Role: AI Solution Architect (100% Hands-On IC)
Location: Delhi (India)
Experience: 10+ Years Total | 3–4+ Years in Hands-On GenAI & Agentic AI
Education: B.Tech / M.Tech / MS / PhD in Computer Science or related technical field
About the Role
We are seeking a senior AI Solution Architect who is passionate about remaining 100% hands-on with technology. This is a pure Individual Contributor (IC) position—there is zero people management, team oversight, or administrative overhead.
In this role, you will sit directly across the table from enterprise clients to architect production-grade GenAI systems, optimise LLM pipelines, scale compute infrastructure, and justify complex technical trade-offs in real time. If you thrive on rolling up your sleeves, writing code, and solving real-world AI execution bottlenecks, this role is built for you.
Key Responsibilities
- Enterprise Client Architecture: Interface directly with client technical leadership to translate business requirements into scalable, secure AI architectures.
- GenAI & Agentic System Design:
Architect and build end-to-end multi-agent workflows, LLM orchestration layers, and RAG pipelines using frameworks like LangChain and LangGraph.
- Real-Time Technical Execution: Manage hands-on infrastructure scenarios, including GPU scaling, embedding model selection, vector indexing, fine-tuning evaluations, and model unlearning.
- API & Platform Integration: Define microservices patterns, serverless architectures, and REST/GraphQL/WebSocket endpoints to integrate AI services into enterprise software platforms.
- Security & Responsible AI: Implement robust data privacy, zero-trust access controls (IAM/RBAC), encryption standards, and AI governance guardrails across multi-cloud environments.
What We Are Looking For
- Total Experience: 10+ years of solid software engineering and distributed systems background.
- GenAI Expertise: 3–4+ years of direct, hands-on experience building production GenAI applications, vector
📌 Solutions Architect (Delhi)
🏢 Recro
📍 Delhi