Senior AI-Native Engineering Lead – Production & Scale

Accenture; Chicago (IL); On-site; USD 123,000 - 316,000; Full time

Job summary

Accenture is seeking Forward Deployed AI Engineers to join our Reinvention Deployment Engineering pods in Chicago. You will embed with client teams, transform AI pilots into scalable production platforms, and own outcomes such as time-to-value, reliability, and adoption.

You will design and deploy agentic AI solutions across the tech stack, lead architecture sessions with C-suite stakeholders, and codify reusable blueprints for enterprise AI. Travel may be required as needed.

Qualifications

• Minimum 10 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum 1 year of deep expertise in designing and deploying agentic solutions in production environments.
• Minimum 2 years of experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models.
• Minimum 10 years of experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Minimum 10 years of experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• Minimum 10 years of experience in client communication and collaboration, including leading technical workshops 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 from architecture through adoption.
• Own program-level delivery outcomes: time-to-value, reliability, adoption velocity, and scalability across multiple workstreams.
• Lead rapid experimentation to move from ambiguous problems to production systems in days or weeks.
• Architect and govern enterprise AI solutions across identity, data, security, governance, platform layer, and multi-system workflows.
• Shape AI reinvention strategy for client leadership: build 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 leadership teams.

Skills

Cloud-native systems

Agentic solutions

AI platforms

Python/Java

Client workshops

Education

Bachelor's degree in Computer Science or Engineering or 12+ years experience

Tools

Terraform

Helm

OpenAI

Claude

Vertex AI

Job description

Accenture is seeking Forward Deployed AI Engineers to join our Reinvention Deployment Engineering pods in Chicago. You will embed with client teams, transform AI pilots into scalable production platforms, and own outcomes such as time-to-value, reliability, and adoption.

You will design and deploy agentic AI solutions across the tech stack, lead architecture sessions with C-suite stakeholders, and codify reusable blueprints for enterprise AI. Travel may be required as needed.