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 Lang Chain and Lang Graph.
- 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/Web Socket 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 search architectures, and fine-tuning pipelines.
- Frameworks & Tools : Deep implementation knowledge of Lang Chain, Lang Graph, Hugging Face Transformers, and agentic design patterns.
- Data & Vector Stores : Practical experience with vector databases (Pinecone, Weaviate, pgvector, Qdrant) alongside relational and NoSQL databases.
- Cloud Architecture : Hands-on deployment experience across AWS (Bedrock, Sage Maker), Azure (OpenAI Service, AKS), or GCP (Vertex AI). Cloud architect certifications are a strong plus.

Key Filter (Please Read Before Applying)

This is strictly a 100% Individual Contributor (IC) role. Candidates whose primary career objective is team management, headcount leadership, delivery oversight, or governance-only roles will not be considered. We are exclusively looking for technologists who want to stay hands-on with code, architecture, and client-facing solutioning.

How to Apply

If you are a hands-on technologist who loves building complex AI systems and solving hard engineering problems, apply directly with your updated resume or drop a message with a brief outline of the agentic AI/RAG systems you have recently built!

📌 Solutions Architect (India)
🏢 Recro
📍 India