GenAI/Agentic AI Solution Architect

Tech Mahindra; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Tech Mahindra in Pune seeks a Technical Architect with deep expertise in Agentic AI and Generative AI to design next-gen cloud-native, open-source AI solutions. The role focuses on end-to-end AI architecture, leveraging hyperscaler ecosystems to deliver scalable, secure enterprise-grade Data and AI platforms with observability and governance.

The architect will provide technical leadership, define best-practice AI architecture, and collaborate with engineering, data and product teams to

Qualifications

• 10-15 years of overall IT experience.
• 3+ years hands-on with Generative AI and Agentic AI.
• Proven design and deployment of AI solutions on hyperscaler platforms.
• Strong cloud-native and distributed system architecture background.
• Location: Pune.

Responsibilities

• Provide technical leadership in AI architecture.
• Design best-practice AI architecture and governance.
• Collaborate with engineering, data and product teams to translate requirements into AI-driven solutions.
• Ensure observability, security, and scalable deployment.

Skills

Agentic AI

Generative AI

LLMs

AI Architecture

Cloud-native

Hyperscaler

Security

Observability

Data Mesh

Cost Optimization

Tools

Azure

AWS

GCP

Databricks

Snowflake

Job description

We are seeking a Technical Architect with strong experience in Agentic AI and Generative AI space to design and drive next-generation, cloud-native and open-sourced AI solutions. The role will focus on end-to-end AI architecture, leveraging hyperscaler ecosystems to deliver scalable, secure, and enterprise-grade Data and Vertical Agentic AI solutions with observability and security

The architect will provide technical leadership, design, ensure best-practice AI architecture, and work closely with engineering, data, and product teams to translate business requirements into robust AI-driven solutions.

Required Experience

• 10-15 years of overall IT experience.
• 3+ years of hands-on experience with Generative AI and Agentic AI systems.
• Proven experience designing and deploying AI solutions on hyperscaler platforms (Azure, AWS, or GCP).
• Strong background in cloud-native and distributed system architectures.
• Location-Pune

Core Skills & Expertise

Agentic & Generative AI

• Large Language Models (LLMs) and foundation models
• Tool calling, memory management, and agent orchestration
• Retrieval-Augmented Generation (RAG) architecture
• Mitigation of hallucinations and AI reliability patterns
• End-to-end AI solution architecture
• AI governance frameworks and guardrails
• Model observability, monitoring, and cost optimization
• Responsible AI, explainability, and compliance
• Microsoft Azure or GCP or AWS, Databricks and Snowflake (exposure in more than 2 will be preferred)
• Scalability, resilience, and high-availability design
• Security, IAM, and API management on cloud platforms
• Data Mesh and data product architectures (good to have)
• Integration with data catalogs and governance platforms
• Data Quality and Governance

Nice-to-Have Skills

• Experience in Telecom or regulated industries
• Synthetic data generation and privacy-preserving architecture
• Marketplace or data monetization platforms
• Pre-sales, solution storytelling, or co-innovation experience with cloud providers

Soft Skills

• Strong technical leadership and decision-making
• Ability to translate business needs into technical architecture
• Clear communication with senior stakeholders