The system will continuously capture customer evidence, prioritize and triage it, create and run evaluation assets, attribute quality losses, report outcomes, and drive measurable customer impact. This role requires both systems depth and product judgment. The ideal candidate builds for rapid innovation and reuse without sacrificing interoperability, traceability, privacy, scientific rigor, or human control at consequential decision points.
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 drive the end-to-end CADET architecture, integration contracts, and technical execution for the customer-signal and evaluation system, spanning capture, enrichment, prioritization, triage, asset generation, execution, diagnosis, reporting, and retention. Resolve architectural ambiguity, accelerate delivery, and create reusable capabilities across partner teams while retaining accountability for CADET-specific workflows, interfaces, and system behavior and reusing shared platform capabilities.
Create scalable services and pipelines that reproduce customer pain points across scenarios, business segments, and interventions through automated grounding-data generation, intent classification, deduplication, clustering, taxonomy assignment, coverage analysis, loss-pattern detection, and work-item routing.
Automate recurring evaluation execution and quality gates for top intents and customers, including scheduling, versioning, reproducibility, failure handling, and result publication.
Establish data contracts and extensible schemas for customer signals, workflows, evaluation cases, rubrics, graders, runs, results, attribution, and regression assets.
Develop quality-attribution workflows that combine automated diagnosis with human review; route losses to the appropriate product, data, model, tool, orchestration, or evaluation owner; track remediation; add regression protection; and verify improvement in customer outcomes.
Create observability and benchmarks for pipeline health, agent behavior, data quality, grader health, coverage, cost, latency, operational reliability, and regression detection across CADET workflows and tooling.
Design safe human-in-the-loop gates for ambiguous data, sensitive customer evidence, taxonomy changes, evaluation publication, and consequential quality decisions.
Mentor engineers across the team and raise engineering quality through clear interfaces, testing, security, operational discipline, and technical documentation.
Qualifications
Required Qualifications
Bachelor'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 equivalent experience.
Preferred Qualifications
Extensive experience designing and delivering large-scale distributed systems, data platforms, developer platforms, or AI infrastructure in production, with practical exposure to large language model technologies, agent systems, or AI/ML platforms.
Demonstrated principal-level technical leadership across teams and organizational boundaries.
Solid understanding of security, privacy, data governance, and responsible engineering for sensitive data.
Excellent communication and collaboration skills with the ability to influence senior engineering, science, and product leaders.
Experience building AI/ML platforms, LLM or agent systems, evaluation infrastructure, experimentation systems, or model pipelines.
Experience with retrieval, tool-using agents, prompt and rubric management, human-in-the-loop systems, or automated diagnosis.
Experience building data and workflow platforms that combine batch, streaming, unstructured, and human-generated inputs.
Experience with RLEs, synthetic environments, post-training pipelines, or large-scale evaluation execution.
Experience integrating customer feedback, product telemetry, and engineering work-management systems.
Experience operating high-availability services and driving platform adoption across multiple product teams, with knowledge of competing AI models, platforms, and developer ecosystems and the ability to apply relevant external advances to Microsoft’s evaluation and quality systems.
#cadets
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 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.
