Job description

Overview Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the transformation of Microsoft’s commercial business into a frontier organization. We bring together AI‑native engineering, modern platforms, and deep commercial insight to reimagine how work gets done - at scale and with impact. Our mission is to unlock new ways of operating through intelligent systems while creating the conditions for our teams to do the most meaningful work of their careers. If you’re excited to build, experiment, and shape the future of commercial execution with AI at the core, we invite you to apply. Within this context, the Scale and Partner AI Experiences (SPAI) organization is at the forefront of transforming Microsoft’s sales ecosystem through AI-first innovation. Our mission is to build intelligent, scalable platforms that power partner and customer success, accelerating Microsoft’s commercial growth through modern, AI-driven experiences. As a Senior Software Engineer (Agentic AI) , you will design and ship core components of the agentic sales platform that field sellers and partner teams rely on daily. You own features end to end, from prototype to production, working across orchestration, grounding, evals, observability, and the SDK surfaces other engineers build on. You take real ownership of what you ship, help raise the bar for how agents are built and evaluated on the team, and grow your influence as you go. This role is for an engineer with a strong bias for action who already builds with Claude Code, Codex, MCP, or open-source agent stacks, and who follows the frontier closely. If that's you, this role gives you the surface area to do it at a global scale. Responsibilities • Design and build major components of our agentic sales platform: orchestration, tools and skills, grounding, evals and observability, and model routing. • Own components end to end, from prototype to production, including the harder judgment calls within your area. • Partner with AI Foundry, Microsoft Research, Substrate, and the Copilot organization to use shared primitives like agent SDKs, eval harnesses, content safety, and telemetry. • Contribute to the eval and Responsible AI bar for shipping agents in the Sales surface, with a focus on production-grade quality. • Help raise the agent-engineering bar through code review, design review, and mentoring peers. • Bring strong agentic patterns into the team's work and share what you learn. 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. Preferred Qualifications • BS in CS or equivalent + 5+ years of software engineering (or MS + 3 / PhD + 1). • Experience with at least one of C#, TypeScript, Python; comfortable across all three. • Demonstrated ability to own and ship significant features or architectural components end to end. • 1+ year shipping LLM-based or agent-based systems in production, including hands-on experience with evals, observability, and debugging. • Production experience with one or more major agent stacks such as Microsoft 365 Agents SDK, AutoGen, Magentic-One, LangGraph, OpenAI Agents SDK, Anthropic SDK with MCP, or Semantic Kernel. • Collaboration across teams: you can align with partners and move work forward together. • Proficiency in AI-native development working within Agent Harnesses (GitHub Copilot CLI, Coding Agents), authoring Markdown specs/ADRs and YAML configs as Agent-consumable inputs, orchestrating multi-step Agentic workflows across the SDLC, and reviewing Agent-generated code and PRs with production-grade rigor. • Experience shipping quickly with agentic tools. • Public artifacts that show how you build with agents, such as shipped side projects, open-source contributions, technical writing, or talks. • Experience standing up evals or observability for non-deterministic systems. • Experience contributing to the safety posture of a multi-tenant system, including prompt-injection defenses and audit trails. 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: careers.microsoft.com 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.

Requirements

Must-haves

Design and build major components of our agentic sales platform: orchestration, tools and skills, grounding, evals and observability, and model routing.
Own components end to end, from prototype to production, including the harder judgment calls within your area.
Partner with AI Foundry, Microsoft Research, Substrate, and the Copilot organization to use shared primitives like agent SDKs, eval harnesses, content safety, and telemetry.
Contribute to the eval and Responsible AI bar for shipping agents in the Sales surface, with a focus on production-grade quality.
Help raise the agent-engineering bar through code review, design review, and mentoring peers.
Bring strong agentic patterns into the team's work and share what you learn.
Required/minimum qualifications
BS in CS or equivalent + 5+ years of software engineering (or MS + 3 / PhD + 1).
1+ year shipping LLM-based or agent-based systems in production, including hands-on experience with evals, observability, and debugging.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Nice-to-haves

Experience with at least one of C#, TypeScript, Python; comfortable across all three.
Demonstrated ability to own and ship significant features or architectural components end to end.
Production experience with one or more major agent stacks such as Microsoft 365 Agents SDK, AutoGen, Magentic-One, LangGraph, OpenAI Agents SDK, Anthropic SDK with MCP, or Semantic Kernel.
Collaboration across teams: you can align with partners and move work forward together.
Experience shipping quickly with agentic tools.
Public artifacts that show how you build with agents, such as shipped side projects, open-source contributions, technical writing, or talks.
Experience standing up evals or observability for non-deterministic systems.
Experience contributing to the safety posture of a multi-tenant system, including prompt-injection defenses and audit trails.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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