Senior AI Platform Deployment Leader

Accenture

Chicago (IL)

On-site

USD 123,000 - 316,000

Full time

7 hours ago
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Benefits offered by this job

Health insurance
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

Job summary

Accenture is hiring Forward Deployed AI Engineers to act as production engineers embedded with enterprise client teams, delivering scalable AI platforms and measurable business value. You will own time-to-value, adoption, reliability, and cross-team collaboration in fast-paced environments.

The role involves architecting, deploying, and governing AI solutions with a focus on cloud-native stacks, multi-provider pipelines, and executive engagement.

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 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 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.
  • Lead rapid experimentation to translate business problems into production systems in days or weeks.
  • Architect and govern enterprise AI solutions across the full technology stack and multi-system workflow integration at program scale.
  • Shape AI reinvention strategy for client leadership with ROI backlogs and multi-year 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.

Skills

Cloud-native systems
Agentic solutions
AI platforms
Python/Java
CI/CD
Client communication
Lead technical workshops

Education

Bachelor's degree or equivalent
AI certifications

Tools

Kubernetes
Terraform
Helm

Job description

Accenture is hiring Forward Deployed AI Engineers to act as production engineers embedded with enterprise client teams, delivering scalable AI platforms and measurable business value. You will own time-to-value, adoption, reliability, and cross-team collaboration in fast-paced environments.

The role involves architecting, deploying, and governing AI solutions with a focus on cloud-native stacks, multi-provider pipelines, and executive engagement.

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