Member of Technical Staff - Responsible AI (coreai)

Microsoft Microsoft · Big Tech · New York, NY +4 · Software Engineering

This role focuses on building and iterating on Responsible AI tools and capabilities to enable developers to build and deploy AI responsibly at scale. It involves prototyping, applying subject-matter expertise, and collaborating across product groups to drive project and release plans. The role emphasizes working in fast-paced, experimental environments and taking ideas from ambiguity to production.

What you'd actually do

  1. Prototype, build, and iterate on new Responsible AI tools and capabilities that make it simple for developers to build and deploy AI responsibly at scale.
  2. Apply subject-matter expertise in cross-product features, collaborating with appropriate stakeholders to drive project plans, release plans, and deliverables across multiple groups.
  3. Proactively seek out new knowledge and adapt to new trends, technical solutions, and patterns that improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale, and share knowledge with other engineers.
  4. Work effectively in a fast-paced product environment where rapid prototyping, tight feedback loops, and iterative learning are core to how we build.

Skills

Required

  • 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.
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Experience working with generative AI systems (e.g., LLMs, diffusion models, multimodal models), including prompt engineering, evaluation, or fine-tuning.
  • Hands-on experience with AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude Code).
  • Familiarity with Responsible AI and security concepts or strong interest in learning them deeply.
  • Experience working in fast-paced, experimental environments (startups, prototypes, or incubation teams).
  • Comfort with taking ideas from ambiguous beginnings to production, iterating fast with customer insights

Nice to have

  • Demonstrated track record of high-impact innovation, open-source contributions or publications.
  • Experience working on safety, alignment, or Responsible AI.
  • 6+ years of technical engineering experience designing and delivering highly available, large-scale cloud services.
  • 4+ years of technical engineering experience with machine learning models.
  • Ability to navigate the company, and influence and inspire peers in engineering and broad product development.

What the JD emphasized

  • build AI responsibly at scale
  • trustworthy AI
  • scale
  • fast-paced product environment
  • rapid prototyping
  • iterative learning

Other signals

  • building AI responsibly
  • trustworthy AI
  • scale