Senior AI Platform Deployment Lead

Accenture; Arlington, Northern (VA, KY); Hybrid; USD 123,000 - 337,000; Full time

Job summary

Accenture is seeking Forward Deployed AI Engineers to embed with client teams and drive production AI platforms from architecture through adoption. You will own outcomes such as time-to-value, reliability, and scalability across multiple workstreams in complex enterprise settings.

You will lead rapid experimentation, design robust AI solutions, and shape reinvention strategies for CTO/CFO/CISO leadership, contributing to multi-year AI adoption roadmaps and reusable blueprints.

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 in production environments.
• 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, monitoring, and debugging.
• Minimum of 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. 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

Agentic design

Python/Java

Production deployment

AI platforms

Education

Bachelor's degree or equivalent

Tools

Terraform

Helm

Job description

Accenture is seeking Forward Deployed AI Engineers to embed with client teams and drive production AI platforms from architecture through adoption. You will own outcomes such as time-to-value, reliability, and scalability across multiple workstreams in complex enterprise settings.

You will lead rapid experimentation, design robust AI solutions, and shape reinvention strategies for CTO/CFO/CISO leadership, contributing to multi-year AI adoption roadmaps and reusable blueprints.