Associate Principal - Architect
LTIMindtree · Bangalore
Source and collection record
Last observed by our collector: . This is not a manual review or a confirmation from the employer.
Employer requisition: 887880
Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.
Your application evidence checklist
Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.
0 of 2 checks marked. Keep unresolved requirements as questions for the employer.
Collected role description
Job Title: Associate Principal - Architect - (Agentic AI) Location : Bangalore / Hyderabad / Chennai / Pune / Mumbai Overall Experience Required : 12 - 16 Years Job Details: We are seeking an accomplished Associate Principal - Architecture - to lead the design and implementation of cutting-edge AI solutions. This role demands a hands-on technical leader with extensive experience in Java-based microservices and advanced AI/ML technologies, driving digital transformation initiatives. Job Description: !-- [if !supportLists]--> 1. !--[endif]-->Define and own the hands-on technical architecture and implementation of AI solutions within large modernization and digital transformation programs. !-- [if !supportLists]--> 2. !--[endif]-->Lead the design and development of production-grade AI systems, ensuring smooth cutover to production against all non-functional requirements. !-- [if !supportLists]--> 3. !--[endif]-->Architect and implement agentic AI solutions using frameworks such as LangChain, LangGraph, CrewAI, and AutoGen, incorporating planning, tool calling, and guardrails. 
 !-- [if !supportLists]--> 4. !--[endif]-->Design and build robust RAG (Retrieval Augmented Generation) pipelines, covering chunking, embeddings, vector and hybrid search, and grounding. 
 !-- [if !supportLists]--> 5. !--[endif]-->Integrate Large Language Models (LLMs) via SDKs and APIs, applying advanced prompt engineering, versioning, and parameter-efficient tuning techniques. 
 !-- [if !supportLists]--> 6. !--[endif]-->Develop and manage MLOps and LLMOps pipelines, including model registries, CI/CD, containerized serving, and safe rollout strategies for scalable inference. !-- [if !supportLists]--> 7. !--[endif]-->Ensure NFR compliance, scalability, resilience, and cost-efficiency of AI systems, exposed as secured AI APIs. !-- [if !supportLists]--> 8. !--[endif]-->Mentor technical leads and developers, facilitate technical workshops, and collaborate with client architects and program managers. !-- [if !supportLists]--> 9. !--[endif]-->Drive the adoption of AI across the Software Development Life Cycle (SDLC), including AI-assisted coding, testing, and documentation. !-- [if !supportLists]--> 10. !--[endif]-->Contribute to thought leadership by building proofs-of-concept, frameworks, and accelerators, and support presales proposals. 
 
 Skills and Qualifications: 
 
 Mandatory Skills: 
 !-- [if !supportLists]--> ·� !--[endif]-->LangChain 
 !-- [if !supportLists]--> ·� !--[endif]-->Python 
 !-- [if !supportLists]--> · !--[endif]-->Agentic AI Implementation (LangGraph, CrewAI, AutoGen) !-- [if !supportLists]--> · !--[endif]-->RAG Implementation (chunking, embeddings, vector/hybrid search) !-- [if !supportLists]--> · !--[endif]-->LLM Integration and Prompt Engineering !-- [if !supportLists]--> · !--[endif]-->ML/DL Foundations and Production-Grade AI Engineering !-- [if !supportLists]--> · !--[endif]-->AI Observability and Responsible AI Good to Have Skills: !-- [if !supportLists]--> · !--[endif]-->LLMOps !-- [if !supportLists]--> · !--[endif]-->MLOps !-- [if !supportLists]--> · !--[endif]-->Cloud certifications (AWS, Azure, GCP) !-- [if !supportLists]--> ·� !--[endif]-->Certification in AI/ML or Generative AI 
 !-- [if !supportLists]--> ·� !--[endif]-->Solution Architecture awareness 
 !-- [if !supportLists]--> ·� !--[endif]-->Program Architecture awareness
Collected experience requirement
12 - 16 Years