Senior SAP AI Architect

Tech Mahindra; Pune District; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Tech Mahindra seeks an visionary SAP AI Architect to lead strategy, design, and implementation of enterprise AI solutions, focusing on intelligent agents and digital assistants. You will anchor the AI transformation and ensure seamless integration with SAP S/4HANA and non-SAP systems.

Responsibilities include architecting multi-agent workflows, standardizing tool interactions with MCP, and governing AI lifecycles using SAP LeanIX AI Agent Hub.

Qualifications

• 8+ years in enterprise software architecture/engineering.
• 3+ years designing deploying Generative AI within SAP context.
• Bachelor's or Master's in Computer Science, Data Science or quantitative field.
• SAP BTP certifications or similar preferred.

Responsibilities

• Lead strategy, design, and implementation of SAP AI Architect solutions for enterprise AI transformation.
• Architect workflows integrating SAP S/4HANA, SAP SuccessFactors, and non-SAP systems.
• Define multi-agent and tool integration via MCP and A2A protocols.
• Govern AI lifecycle using SAP LeanIX AI Agent Hub and related SAP tooling.
• Build digital corporate assistants via Joule Studio in SAP Build and deploy on cloud platforms.
• Design visual workflows using drag-and-drop tools with low-code runtimes.
• Develop high-performance AI engines using SAP Cloud SDK (Python/Java/TypeScript).
• Orchestrate multi-agent memory, tool-calling with LangGraph/CrewAI.
• Deploy containerized microservices on Kyma or SAP BTP Cloud Foundry.

Skills

Python

TypeScript

Node.js

Java

Kubernetes

Docker

GenAI orchestration

Joule Studio

Education

Bachelor's or Master's in CS/DS

Tools

Joule Studio

SAP Build

SAP BTP

CAP Framework

SAP AI Core

LangGraph

CrewAI

Job description

We are seeking a visionary and hands-on SAP AI Architect to lead the strategy, design, and implementation of

next-generation Enterprise AI solutions. In this role, you will be the technical anchor for our AI transformation,

focusing heavily on building intelligent agents and digital assistants.

Key Responsibilities

• End-to-End Agentic AI: Design and deliver architectures that integrate seamlessly with SAP S/4HANA, SAP SuccessFactors, and non-SAP systems.
• Multi-Agent Systems: Architect workflows using foundational/advanced communication methodologies, ensuring interoperability via the Agent-to-Agent (A2A) protocol.
• Tool Integration: Standardize landscape interaction by implementing the Model Context Protocol (MCP) for secure internal and external tool interactions.
• AI Governance: Govern the lifecycle using the SAP LeanIX AI Agent Hub to discover, optimize, and manage enterprise-wide AI capabilities.
• Digital Assistants: Build, configure, and seamlessly register corporate digital assistants via Joule Studio in SAP Build.
• Visual Workflows: Utilize drag-and-drop interfaces to design complex business workflows, managed runtimes, and automated tasks without traditional code.
• Custom AI Engines: Develop high-performance AI engines using the SAP Cloud SDK for AI via Python, Java, or TypeScript.
• Advanced Orchestration: Orchestrate multi-agent behaviors, memory systems, and custom tool-calling using frameworks like LangGraph or CrewAI.
• Cloud Deployments: Deploy containerized custom AI microservices efficiently on cloud runtimes like Kyma or SAP BTP Cloud Foundry.

Data & Core Infrastructure Integration

• Model Orchestration: Leverage SAP AI Core and the Generative AI Hub to securely orchestrate, benchmark, and deploy large language models (LLMs).
• Enterprise RAG: Implement advanced retrieval mechanisms using Retrieval-Augmented Generation (RAG), capitalizing on the SAP HANA Cloud Vector Engine and Knowledge Graph Engines.

Required Technical Skills & Qualifications

Core SAP AI Stack

• SAP Platform: Hands-on mastery of SAP BTP (Cloud Foundry / Kyma), CAP Framework, and SAP Integration Suite.
• AI Control Plane: In-depth working experience with SAP AI Core, Generative AI Hub, AI Launchpad, and Joule.
• Low-Code Toolkit: Complete proficiency in Joule Studio and the SAP Build suite.
• Languages: Strong, production-grade programming skills in Python (required) along with Node.js/TypeScript or Java.
• Orchestration Libraries: Deep practical knowledge of GenAI orchestration frameworks (e.g., LangChain,
• Data Tiering: Expert knowledge of Vector Databases, semantic search, prompt engineering, and graph technologies.

Integration & DevOps

• APIs & Protocols: Mastery of OData, REST, Event-Driven Architectures, A2A protocols, and MCP (Model Context Protocol).
• Cloud Native: Familiarity with Kubernetes, Docker containerization, and enterprise CI/CD pipelines.

Experience & Education Requirements

• Overall IT Experience: Minimum of 8+ years in enterprise software architecture and engineering.
• AI/SAP Specific Experience: At least 3+ years of dedicated, hands-on experience designing and deploying Generative AI or Agentic AI systems, specifically within an SAP context.
• Education: Bachelor's or Master's degree in Computer Science, Data Science, or a heavily quantitative field.
• Certifications (Preferred): SAP BTP certifications, SAP AI specialized credentials, or formal cloud platform