Microsoft's CoreAI is looking to lead complex deployments of frontier models and AI Foundry in production, and needs a Software Engineer 2 to own technical delivery across multiple deployments and drive clarity across internal and external teams.
Requirements
- Coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
- 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.
- 3+ years of experience in engineering, solution architecture, customer engineering or related roles in the AI, ML, cloud or enterprise software space.
- Experience with full-stack systems and delivery of customer value
- Ability to work with cloud platforms and API security deployment best practices
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
- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience
- Ability to meet Microsoft, customer and/or government security screening requirements
- 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.
