Senior AI Engineer

Microsoft

1d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level