Ai Solution Architect

Role : AI Solution Architect

Loc : 5 days office in Hyderabad

Exp : 12+ years

Employment Type : Full Time

Job Summary

We are seeking a highly experienced AI Architect / GenAI & Agentic Systems Lead to design, develop, and scale enterprise-grade AI platforms and agentic solutions.

The ideal candidate will possess deep expertise across Generative AI, Agent Ops, cloud-native engineering, and AI platform strategy , with hands-on proficiency in LLMs, orchestration frameworks, and multi-cloud deployments .

This role requires a strong technical leader who can architect and operationalize AI ecosystems aligned with enterprise governance, scalability, and compliance standards.

Key Responsibilities

• Design and implement end-to-end AI architectures — spanning data ingestion, experimentation, model deployment, observability, and lifecycle management.
• Lead the development of Agentic AI systems with advanced features such as Agent Ops, observability, shared memory, A2A communication, and context-sharing via MCP.
• Architect and operationalize enterprise AI marketplaces / registries for governed, self-service publishing and consumption of models, datasets, and agents.
• Build and manage horizontal AI services at scale — prompt / RAG APIs, vector & feature stores, guardrails, evaluation, and observability frameworks.
• Collaborate with data, cloud, and engineering teams to deliver multi-cloud AI platforms using AWS, Azure, and GCP (especially Vertex AI, Agentspace, ADK).
• Implement MLOps, AIOps, and Dev SecOps best practices for AI and agent lifecycle deployment, security, and monitoring.
• Develop AI blueprints covering retrieval pipelines, tool use, safety, zero-trust access, and multi-tenant isolation.
• Drive transition from traditional AI → GenAI → Agentic architectures , supporting LLM fine-tuning, RAG workflows, and autonomous agents.
• Define and enforce AI governance, ethical AI, and data compliance frameworks aligned with enterprise policies.
• Lead cross-functional teams, ensuring SDLC and Agile process alignment, while mentoring engineers and data scientists.
• Partner with leadership to shape AI platform strategy, integration roadmaps , and enterprise-wide adoption frameworks.

Required Skills & Abilities

Programming & AI Frameworks

Agentic AI & Autonomous Systems

Cloud & Platform Engineering

MLOps, AIOps & DevSecOps

AI Architecture & Enterprise Integration

Ethical & Responsible AI

Leadership & Collaboration