Principal Architect - AI Product Engineering
New
3
3CloudAI Product Engineering
Remote - USFull-TimePrincipal
Salary$158,200 — $217,300 USD
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Job Details
- Experience
- 12+ years in software engineering or application development, with 5+ years in architecture leadership roles
- Required Skills
- C#.NETDatabricksGenerative AILangChain
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 12+ years in software engineering or application development, with 5+ years in architecture leadership roles.
- Experience delivering complex, cloud-native, AI-driven applications from concept to production.
- Experience with Azure AI, Azure OpenAI, Databricks, ML/data pipelines, and scalable data systems.
- Expertise in agentic AI frameworks such as Semantic Kernel or LangChain.
- Ability to architect solutions using vector databases, hybrid search, and RAG optimization techniques.
- Proficiency in building evaluation pipelines, telemetry, and guardrails for LLM deployment.
- Expertise in API-driven, microservices-based, and containerized architectures on Azure, including C# and .NET.
- Strong knowledge of DevOps, CI/CD, IaC, and modern development workflows.
- Experience aligning technical architecture with business outcomes for executive-level strategy.
- Azure Solutions Architect, Azure AI Engineer, or Databricks certifications are highly valued.
Responsibilities
- Lead cross-functional engineering and architecture teams in the end-to-end delivery of complex AI systems, ensuring technical excellence and delivery quality.
- Define and enforce reference architectures, technical patterns, delivery standards, and accelerators for enterprise AI adoption.
- Provide senior-level architectural oversight on programs, guiding the design of advanced, distributed, AI-powered applications across multi-system enterprise environments.
- Drive the integration of modern AI capabilities—such as generative AI, intelligent/agentic systems, and Model Context Protocol (MCP)—into production-ready software.
- Serve as a trusted technical advisor to executive stakeholders (CIO, CTO, CDO), helping them define enterprise AI strategies and prioritize high-value opportunities.
- Oversee a portfolio of large-scale AI delivery programs, ensuring architectural integrity, risk mitigation, and alignment with client strategy.
- Mentor senior architects, tech leads, and engineers, raising the overall technical bar of the practice.
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