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!
Skills Required
- 7-12 years of relevant experience
- Strong Python experience for building AI/ML and GenAI solutions
- Experience designing and building GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
- Working experience on Amazon Bedrock AgentCore, AWS QuickSuite, AWS Transform, and Kiro
- Experience with agent orchestration frameworks (LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen)
- Experience with Vector DBs (Pinecone, Milvus, Redis, pgvector) and vector stores
- Experience implementing hybrid search, re-rankers, chunking, and vector-based retrieval
- Experience with LLM monitoring, fine-tuning, addressing hallucinations, and model evaluation/observability
- Knowledge of CI/CD practices
- Knowledge in configuring guardrails and PII redaction
- Experience with SQL, NLP, computer vision, and deep learning algorithms
- Working experience with Open Source Models
- Ability to collaborate with presales and customer teams to build solutions
- Experience in UI/UX
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Flexible Benefits — Hybrid and work-from-home options are commonly available and perceived as meaningful perks that increase overall package value. Flexibility by team and role often enhances day-to-day experience even when cash pay is not top-tier.
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Healthcare Strength — U.S. materials indicate medical coverage that includes dental and vision, and employee accounts align with having these plans in place. The presence of core health benefits contributes to a baseline of security across key locations.
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Parental & Family Support — Paid parental leave is available in the U.S., with examples citing generous leave lengths. Family-focused policies appear alongside other flexibility features.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
