Machine Learning Senior Advisor - HIH - Evernorth

India·Hyderabadsenior

Machine LearningData & AI

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Quick Summary

Key Responsibilities

- Shipped work — whether through your day job, open source, or personal projects; what you built, who used it, and what it changed - Evidence of working across the stack: not just the frontend,

Requirements Summary

2.30PM IST to 11.30PM IST Equal Opportunity Statement Evernorth is a

Technical Tools

Machine LearningData & AI

Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care,
we solve the problems others don’t, won’t or can’t.

Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference.

We are always looking upward. And that starts with finding the right talent to help us get there.

We're a small AI-native R&D team inside one of the largest health organizations in the country. We build products that affect real healthcare outcomes — how risk gets detected, how care decisions get made, and how clinical teams do their work. We're looking for hybrid builders who own what they build: people who decide what to build, not just how.

AI fluency isn't nice-to-have. It's how we work.

A few honest things about this team: we have access to clinical data at a scale that would take a startup year to build through partnerships, and the ability to deploy to millions of people from day one. We also sit inside an enterprise, which means some things take longer than they would at a seed-stage company. We've structured the team to minimize that friction — and we're direct about where it still shows up.

Think about users first. Asks "why" before "how." Has opinions about what to build — and what not to.

Full-stack capable. Can move from data to API to UI as the problem demands. Writes production-quality code.

Creates usable interfaces without a designer for every decision. Knows good UX when they see it.

Use AI tools as core infrastructure for daily work — coding, research, and validation. Understands where models are good and where they break.

Track record of finishing things. Ships products, not just pull requests.

Owns outcomes, not tasks. Takes initiative without being told. "That's not my job" isn't in their vocabulary.

We want builders who are deep in one or two areas and fluent across many — able to touch any part of the stack when the problem demands it.

Sweats details that matter. Ignores ones that don't.

Ships 80% solutions. Knowing when good enough is good enough.

Learning new tools and tech eagerly. Not precious about their stack.

Celebrates team wins. Admits mistakes. Asks for help.

Genuinely kind. Not nice-as-performance. Non-negotiable — small teams require trust.

We evaluate outputs, not inputs. What you've shipped tells us more than where you've been or what credentials you hold.

Responsibilities

~1 min read

This team sits inside a major health organization. That means two concrete things:

10+ years of experience across software engineering, product management, and AI/digital product development.
Prior experience as a full‑stack engineer (frontend, backend, APIs, data layers, cloud‑native systems) before transitioning into product management is preferred
Demonstrated success building and scaling AI‑enabled or data‑driven products in real‑world production environments.
Hands‑on experience with AI experimentation, including hypothesis‑driven development, rapid prototyping, pilots/POCs, and outcome measurement.
Practical experience designing or working with GenAI and Agentic AI systems (LLMs, RAG, agent orchestration, evaluation, guardrails).
Strong track record partnering deeply with AI, data, and engineering teams on complex system design and delivery decisions.
Experience operating in global, matrixed environments with US‑based product and technology leaders.
Experience in healthcare, insurance, pharmacy, or other regulated domains is preferred but not mandatory.

Strong product sense and ability to operate under ambiguity.
Ownership mindset with a track record of shipping complete products.
Effective communicator across technical and non-technical stakeholders.
Comfortable using AI tools as part of daily development workflow.
Collaborative, pragmatic, and detail oriented.

Requirements

~1 min read

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related quantitative discipline (B.E. / B.Tech / B.Sc.) from top tier institute
Master's degree (M.E. / M.Tech / M.S.) in Computer Science, AI/ML, or Data Science is preferred from top tier institute
Equivalent professional experience and a strong portfolio of shipped work may be considered in lieu of formal qualifications.

2.30PM IST to 11.30PM IST

Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.

Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.