AI Solution Architect

Dynpro; Pune District; In loco; INR 3.800.000 - 7.000.000; Tempo pieno

Descrizione del lavoro

Dynpro in Hinjawadi, Pune is seeking an experienced AI Solution Architect to lead design and deployment of AI/ML in production for procurement transformation projects. You will define use-cases, shape architecture, and collaborate with business stakeholders to deliver impact.

The role requires deep Microsoft Azure AI expertise, SAP S/4HANA Sourcing & Procurement knowledge, and strong ability to translate technical trade-offs into business terms.

Competenze

• 12+ years of IT/consulting/solution architecture experience, including 4+ years designing and deploying AI/ML solutions in production.
• Proven delivery of at least two procurement transformation programmes in which AI was a core component, from use-case definition through production deployment.
• Strong understanding of Source-to-Pay and Procure-to-Pay processes: tail spend analysis, inventory management, guided buying, sourcing, contract management, supplier management, requisition-to-order and invoice processing.
• Good experience with SAP S/4HANA Sourcing & Procurement (MM) and/or equivalent procurement tools, including integration architectures (APIs, data lake, event-driven patterns).
• Broad view of the AI market (build vs. buy, in-house vs. SaaS, different technology stacks and tooling), with the judgement to tell what is mature and what is hype.
• Proven experience architecting AI solutions on Microsoft Azure: Azure OpenAI / AI Foundry, Azure ML, AI Search, Document Intelligence and the Azure data platform.
• Deep practical knowledge of Generative AI (LLMs, RAG, agentic workflows, prompt engineering, evaluation and guardrails) and classical ML (forecasting, classification, anomaly detection).
• Experience with MLOps / LLMOps: model monitoring, retraining, explainability and cost management.
• Excellent communication, collaboration and stakeholder management skills, with the ability to influence senior business stakeholders and translate technical trade-offs into business terms.
• Bachelor's or Master's degree in Computer Science, AI, Engineering or a related field.
• Advanced English proficiency, both written and spoken.

Conoscenze

AI solution architecture

Generative AI

MLOps

Stakeholder management

Communication

Formazione

Bachelor's or Master's degree in CS/AI/Engineering or related

Strumenti

Microsoft Azure AI

Azure ML

Azure OpenAI

Azure AI Foundry

Azure Data Platform

SAP S/4HANA Sourcing & Procurement

Descrizione del lavoro

Role: AI Solution Architect

Onsite: Hinjawadi, Pune

Fulltime

Mandatory Requirements

• 12+ years of experience in IT, consulting or solution architecture, including 4+ years designing and deploying AI/ML solutions in production.
• Proven delivery of at least two procurement transformation programmes in which AI was a core component, from use-case definition through production deployment.
• Strong understanding of Source-to-Pay and Procure-to-Pay processes: tail spend analysis, inventory management, guided buying, sourcing, contract management, supplier management, requisition-to-order and invoice processing.
• Good experience with SAP S/4HANA Sourcing & Procurement (MM) and/or equivalent procurement tools, including integration architectures (APIs, data lake, event-driven patterns).
• Broad view of the AI market (build vs. buy, in-house vs. SaaS, different technology stacks and tooling), with the judgement to tell what is mature and what is hype.
• Proven experience architecting AI solutions on Microsoft Azure: Azure OpenAI / AI Foundry, Azure ML, AI Search, Document Intelligence and the Azure data platform.
• Deep practical knowledge of Generative AI (LLMs, RAG, agentic workflows, prompt engineering, evaluation and guardrails) and classical ML (forecasting, classification, anomaly detection).
• Experience with MLOps / LLMOps: model monitoring, retraining, explainability and cost management.
• Excellent communication, collaboration and stakeholder management skills, with the ability to influence senior business stakeholders and translate technical trade-offs into business terms.
• Bachelor's or Master's degree in Computer Science, AI, Engineering or a related field.
• Advanced English proficiency, both written and spoken.

Must-Have Technical Skills

• AI solution architecture / Generative AI (LLMs, RAG, agentic AI)
• Microsoft Azure AI
• SAP S/4HANA Sourcing & Procurement
• Source-to-Pay and Procure-to-Pay processes
• At least 2 AI-led procurement transformation projects

Preferred Experience / Certifications

• Azure AI Engineer certification
• Azure Solutions Architect certification