Jobs in the United States

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Added 1 min ago
Director - Customer Response Engineering
Trellix
Salem, OR
Practical use of AI or LLM tools in debugging, triage, or engineering workflows.
Added 3 mins ago
Senior AI Engineer
Cornell University
Ithaca, NY
Hands‑on experience delivering and operating Generative AI / LLM‑backed applications in production environments, including model orchestration, vector databases, and AI agent frameworks.
Added 4 mins ago
Technical Architect
Cenero Sept 2026
Malvern, PA · NY · Lebanon, NJ · Columbia, MD · Charlotte, NC
Design AI tooling, harnesses, and delivery guardrails, including automated code review and test generation, that remain independent of any single LLM or vendor.
Added 8 mins ago
Manager, AI/ML Engineering
Stellantis
Auburn Hills, MI
Personally own and ship hard solutions end-to-end - data pipelines, model/inference services, agentic/LLM components, APIs, and the user touchpoints (apps, dashboards) on top.
Added 25 mins ago
Senior Data Scientist - GenAI
CVS Health
Remote, United States
2+ years designing, deploying, and optimizing Generative AI, large language model (LLM), retrieval-augmented generation (RAG), agentic AI, or intelligent automation solutions within…
Added 25 mins ago
ZT
2027 Summer Internship (US) - Software/AI Engineer (Handheld Mobile Computers)
Zebra Technologies
Holtsville, NY
- $33 to $40.5 USD / hour
Autonomous Agentic Systems: Architect LLM-powered agents to automate workflow parsing, extract system insights from unstructured data, and auto-validate developer API integrations.
Added 28 mins ago
AE
Sr Agentic AI Engineer - Core Platforms
American Express
New York, NY
- $123,000 to $215,250 USD / year
Strong understanding of AI system architectures including LLM ecosystems, retrieval systems, orchestration frameworks, and evaluation methodologies
Added 28 mins ago
Sr. Principal Scientist, Secure Work Enablement
Amazon
New York, NY
You will liaise with internal Amazon partners and work on bringing state-of-the-art LLM/GenAI models to production. You will stay abreast of the latest developments in the field of GenAI…
Added 28 mins ago
Research Engineer , Quick Science
Amazon
New York, NY
Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
Added 28 mins ago
Markets Sales & Client Strategy analyst
Citigroup
New York, NY
· Hands-on and very proficient with AI and LLM-based tools (e.g., Gemini, Claude, Copilot) to accelerate research, synthesize information, and enhance productivity
Added 28 mins ago
M
Platform Engineering Technology Leader
ManpowerGroup
New York, NY
- $50 to $55 USD / hour
Preferred exposure to AI / GenAI (OpenAI, Copilot, LLM-powered solutions) and SRE / observability practices.
Added 28 mins ago
Data Platform and Agentic Governance Lead, HR Technology
Meta
New York, NY
Added 28 mins ago
Python AI Engineer
EPAM Systems
New York, NY
Experience designing evaluation frameworks for LLM-backed systems, including regression detection and quality measurement
Added 28 mins ago
Product Manager, Connect Deals Seller Experience, Deals and Incentives
Google
New York, NY
Experience integrating generative AI tools or LLM interfaces into workflows.
Added 34 mins ago
Senior QA Engineer - Data And AI
Digital Federal Credit Union
Chelmsford, MA
Experience testing Generative AI and Large Language Model (LLM) based applications using platforms such as OpenAI, Anthropic Claude, Amazon Bedrock, Azure AI, Google Vertex AI, or…
Added 42 mins ago
Principal Engineer, Model Performance
Runware
Remote, United States
…benchmarks that prove them, across image, video, audio, 3D and LLM workloads on every GPU generation we…
Added 42 mins ago
AI/ML Engineering Co-op - Spring 2027
CACI
King of Prussia, PA · King of Prussia
Experience with Large Language Models (LLM), vector databases (e.g. ChromaDB, Weaviate)
Added 55 mins ago
Software Engineer
CoreLogic Solutions, LLC
Dallas, TX
Leverage AI development tools and automation capabilities to improve developer productivity, software quality, and delivery speed.
Added 1 hour ago
IG
AI Software Engineer III Job ID 2488
Insight Global
Farmington Hills, MI
- From $68 USD / hour
A large financial organization is seeking a Senior AI/Python Developer that will sit onsite 4 days a week in Farmington Hills Michigan for a contract role. We are seeking an AI Software…
Added 1 hour ago
Group Product Manager, Data Center Software and Operations
Google
Sunnyvale, CA
…development practices (AI-assisted prototyping, agentic workflows, LLM-powered diagnostics) and delivering measurable operational…
Added 1 hour ago
Senior AI Architect for Business Systems
Trimble Inc.
Westminster, CO
Added 1 hour ago
Senior Product Manager, YouTube Creator Monetization Quality
YouTube
San Bruno, CA
Experience integrating generative AI tools or LLM interfaces into workflows.
Added 1 hour ago
Senior AI Engineer, Release Engineering
Intercontinental Exchange (ICE)
Omaha, NE
In this role, you will build and continuously evolve an internal, AI-powered developer platform. Central to this work is a genuine drive to advance the application of agentic AI frameworks…
Added 1 hour ago
R
AI Enablement Consultant
RGP
Indianapolis, IN
- $90 to $120 USD / hour
Proficiency with LLM tools (ChatGPT, Claude) and finance platforms (SAP, Oracle, Workday Adaptive).
Added 1 hour ago
Associate Director - Medical Omnichannel Web Capabilities
Lilly
Indianapolis, IN
Make sure medical content is structured, modular and tagged so HCPs can find it through search and, responsibly, through AI- and LLM-enabled experiences.

Amazon

Sr. Principal Scientist, Secure Work Enablement

New York, NY, United States

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Job details

Posting language: English
Posted: Feb 12, 2026

Original job description

Description

At Secure Work Enablement (SWE), we're pioneering breakthrough AI technologies that are fundamentally transforming how millions of teams and businesses work. Our mission combines leading machine learning research with Amazon's unparalleled expertise in enterprise computing and security to create the next generation of intelligent workplace solutions.

Our portfolio encompasses four innovative domains where applied AI research is critical: Next-Generation End User Computing, where we're developing novel machine learning models for human-AI collaboration; Amazon One's advanced biometric systems; Secure Collaboration platforms Wickr and Chime; and Gaia – our revolutionary AI-native workspace that's redefining human-AI agent interactions. Each area presents unique opportunities for advancing the state-of-the-art in machine learning, natural language processing, and AI systems.

We're at an inflection point where traditional workplace computing is being revolutionized by AI technologies. Our distinctive challenge lies in solving complex machine learning problems at scale while maintaining strict security requirements – from developing sophisticated ML models for secure information access to creating intelligent systems that can understand and enhance human productivity in real-time.

With an accomplished team of 650+ technologists and multiple tier-1 services, we're seeking a Senior Principal Scientist to spearhead our AI research and development initiatives. This role offers the opportunity to tackle unprecedented challenges in applied machine learning, including:

Developing novel AI architectures for secure, enterprise-grade collaborative systems
Advancing the science of human-AI interaction in workplace environments
Creating new frameworks for AI agent orchestration and optimization
Pioneering new approaches to privacy-preserving machine learning

Your scientific leadership will be crucial in defining and solving complex AI problems that will shape the future of work for years to come, working across multiple research teams and beyond SWE's boundaries.

Key job responsibilities

As a Senior Principal Scientist in Secure Work Enablement (SWE), you will have deep subject matter expertise in the area of large language models and generative AI across various modalities. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable teams and agents to collaborate effectively. You will have the opportunity to invent new approaches that help our customers achieve better results using natural language as the interface. Your inputs will shape the future of work.

You will liaise with internal Amazon partners and work on bringing state-of-the-art LLM/GenAI models to production. You will stay abreast of the latest developments in the field of GenAI and identify opportunities to improve the efficiency and productivity of the team. You will define a long-term science vision for our business, driven by our customer’s needs, and translate it into actionable plans for our team of applied scientists, and engineers. Finally, you will work with academic partners to support our in-house talent with direct access to leading research and mentoring.

Basic Qualifications

Graduate degree in Computer science/Math or related field.
Experience in building complex, real-time systems involving Agentic AI, Personalization and Reinforced Learning with successful delivery to customers. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
Computer Science fundamentals in data structures, algorithm design and complexity analysis.
Ability to develop machine learning platform strategy in the domain of recommender systems.
Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.

Preferred Qualifications

15+ years of relevant, broad research experience after PhD degree or equivalent.
Ability to take a project from requirements gathering and design to actual product launch
Exceptional customer understanding skills including the ability to discover the true challenges to efficient product discovery, and experience in leading science efforts to meet timelines with optimal solutions. Deep expertise in Machine Learning as applied to large-scale generative models Proficiency in programming for algorithm and code reviews.
Strong core competency in mathematics and statistics.
Track record of successful projects in algorithm design and product development.
Publications at top-tier peer-reviewed conferences or journals.
Strong prior experience with mentorship and/or management of senior scientists and engineers.
Thinks strategically, but stays on top of tactical execution.
Exhibits excellent business judgment; balances business, product, and technology very well.
Effective verbal and written communication skills with non-technical and technical audiences. Experience working with real-world data sets and building scalable models from big data.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, NY, New York - 264,100.00 - 350,000.00 USD annually

USA, WA, Seattle - 240,100.00 - 324,800.00 USD annually

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More about this job

Skills

Natural language processing
Leadership
Research
Computer science
Machine learning
Requirements gathering
Customer insight
Statistics
Communication skills
Recruitment
Mental health

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