Role Summary
We are seeking a Technical Architect with solid 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
Multi-agent system design (Supervisor–Worker, autonomous agents)
Large Language Models (LLMs)



and foundation models
Prompt engineering, prompt lifecycle management
Tool calling, memory management, and agent orchestration
Retrieval-Augmented Generation (RAG) architecture
Mitigation of hallucinations and AI reliability patterns
AI Architecture & Governance
End-to-end AI solution architecture
AI governance frameworks and guardrails
Model observability, monitoring, and cost optimization
Responsible AI, explainability, and compliance
Hyperscaler & Cloud Platforms
Microsoft Azure or GCP or AWS, Databricks and Snowflake (exposure in more than 2 will be preferred)
Cloud-native principles (microservices, APIs, event-driven design)
Scalability, resilience, and high-availability design
Security, IAM, and API management on cloud platforms
Data & Platform Architecture
Data Mesh and data product architectures (good to have)
Metadata-driven engineering
Enterprise data modeling concepts
Integration with data c

📌 GenAI/Agentic AI Solution Architect (Pune)
🏢 Tech Mahindra
📍 Pune