprints that

Qualifications

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

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 experience

Python/Java programming

CI/CD & IaC

Client communication

Education

Bachelor's degree in Computer Science or Engineering

Tools

Terraform

Helm

Job description

Accenture is seeking Forward Deployed AI Engineers who will embed inside client enterprises to operationalize AI platforms and scale AI-native workflows. You will own time-to-value, adoption, reliability, and scalability across complex environments, working shoulder-to-shoulder with client teams to translate platform capability into measurable business outcomes.

You will lead architecture design and executive workshops, drive rapid production experiments, and define reusable blueprints that