Senior AI-Driven Sourcing & Procurement Platform Lead

Accenture; Atlanta (GA); On-site; USD 150,000 - 210,000; Full time

Job summary

Accenture is seeking a Forward Deployed AI Engineer within its Sourcing & Procurement practice to deploy AI platforms inside client environments. You will own outcomes such as time-to-value, adoption, reliability, and scalability across multiple workstreams.

The role requires extensive engineering leadership, cloud-native experience, and hands-on work with AI platforms to translate procurement requirements into production-ready AI architectures across major enterprise ecosystems.

Qualifications

• Minimum 8 years of engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless architectures.
• Minimum of 1 year of designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• Minimum of 3 years of deep expertise with AI platforms (OpenAI, Claude, Vertex AI, or open-source models), including building abstraction layers for multi-provider pipelines.
• Minimum of 8 years of experience leading software engineering teams, including delivery oversight, resource allocation, and professional development of direct reports.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If associate degree, must have a minimum of 6 years’ work experience)

Responsibilities

• Lead enterprise AI platform deployments across complex multi-stakeholder client environments— Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir— owning the full programme from architecture through adoption, including Sourcing & Procurement platforms such as SAP Ariba, Coupa, Ivalua, or Jaggaer
• Own programme-level delivery outcomes: time-to-value, reliability, adoption velocity, and scalability across multiple concurrent workstreams, with commercial metrics attached
• Lead rapid experimentation at pace: drive ambiguous business problems to working production systems in days or weeks across complex enterprise environments
• Architect and govern enterprise AI solutions across the full technology stack: identity, data, security, governance, platform layer, and multi-system workflow integration at programme scale
• Shape AI reinvention strategy for client CTO, CFO, and CISO: build value architecture, ROI backlogs, use case prioritisation frameworks, and multi-year AI adoption roadmaps; engage CPOs and Chief Procurement Officers on AI-enabled procurement transformation strategies, connecting cost-out objectives to scalable AI architectures
• Define and publish reusable reinvention blueprints, patterns, and accelerators that scale across multiple client engagements and grow the FDE practice
• Lead architecture design sessions, executive workshops, and code-with sessions with client engineering and C-suite leadership teams
• Codify delivery learnings, failure patterns, and engineering standards that shape the FDE practice and enable the next generation of forward deployed engineers
• Design and deploy AI-powered procurement solutions including autonomous sourcing agents, intelligent supplier risk monitoring, predictive spend analytics, and contract lifecycle automation within enterprise environments
• Translate S&P functional requirements — strategic sourcing, category management, procure-to-pay, supplier performance — into scalable AI architectures and production-ready agentic workflows

Skills

Cloud-native systems

APIs

Microservices

Containerization

Serverless architectures

Agentic solutions

AI platforms

Team leadership

Education

Bachelor's degree or equivalent work experience

Job description

Accenture is seeking a Forward Deployed AI Engineer within its Sourcing & Procurement practice to deploy AI platforms inside client environments. You will own outcomes such as time-to-value, adoption, reliability, and scalability across multiple workstreams.

The role requires extensive engineering leadership, cloud-native experience, and hands-on work with AI platforms to translate procurement requirements into production-ready AI architectures across major enterprise ecosystems.