Senior AI Deployment Engineer - Sourcing and Procurement

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

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) plan

Paid holidays

Paid time off

Job summary

Accenture is seeking a Forward Deployed AI Engineer within the Sourcing & Procurement practice. This role embeds in a client environment to deploy AI platforms, drive adoption, and deliver measurable business value across procurement, supplier risk, and spend analytics.

You will own architecture, lead multi-team delivery, and shape AI strategies with C-suite stakeholders while ensuring scalable, production-ready solutions across platforms and ecosystems.

Qualifications

• Minimum 8 years of engineering experience with cloud-native systems, APIs, microservices, containerization, and serverless architectures.
• Minimum of 1 year of experience 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 8 years of experience leading software engineering teams, including delivery oversight, resource allocation, and professional development of direct reports.
• Bachelor's degree or equivalent work experience (minimum 12 years; if associate degree, minimum 6 years).

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

AI platforms

OpenAI

Anthropic

Team leadership

Enterprise AI

Data governance

Education

Bachelor's degree or equivalent

Tools

SAP Ariba

Coupa

Ivalua

Jaggaer

Anthropic

OpenAI

Job description

Accenture is seeking a Forward Deployed AI Engineer within the Sourcing & Procurement practice. This role embeds in a client environment to deploy AI platforms, drive adoption, and deliver measurable business value across procurement, supplier risk, and spend analytics.

You will own architecture, lead multi-team delivery, and shape AI strategies with C-suite stakeholders while ensuring scalable, production-ready solutions across platforms and ecosystems.