Jobs in the United States

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Added 8 mins ago
Director - Customer Response Engineering
Trellix
Topeka, KS
Practical use of AI or LLM tools in debugging, triage, or engineering workflows.
Added 11 mins ago
Senior Legal Engineer, CoCounsel FDE
Frisco, TX · NY · Ann Arbor, MI · Eagan, MN
Evaluate AI and LLM solutions for legal use cases, including assessing outputs for legal accuracy, relevance, reliability, and usability.
Added 17 mins ago
Director - Customer Response Engineering
Trellix
Salem, OR
Practical use of AI or LLM tools in debugging, triage, or engineering workflows.
Added 19 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 20 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 24 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 41 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 41 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 44 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 44 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 44 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 44 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 44 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 44 mins ago
Data Platform and Agentic Governance Lead, HR Technology
Meta
New York, NY
Added 44 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 44 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 50 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 58 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 58 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 1 hour 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…

Stellantis

Manager, AI/ML Engineering

Auburn Hills, MI, United States

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Job details

Posting language: English

Original job description

Role Summary:

The Manager of AI/ML Engineering - North America leads a team of AI/ML engineers and delivers alongside them. This is a deliberate player-coach role: you manage, coach, and grow the team and stay hands-on - personally designing, building, and shipping complete production AI/ML solutions, including the user touchpoints and applications on top of them.

You are the delivery anchor for this team: you own the team's commitments and their production health, take the hardest solutions yourself, set the technical bar, and raise the craft of the engineers around you. The role is engineering-first - you lead by building - and balances a team rooted in data science and ML with strong software and solution-delivery depth. The team operates in a global environment and there is functional interaction across regions.

How We Operate:

Our products are owned end-to-end by engineering - from design through production and into maintain-and-optimize. Direction, requirements, and priorities come through our program and product-management partners. This is a deliberate operating model: the role succeeds through strong delivery inside that partnership - shaping requirements, pushing back with evidence, and building trust - not through sole control of product direction. Leaders here own products and stay close to the work; this is not a pass-through people-management position - you are expected to contribute code and solutions directly.

Key Responsibilities:

Team leadership & growth
Lead and manage an AI/ML engineering team of engineers - day-to-day direction, coaching, performance, and career development. Some of these engineers may functionally work on programs outside your direct remit, and you will manage engineers that contribute to your programs from other regions.
Contribute to hiring: interview, raise the bar on engineering craft, and help grow the team through the active pipeline.
Develop engineers toward the full-stack AI/ML profile (data, modeling, services, application layers); mentor through code review and pairing.
Hands-on delivery (player-coach)
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.
Spend a substantial share of your time building and reviewing code - you stay in the work, not just over it.
Design and implement ML models on structured, time-series, and unstructured data; own validation, evaluation, and error analysis on the team's deliverables.
Solution & product delivery -
Own the team's delivery of production AI/ML solutions and their production health end-to-end.
Set and enforce engineering standards - architecture, code review, testing, CI/CD.
Work closely with the dedicated MLOps team and hand off for production release and operation
Build to their readiness standards and gates and route production-driven code changes back through your team.
Cross-functional leadership
Partner with program and product-management teams on scope, priorities, and delivery commitments; communicate progress with evidence.
Operate within a global organization
Coordinate with functional leads and globally dispersed project teams
Build products with global platforms and standards.

Basic Qualifications:

Bachelor's degree in engineering, computer science, applied mathematics, or a related field, or related field.

• A minimum of 10 years in software engineering, including substantial hands-on solution development - services, APIs, and user-facing touchpoints/apps (front-end/full-stack) - and experience leading or coordinating a team of engineers.

• A track record of shipping and operating production software - you have owned systems in production, not just delivered projects - and you remain hands-on today.

• Practical experience delivering ML/AI-powered products.

• Strong Python and common ML libraries; ability to work across data, modeling, and software concerns.

• Cloud (AWS preferred) and modern data/ML platforms (e.g. Databricks/Spark).

Preferred Qualifications:

• Experience building agentic/LLM-based systems and adopting AI-assisted development tooling across a team.

• Automotive, industrial, IoT, or other regulated/embedded-adjacent domain experience; time-series or vehicle data a plus.

• Familiarity with MLOps concepts (CI/CD for ML, model registry, monitoring, retraining).

• Front-end/full-stack delivery experience (dashboards, internal tools, product UIs).

• A track record as a player-coach - leading a team while still contributing code.

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