Sourcing & Procurement Data AI Senior Manager

Salary: $112,900 - 338,300 per year Requirements: We need at least 8 years of engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless architectures. We need at least 1 year of experience designing and deploying agentic solutions in production, including agents, orchestration, context engineering, RAG, and workflows. We need at least 3 years of deep experience with AI platforms such as OpenAI, Claude, Vertex AI, or open-source models, including abstraction layers for multi-provider pipelines. We need at least 8 years of experience leading software engineering teams, including delivery oversight, resource allocation, and the development of direct reports. We need a bachelors degree or equivalent experience: a minimum of 12 years of work experience, or for an associate degree, at least 6 years of work experience. Travel is required, and it may be up to 75%. Bonus experience includes end-to-end delivery ownership in a client-embedded environment. Bonus experience includes leading enterprise AI deployments across multi-stakeholder environments. Bonus experience includes managing and developing engineering teams, including performance management and development planning. Bonus experience includes working with enterprise AI platforms such as Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir. Bonus experience includes defining enterprise AI architecture across identity, data, security, governance, and multi-system integrations. Bonus experience includes working directly with senior stakeholders such as CTOs, CFOs, and CISOs on AI strategy and investment decisions. Bonus experience includes leading executive workshops, architecture design sessions, or cross-functional technical engagements. Bonus experience includes working within or deploying AI solutions for Sourcing & Procurement functions, including strategic sourcing, category management, procure-to-pay processes, or supplier management platforms. Bonus experience includes familiarity with S&P technology ecosystems such as SAP Ariba, Coupa, Ivalua, Jaggaer, or equivalent procurement systems. Bonus experience includes work in the High Tech industry, including semiconductors, software, hardware, or electronics manufacturing, with knowledge of global supply chains, component sourcing, contract manufacturing, and speed-to-market pressures. Responsibilities: We lead enterprise AI platform deployments across complex, multi-stakeholder client environments, including platforms such as Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir, as well as Sourcing & Procurement tools like SAP Ariba, Coupa, Ivalua, or Jaggaer. We own programme-level outcomes such as time-to-value, reliability, adoption speed, scalability, and related commercial metrics across multiple concurrent workstreams. We drive rapid experimentation and turn ambiguous business problems into working production systems in days or weeks. We design and govern enterprise AI solutions across the full technology stack, including identity, data, security, governance, platform layers, and multi-system workflow integration. We shape AI reinvention strategy for client CTOs, CFOs, CISOs, and CPOs by building value architecture, ROI backlogs, use case prioritisation frameworks, and multi-year adoption roadmaps. We create reusable reinvention blueprints, patterns, and accelerators that can be scaled across engagements and help grow the FDE practice. We lead architecture design sessions, executive workshops, and code-with sessions with client engineering and senior leadership teams. We capture delivery insights, failure patterns, and engineering standards that strengthen the FDE practice and support future forward deployed engineers. We design and deploy AI-powered procurement solutions such as autonomous sourcing agents, intelligent supplier risk monitoring, predictive spend analytics, and contract lifecycle automation. We translate Sourcing & Procurement requirements into scalable AI architectures and production-ready agentic workflows. Technologies: AI Cloud Embedded Hardware Support RAG SAP Salesforce Security Serverless microservices Architect CTO More: Accenture is collaborating with hackajob to find exceptional professionals for this opportunity. We are a global professional services company focused on helping leading enterprises reinvent through digital core transformation and the safe adoption of AI. Our Sourcing & Procurement team works quickly and ambitiously, helping clients drive major improvements in cost reduction, strategic category management, and procurement operations. This Forward Deployed AI Engineer role is embedded within client enterprises, where we focus on outcomes such as adoption, reliability, scalability, and time-to-value rather than consulting or project delivery milestones. We offer a market-competitive benefits package that includes medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. The role is open across several U.S. locations with salary ranges that vary by state, and travel may be required up to 75%. last updated 40 week of 2026