Senior Software Engineer Job at Microsoft Corporation (Redmond)

Job Description

As a Senior Software Engineer, you will design and ship core components of the Agentic support platform that Microsoft support relies 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 bias for action who will be responsible for designing, operating, and evolving AI‑driven, end‑to‑end autonomous support workflows that are foundational to Microsoft's next‑generation Support experience. The role sits at the intersection of AI engineering, live‑site operations, compliance, and business transformation, ensuring that AI‑managed support systems are production‑ready, trustworthy, and scalable.

Job Responsibility

Build agentic workflows using frameworks like Azure AI foundry, Microsoft Copilot studio or equivalent
Owning the run‑state reliability of AI‑driven support workflows, including incident response, live‑site health, and continuous tuning
Adapting AI workflows to changing support business policies and operational processes (e.g., SLA calculations, case ownership, escalation models)
Driving customer trust, satisfaction, and sentiment, ensuring AI agents correctly understand intent and guide customers to resolution without degrading experience
Ensuring security, privacy, and responsible AI compliance, including rethinking role-based access control (RBAC), data access, case ownership vs. processing, and data exposure
Defining and implementing observability, monitoring, and intervention mechanisms for multiple AI agents operating concurrently
Partnering across engineering, support business, compliance, and platform teams to establish scalable patterns for AI‑managed support
Contributing to the vision and delivery of a platform that enables citizen developers to safely build AI agents for support workflows with reduced barrier to entry

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
Experience building LLM-powered applications, RAG pipelines, prompt engineering, agent frameworks (Semantic Kernel, LangChain), or fine-tuning with an eye for evaluation, latency, and cost
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 agent-based systems in production, including hands-on experience with evals, observability, and debugging
Experience standing up evals or observability for non-deterministic systems
Experience contributing to the safety posture of AI systems, including prompt-injection defences and audit trails
Ability to own and ship significant features or architectural components end to end
Collaboration across teams: experience aligning with partners and move work forward together

Nice to have

Experience building LLM-powered applications, RAG pipelines, prompt engineering, agent frameworks (Semantic Kernel, LangChain), or fine-tuning with an eye for evaluation, latency, and cost
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 agent-based systems in production, including hands-on experience with evals, observability, and debugging
Experience standing up evals or observability for non-deterministic systems
Experience contributing to the safety posture of AI systems, including prompt-injection defences and audit trails
Ability to own and ship significant features or architectural components end to end
Collaboration across teams: experience aligning with partners and move work forward together

What we offer

Medical, vision, and dental coverage
401(k) retirement plan
Paid time off (PTO)
Employee stock purchase plan
Health savings account (HSA)
Flexible spending accounts (FSA)
Life and disability insurance
Parental leave
Mental health resources
Volunteering paid time off
Microsoft Rewards & discounts
Gym membership discounts
Commuter benefits

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Senior Software Engineer

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