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Software Engineer 2 - CoreAI

Microsoft

$100,600 - $215,400
Dec 24, 2025
Mountain View, CA, US
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CoreAI leads complex deployments of frontier models and AI Foundry in production, embedding with customers where GenAI application performance matters, delivery is urgent, and ambiguity is the default. The job aims to map customer problems, structure delivery, and ship fast by scoping, sequencing, and building full-stack solutions that create measurable value, while also driving clarity across teams and influencing the roadmap with field signals.

Requirements

  • coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
  • 3+ years of experience in engineering, solution architecture, customer engineering or related roles in the AI, ML, cloud or enterprise software space.
  • Understanding of LLM’s, agentic AI frameworks and modern AI infrastructure.
  • Experience working with enterprises or digital native customers to deploy complex scalable and responsible AI solutions.
  • Familiarity with LLM models, cloud platforms (Azure preferred) API security deployment best practices and data architectures.

Responsibilities

  • Own technical delivery across multiple deployments from first prototype to stable production.
  • Build full-stack systems that deliver customer value and sharpen how we learn.
  • Embed closely with customer teams, understand their needs, and guide adoption of what you build.
  • Scope work, sequence delivery, and remove blockers early.
  • Make trade-offs between scope, speed, and quality; adjust plans to protect delivery.
  • Contribute directly to the code when progress or clarity depends on it.
  • Codify working patterns into tools, playbooks, or building blocks that others can use.

Other

  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
  • Stakeholder management and communication skills.
  • Demonstrated ability to operate in ambiguous and cross functional environments.