Microsoft is looking to advance its mission to empower every individual and organization by developing and integrating cutting-edge AI technologies into its products and services. The company aims to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes, addressing complex problems and influencing product direction and customer experience.
Requirements
- 1+ years of experience with generative AI OR LLM/ML algorithms
- Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.
- Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow)
- Experience developing and deploying live production systems one or more of the following: C-Sharp, Java, React/Angular, TypeScript.
- Experience with design and implementation of enterprise-scale services
- 1+ years of experience publishing in peer-reviewed venues or filing patents
- 1+ years of experience working with Generative AI models and ML stacks
Responsibilities
- Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.
- Fine-tune foundation models using domain-specific datasets.
- Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.
- Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, and support MLOps/AIOps.
- Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.
- Ability to use data to identify gaps in AI quality, uncover insights, and implement PoCs to show proof of concepts.
- Design, develop, and integrate generative AI solutions using foundation models and more.
Other
- 3 days / week in-office
- 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.
- Demonstrate a growth mindset and customer empathy.
- a deep understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks—including XPIA (Cross-Prompt Injection Attack) unfairness, bias, and privacy concerns—to ensure equitable and responsible outcomes.
