Senior AI-Powered Sourcing & Procurement Manager

1000 Accenture LLP Company; Atlanta (GA); On-site; USD 150,000 - 260,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) plan

Bonus opportunities

Paid holidays

Job summary

Accenture is seeking a Forward Deployed AI Engineer to embed with client teams and scale AI platforms across industries. You will own outcomes such as time-to-value, adoption, reliability, and scalability, translating platform capabilities into measurable business value in real enterprise environments.

Senior engineers will lead architecture design, create reusable reinvention blueprints, and drive multi-stakeholder collaboration including CTO/CFO/CISO stakeholders. Travel up to 75% is required.

Qualifications

• Minimum 8 years of engineering experience with cloud-native systems including APIs, microservices, containerization, and serverless architectures.
• Minimum of 1 year of experience designing and deploying agentic solutions in production environments.
• Minimum of 3 years of deep expertise with AI platforms such as OpenAI, Claude, Vertex AI, or open-source models.
• Minimum of 8 years of experience leading software engineering teams and delivering outcomes.

Responsibilities

• Lead enterprise AI platform deployments across complex client environments, owning the full programme from architecture through adoption.
• Own programme-level delivery outcomes: time-to-value, reliability, adoption velocity, and scalability.
• Architect and govern enterprise AI solutions across identity, data, security, governance, and multi-system integrations.
• Shape AI reinvention strategy for client executives and connect cost-out objectives to scalable architectures.

Skills

Cloud-native systems

Agentic AI solutions

AI platforms

Engineering leadership

Education

Bachelor's degree or equivalent

Tools

OpenAI

Anthropic

Vertex AI

SAP Ariba

Coupa

Ivalua

Jaggaer

Job description

Accenture is seeking a Forward Deployed AI Engineer to embed with client teams and scale AI platforms across industries. You will own outcomes such as time-to-value, adoption, reliability, and scalability, translating platform capabilities into measurable business value in real enterprise environments.

Senior engineers will lead architecture design, create reusable reinvention blueprints, and drive multi-stakeholder collaboration including CTO/CFO/CISO stakeholders. Travel up to 75% is required.