
Senior Manager β Software Development Engineering, AI
Posted May 15

Posted May 15
This is a fully remote position, open to applicants in Idaho, +2 more states.
β’ Recruit, develop, and maintain a high-performing team of AI and platform engineers.
β’ Take ownership of the AI LaunchPad product and engineering roadmap, balancing immediate delivery obligations with long-term platform scalability.
β’ Provide architectural guidance for agentic AI systems, RAG pipelines, LLM evaluation frameworks, and MLOps infrastructure.
β’ Collaborate with HCD product, data, compliance, security, and business unit leaders to align the AI LaunchPad roadmap with enterprise priorities.
β’ Drive the complete delivery of platform features β from design to production β utilizing Agile/SAFe methodologies.
β’ Assess and manage partnerships with cloud providers (GCP, AWS, Azure) and AI vendors.
β’ Ensure that all AI systems developed on the platform comply with HIPAA, security, and regulatory standards.
β’ Over 7 years of software engineering experience, including more than 3 years in a management or technical leadership role overseeing teams of 4 or more engineers.
β’ Proven experience in architecting and delivering large-scale, enterprise AI/ML or data platforms, ideally serving thousands of users or multiple business units.
β’ Strong technical expertise in modern AI/ML infrastructure: cloud-native architectures (AWS, GCP, or Azure), MLOps, LLM platforms (Bedrock, Vertex AI, or similar), and agentic AI patterns.
β’ Comprehensive full-stack platform engineering experience, including microservices, serverless architectures, API design, authentication/authorization (OAuth, SSO, SAML), and CI/CD.
β’ Demonstrated ability to foster cross-functional alignment among product, engineering, data, security, and business stakeholders.
β’ Experience in defining and monitoring engineering health metrics (DORA, SLOs, incident management) and promoting operational excellence.
β’ Exceptional communication skills, capable of presenting technical roadmaps and trade-offs to both executive audiences and engineering teams.
β’ Medical, dental, and vision coverage.
β’ Paid time off.
β’ Retirement savings options.
β’ Wellness programs.
β’ Additional resources based on eligibility.
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