Senior Machine Learning Engineer
QuantiphiAbout the role
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!
About Quantiphi:
Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients.
Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.
Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters
We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:
21 Google Cloud Partner of the Year awards in the past 10 years
3 AWS AI/ML Partner of the Year awards
3 NVIDIA Partner of the Year awards
3 Snowflake Partner of the Year awards
Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms
Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.
We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.
For more details, visit: Website or LinkedIn Page
Job Description:
Location: Mid-Town NYC, USA
Work Model: In-person 3 days/week
Experience Level: 5+ Years
Engagement Context & What You'll Build
You will join a focused pod building two tightly-coupled capabilities for Humana's internal users:
1. Internal Agentic Search Engine
Build agentic pipelines that plan, retrieve, and reason across numerous internal and enterprise data sources (structured and unstructured).
Design robust retrieval, grounding, and orchestration layers so agents return accurate, cited, and trustworthy answers.
Implement tool-use, multi-step reasoning, and evaluation loops that keep quality high as sources and scope grow.
2. Perplexity-Style Front End
Deliver a fast, intuitive, conversational search experience for Humana employees — answer-first, with sources, follow-ups, and streaming responses.
Partner across the stack to connect the agentic backend to a responsive, production-grade UI.
Instrument usage, feedback, and quality signals to continuously improve relevance and user trust.
Key Responsibilities
Build hands-on, end to end. Design, code, test, and ship agentic AI features into production — you write code every day, not just architecture diagrams.
Engineer agentic systems. Develop planning, retrieval, tool-use, and orchestration components for the internal agentic search engine.
Integrate many data sources. Connect agents reliably and securely to numerous internal and enterprise data sources.
Deliver on Google Cloud. Build, deploy, and operate solutions natively on GCP (Vertex AI, GKE, BigQuery, Cloud Run, and related services).
Ship the user experience. Contribute to the Perplexity-style front end so end users get fast, grounded, well-cited answers.
Own quality and evaluation. Establish evals, guardrails, observability, and feedba
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