Senior AI-Native Software Engineering Leader

Accenture; Morristown (NJ); On-site; USD 141,000 - 366,000; Full time

Job summary

Accenture is seeking Forward Deployed AI Engineers to embed within client enterprises and drive AI platform deployments from architecture through adoption. You will own outcomes like time-to-value, reliability, and scalability while leading cross-functional workshops with C-suite leadership.

A strong background in cloud-native systems and AI platforms is required, with travel as needed. The role emphasizes production readiness, multi-provider pipelines, and shaping AI reinvention roadmaps for

Qualifications

• Minimum of 10 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum of 1 year 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 systems

Agentic solutions

AI platforms

Python/Java programming

Production deployment

Client communication

Education

Bachelor's degree in Computer Science or Engineering

12 years work experience in lieu of degree

Tools

OpenAI

Anthropic

Vertex AI

Terraform

Helm

Job description

Accenture is seeking Forward Deployed AI Engineers to embed within client enterprises and drive AI platform deployments from architecture through adoption. You will own outcomes like time-to-value, reliability, and scalability while leading cross-functional workshops with C-suite leadership.

A strong background in cloud-native systems and AI platforms is required, with travel as needed. The role emphasizes production readiness, multi-provider pipelines, and shaping AI reinvention roadmaps for