JD Role: AI Architect (Gen AI Specialist).

Experience: 12 to 17 Years.

Location: Bangalore & Pune.

Role Summary:

- Accountable for architecting and leading the delivery of AI-led AINext solutions built on Generative AI and Agentic AI.

- Owns solution architecture, model and framework selection, and technical quality for GenAI use cases, from design and prototyping through production deployment.

Key Responsibilities:

Solution Architecture & Design:

- Design end-to-end architecture for Generative AI and Agentic AI solutions on the AINext platform, covering LLM selection, RAG pipelines, agent orchestration, tool integration, and guardrails.

- Architect agentic and multi-agent workflows using frameworks such as LangChain, LangGraph, and Google ADK.

- Design backend and integration layers using Python and Java Spring Boot, exposing AI capabilities as secure and scalable services.

- Evaluate and recommend foundation models (for example Claude, Gemini, and OpenAI models) and deployment options for client problem statements.

- Design IDP (Intelligent Document Processing) solution architecture end to end, combining document ingestion, classification, OCR and layout-aware extraction, LLM-based extraction, validation, human-in-the-loop review, and downstream integration.

Technical Leadership & Quality:

- Provide technical leadership and mentorship to Gen AI engineers, Python developers, and technology leads.

- Establish standards for prompt engineering, agent design, evaluation, and deployment of GenAI solutions.

- Conduct design and code reviews, and ensure reliability, security, scalability, and performance of AI solutions.

- Troubleshoot and resolve technical issues in production AI systems.

Evaluation, Governance & Responsible AI:

- Define evaluation, observability, cost, and latency monitoring approaches for LLM and agent-based solutions.

- Assess ethical implications, data privacy, and security risks of GenAI deployments, and design appropriate guardrails.

Stakeholder Management & Pre-sales:

- Act as the primary technical contact for client architects and business stakeholders, and drive GenAI architecture workshops.

- Advise clients on GenAI and agentic AI use cases and provide feedback for the product roadmap.

- Partner with product architecture, data, engineering, and security teams.

- Support pre-sales activities by providing GenAI solution design, estimates, and expertise.

Required Qualifications and Skills:

- Strong hands-on experience architecting Generative AI solutions using LLMs, RAG, embeddings, vector databases, and prompt engineering.

- Experience building agentic AI solutions, including tool calling, multi-agent orchestration, memory, and planning, using LangChain, LangGraph, Google ADK, or similar frameworks.

- Experience with foundation models such as Claude, Gemini, and OpenAI models, and an understanding of their trade-offs.

- Strong programming skills in Python and Java Spring Boot, with experience in microservices and REST APIs.

- Experience with cloud platforms (AWS, Azure, or GCP), Docker, Kubernetes, and CI/CD.

- Strong understanding of data structures, databases (SQL and vector), and the AI project lifecycle.

- Understanding of AI security, data privacy, and responsible AI practices.

- Excellent communication skills and the confidence to convey technical advice and guidance to clients.

- Good to have: Understanding of end-to-end Intelligent Document Processing (IDP) solution architecture, including document ingestion, extraction, validation, and integration.