Principal Applied AI Engineer
Microsoft (company site, opens in a new tab)12+ yrsHyderabadOn-siteDirect career pageEst. 45–85 LPA
Posted 22h ago
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Job description
Structured overview of role & requirements
About This Role
- Architect and develop scalable, production-quality agentic AI systems including LLM orchestration, multi-agent workflows, and RAG pipelines.
- Own end-to-end technical delivery from ambiguous customer problems through architecture, implementation, deployment, and operation of secure, reliable AI services.
- Lead technical direction across teams, set architecture and engineering standards, evaluate AI models and frameworks, and drive measurable customer impact through data-informed improvements.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, or related technical field.
- 12+ years professional software engineering experience with production software systems.
- Proficiency in C# and/or Python; experience with distributed systems and cloud-native engineering practices.
- Experience as a technical architect or lead on complex cross-team engineering initiatives involving applied AI or LLM-based systems.
Ideal Candidate Profile
- Experienced in architecting and operating multi-agent orchestration and agentic AI services in production environments.
- Comfortable balancing strategic architecture decisions with hands-on coding and debugging across AI models, prompts, tools and distributed systems.
- Skilled at influencing without authority to align multiple teams, mentoring engineers, and connecting technical work to measurable business and customer support outcomes.