100 matching jobs for “Software Engineering Senior Advisor- Hybrid”

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Verizon

Senior Engineering Consultant-AI Science

Chennai, India +1 location

Hybrid
Full time
Regular
Senior

The Senior Engineer Consultant – AI Science serves as a technical leader and subject matter expert in artificial …

Added Oct 16, 2026

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Fannie Mae

Cloud Engineer (Advisor)

Reston, Virginia, United States +1 location

Flex
Full time
Regular

Pay posted by employer$155,000–$209,000 per year

… or products. This work includes architecture, design, coding, testing, and certifying technology platforms, software, and applications. THE IMPACT YOU WILL MAKE The Cloud Engineer - Advisor ideal candidate brings extensive …

Added Oct 15, 2026

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The Cigna Group

Machine Learning Senior Advisor - HIH - Evernorth

Hyderabad, India

Full time
Regular

… 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 …

Added Oct 16, 2026

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Palo Alto Networks

Senior Principal Software Engineer, Tools & Platforms (Cortex)

Office - USA - CA - Headquarters

We are seeking a Senior Principal Software Engineer who is first and foremost a software craftsman with a passion for building …

Added Oct 27, 2026

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Allstate

Platform Consultant - (Multiple Levels) - (Hybrid OR Remote)

Belfast 10 Mays Meadow +1 location

Full time
Regular

… new and existing applications, influencing architectural decisions, improving security posture, and guiding engineering organizations through complex security challenges. Working across Product Security, Engineering, Security …

Added Oct 27, 2026

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The Cigna Group

Agile Product Management Associate Advisor - HIH - Evernorth

Hyderabad, India

Full time
Regular

… requirements (functional/ non-functional) Communicates stakeholder goals and expected outcomes to the engineering/ Solution Architect/ Principal engineering team and writes definition-of-ready user stories, incorporating …

Added Oct 16, 2026

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Cisco Systems

Consulting Engineering Technical Leader

Singapore, Singapore

The Consulting Engineering Technical Leader is Cisco's senior Enterprise Networking professional services technical leader for complex …

Added Oct 27, 2026

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Comcast

Director, Enterprise Architecture – Platform & Infrastructure - (Reston - Hybrid) FreeWheel

Reston, Virginia, United States +3 locations

Full time
Regular

Pay posted by employer$178,798.92–$268,198.38

… strategic architecture advisor to the Executive Director of Enterprise Architecture, the CTO organization, Engineering leadership, Platform Engineering, Security, Operations, Data, and Product Architecture. The leader in this …

Added Oct 15, 2026

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RTX

Software Quality Engineer

Marlborough, Massachusetts, United States

… and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions …

Added Oct 27, 2026

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RTX

Software Quality Engineer

Tucson, Arizona, United States

Added Oct 27, 2026

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RTX

Software Quality Engineer

Tucson, Arizona, United States

Added Oct 27, 2026

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Walmart

DISTINGUISHED, SOFTWARE ENGINEER

IN KA BANGALORE Home Office PW II

… is rightly balanced delivering critical business initiatives at the same time very focused on innovation, engineering and operational excellence. This team is responsible for building an enterprise-scale, AI-powered platform …

Added Oct 27, 2026

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Capital One Financial

Senior Manager Enterprise SaaS Sales - Capital One Software (Remote)

Richmond, Virginia, United States +1 location

Senior Manager Enterprise SaaS Sales - Capital One Software (Remote) Ever since our first credit card customer in …

Added Oct 30, 2026

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RTX

Sr. Mgr, Systems Security Engineering (Onsite - Cedar Rapids, IA)

Cedar Rapids, Iowa, United States

… as possible. Our commitment is to do exactly that. The Product Cybersecurity Organization (PCO) is hiring a Senior Systems Security Engineering Manager to support programs for our US military and various international …

Added Oct 27, 2026

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Cencora

Lead Engineer, IAM Platform Engineering

Conshohocken, PA +1 location

Full time

… implements advanced IAM architectures, automated workflows, and Zero Trust security frameworks that support hybrid cloud and SaaS environments. Serves as a strategic advisor to technology and security leadership on …

Added Oct 27, 2026

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Palo Alto Networks

Distinguished Engineer Software (Cortex Platform)

Office - USA - CA - Headquarters

… massive data sets. Job Summary We are seeking a Distinguished Engineer to join the Cortex Cloud team as a senior technical leader and hands-on expert, driving innovation across high-stakes, AI-native projects. In this …

Added Oct 27, 2026

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RTX

Software Quality Engineer onsite Woburn, MA

Woburn, Massachusetts, United States

Added Oct 27, 2026

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Databricks

Manager, Field Engineering (Pre-Sales) – Benelux Named Accounts

Amsterdam, The Netherlands

(FEQ427R544) Role Summary As a Field Engineering Manager, you will lead a high-performing team of technical pre-sales Solutions Architects (SAs) dedicated …

Added Oct 5, 2026

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State Street

Software Engineer – Backend Platforms, Assistant Vice President (Wealth Custody & Clearing)

Boston, Massachusetts, United States +4 locations

Full time

Pay posted by employer$90,000–$157,500

… for State Street’s Wealth Custody & Clearing business is seeking multiple Assistant Vice Presidents, Software Engineers to join our growing Technology organization. These are hands-on engineering roles responsible for …

Added Oct 27, 2026

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Coupang

Senior Technical Program Manager

Bengaluru, India

Full time (company default)
Senior

… foundational infrastructure, cloud services, platform capabilities, and operational excellence that enable engineering teams across the company to innovate at scale. As a Senior Staff Technical Program Manager, you will drive …

Added Oct 4, 2026

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The Cigna Group

Machine Learning Senior Advisor - HIH - Evernorth

Hyderabad, India

Full time
Regular

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What We Look For · employer excerpt

Dimension
What It Looks Like
Product sense
Think about users first. Asks "why" before "how." Has opinions about what to build — and what not to.
Engineering fluency

33 more in the full description below.

About this opportunity

Original employer description

ABOUT EVERNORTH:

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.

Position overview:

The Problems We're Solving

Turning overwhelming data into clarity. Large organizations generate more signals than any team can manually process. A leadership team responsible for a portfolio of millions needs to know which three trends demand attention this week — and why they're happening — before manual reports would surface them. 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. The technical challenge is multi-layered: anomaly detection, causal reasoning, natural language synthesis. The human challenge is harder: making AI-generated insight compelling and trustworthy enough that people actually change what they do.

Clinical AI that reaches real patients. The patients who most need intervention are often invisible until they're already in crisis. 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. The data is messy, the stakes are real, and getting it wrong matters.

Rapid prototypes that drive real decisions. New AI opportunities surface constantly. Leadership needs to evaluate them fast — before the window closes. We run short, high-intensity build cycles: from "what if we could..." to a working prototype that can actually move a decision. Scoping what to build is harder than building it, and this is where product sense matters most.

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. We eat our own cooking: every internal tool gets used by the people who built it before it goes anywhere else.

The infrastructure that makes all of it possible. Enterprise data is siloed and hard to connect to AI systems. We build the connective tissue — agent infrastructure that makes real organizational data accessible to the tools we're building. This is the foundation everything else depends on.

How We Work

Spec-driven, not sprint-driven. Write a spec, build it, ship it, demo it. No standups, no ceremonies, no two-week batches.
Weekly demos. Every Friday. Working software over status updates.
High autonomy. You own workstreams, not tickets. No one tells you which file to edit.
AI-native every day. We use the tools everyone else is still debating. That's not optional — it's how this team operates.

What We Look For

Dimension

What It Looks Like

Product sense

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

Engineering fluency

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

Design eye

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

AI nativity

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

Shipping velocity

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

Ownership mindset

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.

Qualities That Matter

Quality

What It Looks Like

Craftsmanship

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

Pragmatism

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

Curiosity

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

Low ego

Celebrates team wins. Admits mistakes. Asks for help.

Nice

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

What We Value in Candidates

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

Strong signals: - 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, not just the data layer — the whole system - AI tool fluency in practice: you use these tools daily, you know where they're good, and you can show us how - Outcomes over activities: "reduced X by Y%" lands better than "built system using Z" - Comfort with ambiguity: can navigate and make decisions without a complete spec

Candidates from enterprise environments, startups, and non-traditional paths have all succeeded in roles like this one. The common thread is the quality and range of the work, not where it was done.

The Real Picture

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

What it gives you: Clinical and claims data at a scale that would take a startup year to build through partnerships. The ability to test with real people from day one. Deep domain colleagues — clinicians, actuaries, operations and compliance experts — whose knowledge makes your products better. No fundraising cycle. No runway.

What it requires: Some decisions take longer than they would at a startup. Shipping in a clinical environment involves compliance review that doesn't exist in consumer software. We've structured the team to minimize that overhead — and we'll be direct with you about where it still shows up.

This probably isn't the right fit if you're optimizing early-stage equity upside or pure startup velocity. It is likely if you want to build AI products that reach real people and have the data and distribution to matter from day one.

Desired Skills (Indicative, Not Exhaustive)

Experience:

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.

Behavioural

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.

Education Requirements

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.

Work Hours:

2.30PM IST to 11.30PM IST

Equal Opportunity Statement

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.

About Evernorth Health Services

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.

Why this result? · Employer labels

Keywords also found in description

Data & Analytics
Full time
Regular

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