Principal Software Engineer

Architecture Strategy & Roadmap (Cloud + AI + Agentic) Own the reference architecture and technical roadmap for AI/Agentic platform capabilities (e.g., orchestration, skills, tools/plugins, memory, retrieval, evaluation, observability, governance). Translate Customer Success business objectives into platform investments and architectural decisions, balancing speed-to-value with security, compliance, cost, and long-term maintainability. Establish clear architectural guardrails and decision frameworks (e.g., “build vs. buy,” “Copilot Studio vs. Foundry,” “RAG vs. fine-tune,” “central vs. federated patterns”). Embed Responsible AI principles into agentic solution design (human-in-the-loop, safety mitigations, evaluation, transparency, and auditability). Partner with security and compliance stakeholders to ensure services meet required controls and operational standards, and to drive alignment between policy intent and implementation. Define secure patterns for prompt/data handling, secrets management, identity, and access governance for AI systems. Establish telemetry standards (quality, safety, latency, cost, success metrics) and ensure teams instrument consistently to enable operational excellence at scale. Design for production: rollout/rollback strategies, evaluation gates, and operational playbooks for AI/agent releases. Contribute to internal technical communities through documentation, brown bags, and reusable engineering guidance—amplifying impact through others. Lead architecture/design reviews for major initiatives; drive alignment on system boundaries, contracts, dependency management, and resiliency. Define and standardize architecture patterns (multi-tenant SaaS, event-driven architectures, secure data access, model routing, agent safety controls). Create reusable templates, “golden paths,” and reference implementations to accelerate engineering delivery across teams and reduce fragmentation. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Master's degree in computer science, Engineering or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 10+ experience in software engineering or solution architecture, with demonstrable success building and operating complex systems. 10 + years of full-stack development across frontend, backend, and cloud infrastructure, with a proficient command of data engineering, AI/ML systems, and deployment architectures. Proficient coding skills in C#, Python, JavaScript, and React. Experience designing and shipping AI/ML GenAI solutions, including one or more of: Retrieval-Augmented Generation (RAG), enterprise search, vector retrieval LLM orchestration and agentic workflows AI evaluation/monitoring, safety and quality measurement Experience architecting and delivering cloud-native, distributed systems at scale (multi-service systems, reliability, performance, and operability). Proficient engineering fundamentals and ability to work “hands-on when needed” (prototyping/reference implementations, architectural spike investigations, debugging complex issues). Experience with cross-team influence - driving alignment and execution across multiple disciplines and stakeholders. Experience communicating clearly with technical and non-technical audiences; comfort presenting senior leadership.