Product Architect – Enterprise Analytics Services Position Summary Technical architecture leader for a product squad responsible for translating product vision into executable architecture and production software. Build the Future of Enterprise Analytics Qualitrol's Enterprise Analytics Services organization develops AI-native, cloud-agnostic enterprise software that powers advanced analytics for critical electrical infrastructure. Engineers follow a Specification-Driven Agentic SDLC, collaborating with AI throughout architecture, implementation, testing, documentation, and validation while retaining full engineering accountability. Mission Lead architecture for one Enterprise Analytics product domain while mentoring engineers and ensuring alignment with QualCore platform standards. Areas of Stewardship Own product architecture and technical roadmap. Lead specification reviews and architectural decisions. Use AI-assisted engineering tools to accelerate production-quality software delivery while maintaining human accountability. Drive platform reuse and API-first design. Coach Product Engineers and partner with QA and Product Owners. What You'll Bring 8+ years in enterprise software engineering with architecture experience, C#/.NET, C++, distributed systems, Kubernetes, cloud-native development, cybersecurity, observability, Agile/SAFe, and specification-driven AI-first engineering. Ways of Working Work within Agile Scrum teams using SAFe 6.0 principles. Collaborate daily with Product Owners, Quality Assurance, fellow engineers, and AI agents to deliver secure, observable, cloud-agnostic enterprise software from a common code base. Engineering Principles Own products, not features. Begin with specifications, not code. AI accelerates engineering; accountability remains human. Architecture is everyone's responsibility. Design once. Deploy anywhere. Security is a design requirement. Observability is a product capability. Optimize for customer outcomes. Why Join Us Help build one of the industry's most ambitious enterprise analytics platforms for critical infrastructure while shaping the future of AI-Native Product Engineering. #LI-MG1
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