# AI-native R&D Team Lead

**Company**: Evernorth
**Location**: Hyderabad
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://cigna.wd5.myworkdayjobs.com/en-US/cignacareers/job/Hyderabad-India/Machine-Learning-Senior-Advisor---HIH---Evernorth_26005761?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_071fdf88-33a

## Description

Evernorth exists to elevate health for all. As champions for affordable, predictable and simple health care, we solve the problems others don’t, won’t or can’t.

We are 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.

**The Problems We're Solving**

- Turning overwhelming data into clarity: We build systems that find what matters, understand why it matters, and tell the story to the people who need to act , in near-real-time, not weeks later.

- Clinical AI that reaches real patients: We build tools that help care teams identify who needs attention now , turning clinical data into prioritized, actionable signals for the people making care decisions.

- Rapid prototypes that drive real decisions: We run short, high-intensity build cycles: from "what if we could..." to a working prototype that can actually move a decision.

- Making the team itself faster: We build AI-augmented workflows that compound over time , tools that reduce overhead, accelerate research, and let the team stay in flow on the hard problems.

- The infrastructure that makes all of it possible: We build the connective tissue , agent infrastructure that makes real organizational data accessible to the tools we're building.

**How We Work**

- Spec-driven, not sprint-driven: Write a spec, build it, ship it, demo it.

- Weekly demos: Every Friday, working software over status updates.

- High autonomy: You own workstreams, not tickets.

- AI-native every day: We use the tools everyone else is still debating.

**What We Look For**

- Product sense: Think about users first. Ask "why" before "how."

- Engineering fluency: Full-stack capable. Can move from data to API to UI as the problem demands.

- Design eye: Creates usable interfaces without a designer for every decision.

- AI nativity: Use AI tools as core infrastructure for daily work , coding, research, and validation.

- Shipping velocity: Track record of finishing things.

- Ownership mindset: Owns outcomes, not tasks.

**Qualities That Matter**

- Craftsmanship: Sweats details that matter.

- Pragmatism: Ships 80% solutions.

- Curiosity: Learning new tools and tech eagerly.

- Low ego: Celebrates team wins.

- Nice: Genuinely kind.

**Desired Skills**

- Experience: 10+ years of experience across software engineering, product management, and AI/digital product development.

- Prior experience as a full‑stack engineer 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.

## Skills

### Required
- AI
- Machine Learning
- Full-stack engineering
- Product management
- Healthcare

### Nice to have
- GenAI
- Agentic AI systems
- LLMs
- RAG
- Agent orchestration

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Source: [Apply at cigna.wd5.myworkdayjobs.com](https://cigna.wd5.myworkdayjobs.com/en-US/cignacareers/job/Hyderabad-India/Machine-Learning-Senior-Advisor---HIH---Evernorth_26005761?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)