Senior AI Architect

Position - Senior Enterprise AI Architect GenAI, Agentic AI & Enterprise Applications

Location : Pune / Bangalore / Hyderabad / Chennai (Hybrid / Work from Office as per project requirement)

Experience : 15–25 Years

About the Role

We are looking for a highly experienced Enterprise AI Architect who can drive the design and implementation of AI/GenAI solutions across large-scale enterprise environments.

The ideal candidate should have experience integrating AI solutions with enterprise business platforms such as:

• SAP (S/4 HANA, SAP BTP, SAP AI Core)
• Oracle (Oracle ERP, Oracle CX, Oracle Cloud)
• Salesforce
• ServiceNow
• PEGA

The role requires a blend of Enterprise Architecture, AI Strategy, Agentic AI, GenAI, Platform Integration, and Business Transformation.

Key Responsibilities

Enterprise AI Transformation

• Define Enterprise AI strategy and target-state architecture.
• Drive AI adoption across enterprise applications and business processes.
• Build AI-led transformation roadmaps aligned to business objectives.

Enterprise Platform Integration

• Design and implement AI solutions integrated with:

• SAP
• Oracle
• Salesforce
• ServiceNow
• PEGA

Generative AI & Agentic AI

• Architect GenAI and Agentic AI solutions using:

• OpenAI
• Azure OpenAI
• AWS Bedrock
• Anthropic Claude
• Gemini

• Llama

• Design autonomous and multi-agent workflows.
• Implement enterprise-grade RAG architectures.

AI Solution Architecture

• Build scalable and secure AI platforms.
• Define reference architectures, governance frameworks, and reusable AI patterns.
• Establish LLMOps, MLOps, observability, evaluation, and monitoring mechanisms.

Stakeholder Management

• Collaborate with business leaders, CIOs, CTOs, Enterprise Architects, and Product Owners.
• Conduct architecture reviews and technical governance.
• Lead client workshops, solutioning discussions, and strategic transformation initiatives.

Must-Have Skills

AI / GenAI

• Generative AI
• Agentic AI
• RAG
• LangChain
• LangGraph
• LLM Integration
• Prompt Engineering
• AI Governance

Enterprise Platforms (Critical)

Strong hands-on experience in at least one or more:

• SAP
• Oracle
• Salesforce
• ServiceNow
• PEGA

Cloud Platforms

• Azure
• AWS
• GCP

Architecture

• Enterprise Architecture
• Solution Architecture
• Microservices
• API-led Architecture
• Cloud-native Design

Preferred Skills

• SAP AI Core / SAP BTP
• Oracle ERP / Oracle CX
• Salesforce AI initiatives
• ServiceNow AI integrations
• TOGAF Certification
• BFSI, Retail, Healthcare, Telecom, Manufacturing experience
• AI Center of Excellence leadership

What We Are Looking For

Candidates who have successfully implemented:

AI + SAP
AI + Oracle
AI + Salesforce
AI + ServiceNow
AI + PEGA

rather than profiles that are purely focused on standalone GenAI, Data Science, or AI research.

Summary -

“We are looking for a Senior Enterprise AI Architect who has implemented GenAI/Agentic AI solutions on top of enterprise platforms such as SAP, Oracle, Salesforce, ServiceNow, PEGA. The role is focused on enterprise transformation, AI integration, and business process automation rather than standalone AI development.”

Detailed Job Description

Position Overview

Tech Mahindra is hiring Senior AI Architects across Hyderabad, Chennai, Pune, and Bangalore. This role is for senior technology leaders who can define AI architecture strategy, design enterprise-grade solutions, and guide teams from concept to production at scale.

The position combines strategic advisory responsibilities with hands-on architecture and implementation leadership. It is suited to professionals who can connect business priorities, enterprise platforms, cloud ecosystems, and AI engineering practices into scalable and reusable solution patterns.

Role Purpose

The Senior AI Architect will shape and validate AI-led transformation programs for enterprise clients, with a strong focus on scalable architecture, reusable assets, and outcome-driven solution design. The role is expected to bridge business stakeholders, enterprise architects, platform teams, data and AI engineering teams, and delivery leadership across global engagements.

This role requires practical judgment on how AI should be embedded into enterprise landscapes, including business applications, integration layers, governance controls, and production operations. St…