AI-Driven Sourcing & Procurement Leader

Accenture; Cincinnati (OH); On-site; USD 123,000 - 271,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life insurance

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a Forward Deployed AI Engineer to embed with client teams and make AI platforms work in real-world environments. You will own outcomes such as time-to-value, adoption, reliability, and scalability across multi-stakeholder settings.

The role requires 8+ years in engineering, cloud-native architectures, and leadership of engineering teams, with hands-on experience in AI platforms and production readiness. Travel may be required.

Qualifications

• 8+ years of engineering experience with cloud-native systems.
• 1+ year designing and deploying agentic solutions in production environments.
• 3+ years of deep expertise with AI platforms (OpenAI, Claude, Vertex AI, or open-source models).
• 8+ years of experience leading software engineering teams, including delivery oversight.

Responsibilities

• Lead enterprise AI platform deployments across complex client environments.
• Own programme-level delivery outcomes: time-to-value, reliability, adoption velocity, scalability.
• Lead rapid experimentation at pace to production systems in days/weeks.
• Architect and govern enterprise AI solutions across the full technology stack.
• Shape AI reinvention strategy for client leadership and connect cost-out objectives to scalable AI architectures.

Education

Bachelor's degree or equivalent (minimum 12 years) work experience

Tools

Cloud-native systems

APIs

Microservices

Containerization

Serverless

AI platforms

Job description

Accenture is seeking a Forward Deployed AI Engineer to embed with client teams and make AI platforms work in real-world environments. You will own outcomes such as time-to-value, adoption, reliability, and scalability across multi-stakeholder settings.

The role requires 8+ years in engineering, cloud-native architectures, and leadership of engineering teams, with hands-on experience in AI platforms and production readiness. Travel may be required.