Principal Enterprise Software Engineer
Core
Architect, build, and deploy enterprise-scale agentic AI solutions and intelligent workflows on a next-generation AI platform.
Role type
Principal AI Solutions Engineer (Agentic Systems & Architecture)
Builds
Cloud-native agentic AI systems, orchestrations, reusable skills, and plugins for enterprise process automation.
Domain
Enterprise AI / Agentic Systems / Cloud Architecture
Deliverable
production ML models
Required skills
Agentic system design, LLM application development, Python, Microservices architecture, Cloud platforms (Azure/AWS/GCP), API design, AI governance frameworks, Process automation, Distributed systems, Data pipelines, Vector databases
Preferred skills
Thought leadership in AI strategy, Mentoring engineering teams, Strategic roadmap planning, Emerging AI technology research, POC execution
Technologies
Python, LangChain, LlamaIndex, OpenAI SDK, Anthropic SDK, Azure OpenAI, Azure AI Services, Cosmos DB, Azure Cognitive Search, Vector databases, Knowledge graphs
Responsibilities
Translate business processes into AI use cases using agents and orchestrations; Architect agentic systems with intent-driven decision-making; Lead end-to-end delivery of AI solutions; Mentor teams on AI design patterns and governance; Shape the AI platform roadmap; Build reusable composable skills and plugins; Conduct research on emerging AI technologies and safety patterns.
Seniority
Principal, hands-on IC with strategic leadership
