Technical Architect - Agentic AI Specialist
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Technical Architect - Agentic AI Specialist
Location
IN KA Bengaluru • IN MH Mumbai Eureka
Experience
Senior
Posted
Jul 14, 2026
Apply by
August 13, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Role : Architect - Machine Learning (Agentic AI Specialist)
Experience : 7 - 12 Years
Location : Mumbai/ Bangalore
Key Responsibilities
- Design & build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
- Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval.
- Select/integrate/finetune LLMs & multimodal models
- Apply prompt-engineering techniques to specific use cases and types
- Experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, etc.
- Should have a clear understanding of CI/CD.
- Should have knowledge in configuring guardrails and PII redaction.
- Experience with LLM models monitoring and fine-tuning, addressing hallucinations
- Should be able to work on solution building along with presales/customer teams
- Stay informed about the latest advancements in Gen AI, machine learning, and AI technologies to optimize our technical stack.
Required Skills
- Strong Python experience to build multiple AI-ML/ GenAI Solutions.
- Should have working experience on Amazon Bedrock AgentCore, AWS QuickSuite, AWS Transform, and Kiro
- Should have experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, and AutoGen.
- Strong experience working on Vector DB like Pinecone, Milvus, Redis/pgvector); Should have experience working on hybrid search and re-rankers
- Should have experience in evaluation & observability
- Experience working on SQL Query, NLP, CV, and Deep Learning Algorithms
- Should have working experience with Open Source Models
- Experience in UI/UX will be an added advantage.
What is in it for you:
- Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
- Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
- Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
- Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !
Key Responsibilities
- Design and build GenAI and agentic systems including chat copilots, workflow agents, and tool use.
- Implement chunking, hybrid search, vector stores, re-ranking, and continuous data quality evaluation.
- Select, integrate, and fine-tune LLMs and multimodal models.
- Apply prompt-engineering techniques to specific use cases.
- Work on solutions based on LLM, NLP, Deep Learning, and Machine Learning.
- Configure guardrails and PII redaction.
- Monitor and fine-tune LLM models to address hallucinations.
- Collaborate with presales and customer teams on solution building.
- Stay informed about latest advancements in GenAI and AI technologies.
Skills Required
PythonAmazon Bedrock AgentCoreAWS QuickSuiteAWS TransformKiroLangGraphLangChainSemantic KernelCrewAIAutoGenPineconeMilvusRedispgvectorHybrid searchRe-rankersSQLNLPComputer VisionDeep LearningOpen Source ModelsCollaborationInnovationUI/UX
Benefits
- Upskill opportunities
- Exposure to Fortune 500 companies
- Research-focused environment
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