Senior AI Deployment & Enterprise Strategy Leader

Accenture; Nashville (TN); On-site; USD 150,000 - 230,000; Full time

Job summary

Accenture seeks a Forward Deployed AI Engineer to embed with enterprise teams, delivering production AI platforms and scalable agent-based workflows. You will own time-to-value, adoption, reliability, and multi-stream execution across complex environments, including collaboration with C-suite leaders to define value and governance.

Travel may be required; you will work with premier AI platforms and cloud-native tech to translate pilots into enterprise capability.

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 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

APIs

microservices

containerization

serverless

agentic solutions

OpenAI

Claude

Vertex AI

Python

Java

CI/CD

Terraform

Helm

client communication

Education

Bachelor's degree in Computer Science, Engineering, or equivalent

Tools

Terraform

Helm

Job description

Accenture seeks a Forward Deployed AI Engineer to embed with enterprise teams, delivering production AI platforms and scalable agent-based workflows. You will own time-to-value, adoption, reliability, and multi-stream execution across complex environments, including collaboration with C-suite leaders to define value and governance.

Travel may be required; you will work with premier AI platforms and cloud-native tech to translate pilots into enterprise capability.