Jobs in the United States

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Added 9 mins ago
Staff Software ML Engineer, Search Discover Feed Recommendation
Google
Mountain View, CA
Experience building offline and online quality evaluation frameworks for Large Language Models (e.g., LLM-as-a-judge, RLHF, DPO).
Added 51 mins ago
Software Platforms Product Manager Cloud Hybrid California
Cisco
San Jose, CA
…officers, and executive leaders, your work will directly boost developer velocity, optimize cloud spend, and establish Cisco's enterprise standard for trustworthy agentic…
Added 1 hour ago
Cyber Full-Stack Technical Software Engineer
Deloitte
Kansas City, MO
+ Hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
Added 1 hour ago
Sr. Software Engineer - Design and R&D
General Motors LLC
Warren, MI
Partner with data science and AI teams to bring AI/ML and large-language-model (LLM) solutions into production, including data preparation, feature pipelines, inference integrations,…
Added 1 hour ago
Sr. Systems Engineer - Design and R&D
General Motors LLC
Warren, MI
Experience evaluating, integrating, or operationalizing AI/ML services, LLM APIs, or model-driven capabilities in enterprise or production environments, including evaluation, monitoring,…
Added 1 hour ago
Cyber Full Stack Senior Consultant
Deloitte
Kansas City, MO
+ 6 months+ of experience designing or deploying GenAI and/or LLM solutions in a client or production environment.
Added 1 hour ago
Cyber Full Stack Manager
Deloitte
Kansas City, MO
+ 1+ years of experience designing or deploying generative artificial intelligence (AI) or large language model (LLM) solutions in a client or production environment, including experience…
Added 2 hours ago
Cyber Forward Deployed Engineer - Manager
Deloitte
Kansas City, MO
+ 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
Added 2 hours ago
Sr. Manager, AI Solutions Architect, Customer Success
United States - Genesys Cloud Services, Inc.
Virtual Office, TX · Virtual Office, CA · Virtual Office, NC
Strong understanding of LLM-powered applications, conversational AI, AI agents, agentic orchestration, workflow automation, and enterprise AI integration patterns
Added 2 hours ago
FI
Sr Territory Account Manager (Enterprise)
F5, Inc. (United States)
United States
- $132,500 to $198,700 USD / year
· Strong interest in AI, cybersecurity, and emerging enterprise technologies; knowledge of Generative AI and LLM ecosystems is a strong advantage
Added 2 hours ago
FI
Sr Territory Account Manager (Enterprise)
F5, Inc. (United States)
United States
- $132,500 to $198,700 USD / year
Strong interest in AI, cybersecurity, and emerging enterprise technologies; knowledge of Generative AI and LLM ecosystems is a strong advantage
Added 2 hours ago
FI
Principal Territory Account Manager (Financial Services)
F5, Inc. (United States)
United States
- $132,500 to $198,700 USD / year
Strong interest in AI, cybersecurity, and emerging enterprise technologies; knowledge of Generative AI and LLM ecosystems is a strong advantage
Added 2 hours ago
FI
Sr Territory Account Manager (Financial Services)
F5, Inc. (United States)
United States
- $132,500 to $198,700 USD / year
Strong interest in AI, cybersecurity, and emerging enterprise technologies; knowledge of Generative AI and LLM ecosystems is a strong advantage
Added 3 hours ago
VI
Systems AI&T - Satellite Payload STE Engineer
Viasat, Inc.
Tempe, AZ
- $117,500 to $176,500 USD / year
Familiarity with or strong enthusiasm for adopting modern AI tools (such as LLM assistants and generative AI tools) to enhance productivity, optimize workflows, and streamline documentation.
Added 4 hours ago
Manager Knowledge Based Engineering - Supply Chain
Deloitte
Chicago, IL
Added 4 hours ago
Principal Architect - Machine Learning
United Airlines
Chicago, IL
Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them
Added 4 hours ago
Technical Product Manager, Legal AI and Platforms
ServiceNow, Inc.
Chicago, IL
Experience shipping generative or agentic AI features, including LLM behavior, retrieval, and prompt design
Added 4 hours ago
TA
Developer Educator
TypeSafe AI
San Francisco, CA
- $160,000 to $285,000 USD / year
While others chase leaderboards, we’re rebuilding the LLM stack from first principles to make models smarter and also dependable enough to run in production. We’re a small, fast team backed…
Added 4 hours ago
P
Engineering Manager, Security
Perplexity
San Francisco, CA · New York City, NY
- $300,000 to $405,000 USD / year
- Bonus: experience securing AI/ML systems, LLM applications, or autonomous agents, or using AI to scale security operations.
Added 4 hours ago
Principal Machine Learning Engineer
Vail Resorts
UT
Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures.
Added 4 hours ago
AU
Internship - Data Scientist
ASML US, LP. (US30)
Wilton, CT
- $18 to $48 USD / hour
Large language model (LLM) agent (build and evaluate)
Added 4 hours ago
Manager Information Security
DXC Technology
Washington, DC
Practical experience using AI-assisted coding tools and LLM APIs, with an understanding of prompt design, evaluation, and the limits of model output.
Added 4 hours ago
Manager Information Security
DXC Technology
Washington, DC
Practical experience using AI-assisted coding tools and LLM APIs, with an understanding of prompt design, evaluation, and the limits of model output.
Added 5 hours ago
Java Developer, Electronic Equities, Vice President
Citibank, N.A.
United States
We are seeking a highly skilled and experienced Java Developer to join our Equities Electronic Trading team. This is a VP-level position responsible for the design, development, and…
Added 5 hours ago
Special Missions Software Engineer
Booz Allen Hamilton_United States
Fayetteville, NC
As a full stack developer, you can resolve a problem with a complete end-to-end solution in a fast, agile environment. If you’re looking for the chance to not just develop software, but to…

Microsoft

Senior Software Engineer- AI Agents

WA, United States
CA, United States
NY, United States
Redmond, WA, United States
Mountain View, CA, United States
Redmond, United States
Mountain View, United States
New York, United States

$119,800 to $261,000 USD / year

Apply on apply.careers.microsoft.com About employer

Applications open in a new tab.

Job details

Pay: $119,800 to $261,000 USD / year
Apply by: May 8, 2027
Posting language: English
Posted: Nov 9, 2026

Original job description

Overview

The Agent 365 team is building the enterprise platform for managing and governing AI agents at scale. We are looking for a Senior Software Engineer who is passionate about building secure, reliable, and highly scalable distributed systems and helping shape the future of enterprise agent management. Agent 365 brings together agent inventory, identity, ownership, lifecycle management, governance, administrative controls, and integrations across Microsoft's agent ecosystem. Internally, the governance architecture treats agents as governable enterprise actors with explicit identity, ownership, accountability, and standardized lifecycle states, while coordinating with systems including Microsoft Entra and agent platforms. As a Senior Software Engineer, you will own meaningful end-to-end areas of the platform, from architecture and API design through implementation, deployment, observability, and production operations. You will work closely with engineers, product managers, designers, security experts, and partner teams to solve technically challenging problems across organizational and service boundaries. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Own and deliver complex engineering features end to end, from technical design and implementation through validation, deployment, monitoring, and production support.
Design and build secure, scalable, highly available cloud services and APIs supporting Agent 365 management and governance scenarios.
Contribute to capabilities such as agent registry, lifecycle management, identity integration, ownership, governance actions, administrative APIs, and cross-platform orchestration. These are prominent areas in the current Agent 365 governance architecture.
Drive technical design for ambiguous problems, make sound engineering tradeoffs, and turn product requirements into maintainable architectures.
Work across service boundaries and partner teams to define contracts, resolve dependencies, and deliver coherent end-to-end experiences.
Build with security, privacy, compliance, reliability, and operability as core design requirements, rather than treating them as afterthoughts.
Establish strong engineering fundamentals including automated testing, monitoring, telemetry, diagnostics, deployment safety, and incident readiness.
Diagnose complex production issues and drive improvements that prevent recurrence.
Participate actively in design and code reviews and raise the engineering quality bar across the team.
Mentor other engineers through technical guidance, code reviews, design discussions, and hands-on collaboration.
Leverage AI-assisted engineering tools and modern development practices to improve engineering velocity while maintaining a high quality bar.

Qualifications

Required Qualifications:

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
Solid software engineering fundamentals including data structures, algorithms, object-oriented/system design, concurrency, and distributed systems.
Demonstrated experience designing and delivering production-quality services or large-scale software systems.
Solid coding and debugging skills in one or more modern programming languages such as C#, Java, C++, Python, or TypeScript.
Experience designing service APIs and working with distributed systems, cloud architectures, storage, authentication/authorization, or asynchronous workflows.
Solid understanding of software quality practices including testing, telemetry, monitoring, reliability, and operational readiness.
Ability to independently drive technically ambiguous projects from problem definition through production.
Solid collaboration and communication skills, particularly when working across team and organizational boundaries.
Experience building services on Microsoft Azure or another large-scale cloud platform.
Experience with identity, authentication, authorization, policy, governance, or enterprise administration systems.
Experience with Microsoft Entra ID, Microsoft Graph, Microsoft 365, or Power Platform.
Experience designing and operating highly available distributed services at enterprise scale.
Familiarity with AI agents, agentic applications, LLM-based systems, or AI application platforms.
Experience with service-to-service authentication, authorization models, REST APIs, event-driven architectures, and distributed workflow orchestration.
Solid security mindset and experience with threat modeling, least-privilege design, auditing, or compliance-sensitive systems.
Experience driving technical projects involving multiple engineering teams and complex dependencies.

#CAP #Agent365 #A365

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Apply on apply.careers.microsoft.com About employer

More about this job

Skills

API development
Product comprehension
Test automation
Computer science
C
C++
C#
Oracle Java
JavaScript
Python
Debugging
Programming languages
TypeScript
Collaboration
Communication skills
Microsoft Azure
Microsoft 365
Microsoft Power Platform
Workflow
Auditing
Regulatory compliance

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Work requirements

Jobs in the United States