Forward-Deployed AI Leader — Senior Manager

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

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Long-term disability

401(k)

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture seeks Forward Deployed AI Engineers to embed inside enterprise clients and scale AI-driven workflows. You will own outcomes from architecture through adoption, delivering measurable business value in real-world environments.

As part of the Reinvention Deployment Engineering pods, you will shape scalable AI platforms, lead executive workshops, and drive multi-year AI adoption roadmaps, navigating ambiguity to deliver production-ready results at scale.

Qualifications

• Minimum of 10 years engineering experience with cloud-native systems.
• Minimum of 1 year of deep expertise in designing and deploying agentic solutions in production.
• Minimum of 2 years of experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models.
• 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 leading technical workshops in ambiguity.
• Bachelor's degree in Computer Science, Engineering, or equivalent or (minimum 12 years) work experience; AI certifications or agentic tool experience is a plus.

Responsibilities

• Lead enterprise AI platform deployments across complex multi-stakeholder client environments and own the full program from architecture through adoption.
• Own program-level delivery outcomes: time-to-value, reliability, adoption velocity, and scalability across multiple workstreams.
• Lead rapid experimentation at pace to deliver working production systems within days or weeks.
• Architect and govern enterprise AI solutions across the full tech stack including identity, data, security, and governance.
• Shape AI reinvention strategy for client executives and build multi-year AI adoption roadmaps.
• Define and publish reusable reinvention blueprints, patterns, and accelerators across client engagements.
• Lead architecture design sessions, executive workshops, and code-with sessions with client teams.
• Codify delivery learnings and engineering standards to scale the FDE practice.

Skills

Cloud-native systems

Agentic solutions

AI platforms

Python/Java

Production deployment

Client collaboration

Bachelor's degree

Education

Bachelor's degree in CS/Engineering

AI certifications

Tools

Terraform

Helm

CI/CD tooling

Job description

Accenture seeks Forward Deployed AI Engineers to embed inside enterprise clients and scale AI-driven workflows. You will own outcomes from architecture through adoption, delivering measurable business value in real-world environments.

As part of the Reinvention Deployment Engineering pods, you will shape scalable AI platforms, lead executive workshops, and drive multi-year AI adoption roadmaps, navigating ambiguity to deliver production-ready results at scale.