Senior AI Engineer
at Microsoft
Posted 9 hours ago
No clicks
- Compensation
- $119,800 – $258,000 USD
- City
- San Francisco, New York City
- Country
- United States
Currency: $ (USD)
Senior AI Engineer responsible for designing, prototyping, and implementing AI-powered security experiences and platform components. You will build high-quality systems, ship working code through iterative learning, and collaborate with partner teams to move ideas from concept to production. You will contribute to model-driven features (LLMs, retrieval/RAG, grounding, routing, safety guardrails) and design well-architected services, APIs, and data pipelines. You will work with cross-disciplinary teams to clarify requirements and land technical decisions that scale in Microsoft Security's NEXT initiative.
Security is one of Microsoft’s highest priorities as customers face increasing digital threats, complex estates, and fastmoving regulatory requirements. Microsoft Security delivers endtoend, integrated security solutions that help protect customers around the world.
NEXT is the strategic incubation and arm of Microsoft Security AI (MSECAI), responsible for building the next generation of AInative security capabilities. We translate new AI techniques into working prototypes and partner with product teams to bring them into the Microsoft Security suite.
As a Senior AI Engineer, you will contribute to the design, prototyping, and implementation of AIpowered security experiences and platform components. You will build highquality systems, collaborate closely with partner teams, and help bring ambiguous ideas to clear, functioning solutions.
Responsibilities
Technical Execution & Prototyping
Build and prototype AInative features and system components, with a focus on iterative learning and shipping working code.
Implement wellarchitected services, APIs, evaluation harnesses, and data pipelines that support AIbased security scenarios.
Contribute to modeldriven features, including LLMbased reasoning, retrieval/RAG, grounding, routing, and safety guardrails.
AI Engineering
Design and evaluate ML/AI systems using metrics such as groundedness, precision/recall, latency, and cost.
Apply responsible AI, security, and privacy requirements throughout the development lifecycle.
Work with partners to integrate prototypes into production environments as part of broader engineering efforts.
Collaboration
Work with crossdisciplinary teams (research, PM, engineering) to clarify requirements and land technical decisions.
Participate in design reviews, code reviews, and handson technical discussions.
Contribute to a culture of curiosity, scientific rigor, and customerobsessed problem solving.
Qualifications
Required/minimum 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.
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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- 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.
- 2–3+ years working with ML/AI systems (LLMs/GenAI, RAG, model serving, experimentation, or data pipelines).
- Hands‑on engineering experience building distributed cloud services in Azure
- Familiarity with security domains such as detection/response, SIEM/SOAR, identity, endpoint, or cloud security.
- Experience working with GenAI/LLM techniques: MCP, prompt engineering, retrieval/vector stores, agent/tooling frameworks, content safety, and evaluation platforms.
- Strong coding skills and comfort engaging deeply in design and implementation details.
#MSFT Security
#SentinelPlatform
#NEXTAI #AI #MSEC #MSECAI #SENTINELAI
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 $158,400 - $258,000 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.
