AI Solution Architect (Procurement Domain) Pune (On-site)

Dynpro; Pune District; Vor Ort; INR 4.000.000 - 6.000.000; Teilzeit

Zusammenfassung

Dynpro seeks an AI Solution Architect for Procurement Domain to lead on-site Pune delivery. The role emphasizes GenAI architecture, Azure OpenAI, SAP S/4HANA Sourcing & Procurement integration, and S2P/P2P process optimization. You will guide multi-year transformation projects from concept to production.

Ideal candidates have 12+ years IT experience, 4+ years in AI/ML production deployments and strong governance in line with GDPR and EU AI Act.

Qualifikationen

• GenAI patterns, LLMs, RAG, prompt engineering, guardrails, and evaluation.
• Azure OpenAI, Azure ML, AI Foundry, Azure data platform and related Azure AI services.
• SAP S/4HANA Sourcing & Procurement (MM) or equivalent procurement tools and integration architectures.
• Source-to-Pay (S2P) and Procure-to-Pay (P2P) domain expertise.
• MLOps/LLMOps including model monitoring, retraining and cost management.
• GDPR, EU AI Act and ethical AI governance.

Aufgaben

• Design and deliver AI-driven procurement transformation programmes from use-case to production.
• Architect end-to-end solutions integrating ERP, data lakes, APIs and event-driven patterns.
• Lead governance and compliance with data privacy and ethical AI guidelines.

Jobbeschreibung

Dear Candidate,

We are hiring an AI Solution Architect Procurement Domain for our client in Pune.

Location: Pune, Maharashtra (On-site at client office)
Employment Type: Contractual 1 Year

Mandatory Skills & Experience

• AI & Generative AI Architecture: Deep practical knowledge of GenAI patterns (LLMs, RAG, agentic AI, prompt engineering, guardrails, evaluation) and Classical ML (forecasting, classification, anomaly detection).
• Cloud & AI Services: Extensive experience architecting AI solutions on Microsoft Azure (Azure OpenAI / AI Foundry, Azure ML, AI Search, Document Intelligence, Azure data platform).
• ERP & Domain Integration: SAP S/4HANA Sourcing & Procurement (MM) or equivalent procurement tools, including integration architectures (APIs, data lakes, event-driven patterns).
• Procurement Process Expertise: Strong understanding of Source-to-Pay (S2P) and Procure-to-Pay (P2P) processes (tail spend analysis, inventory management, guided buying, sourcing, contract management, invoice processing).
• MLOps / LLMOps: Model monitoring, retraining, explainability, and cost management.
• Governance: Compliance with ethical AI guidelines, GDPR, and the EU AI Act.

Experience Required

• Total IT Experience: 12+ Years of experience in IT, consulting, or solution architecture.
• AI Experience: 4+ Years explicitly designing and deploying AI/ML solutions in production.
• Project Delivery: Proven delivery of at least two AI-led procurement transformation programmes from use-case definition through production deployment.