Senior AI-Native Software Engineering Leader

Accenture; Nashville (TN); On-site; USD 120,000 - 260,000; Full time

Benefits offered by this job

Travel opportunities

Job summary

Accenture seeks Forward Deployed AI Engineers to embed with enterprise clients, delivering production-grade AI platforms that scale across organizations. You will own outcomes like time-to-value, reliability, and adoption while shaping the playbook for AI-native workflows.

The role emphasizes hands-on architecture, rapid experimentation, and cross-functional collaboration with CTO/CFO/CISO stakeholders to drive measurable business value. Travel may be required.

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 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.
• 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, owning the full program from architecture through adoption.
• Own program-level delivery outcomes, time-to-value, reliability, adoption velocity, and scalability across multiple workstreams with commercial metrics.
• Lead rapid experimentation at pace to production systems across complex enterprise environments.
• Architect and govern enterprise AI solutions across identity, data, security, governance, and multi-system workflow integration at program scale.
• Shape AI reinvention strategy for client executives, building value architectures and AI adoption roadmaps.
• Define and publish reusable reinvention blueprints and accelerators that scale across client engagements.
• Lead architecture design sessions, executive workshops, and code-with sessions with client teams.
• Codify delivery learnings and engineering standards to evolve the FDE practice.

Skills

Cloud-native systems

Agentic AI design

Python/Java programming

Production deployment

Client communication

Education

Bachelor's degree in CS/Engineering

AI certifications or agentic tools

Tools

OpenAI

Anthropic

Vertex AI

Terraform

Helm

Kubernetes

Job description

Accenture seeks Forward Deployed AI Engineers to embed with enterprise clients, delivering production-grade AI platforms that scale across organizations. You will own outcomes like time-to-value, reliability, and adoption while shaping the playbook for AI-native workflows.

The role emphasizes hands-on architecture, rapid experimentation, and cross-functional collaboration with CTO/CFO/CISO stakeholders to drive measurable business value. Travel may be required.