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SchoolsFirst Federal Credit Union
SchoolsFirst Federal Credit Union
1 001 – 5 000 Darbuotojai
SchoolsFirst Federal Credit Union is a financial institution founded in 1934. This company profile provides a starting point for exploring its organization and career opportunities; the supplied information does not specify its products, team, or current hiring activity.
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Darbai įmonėje

Lead AI Solutions Architect and Engineer — SchoolsFirst Federal Credit Union (Hybrid, Sacramento, CA)

Lead enterprise AI architecture and engineering for SchoolsFirst Federal Credit Union, building automation, RAG, and agentic solutions. Oversee integrations, production delivery, governance, and engineering standards.

USJungtinės ValstijosCAKalifornija
129 880 $ – 214 303 $ / metai
HibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųSprendimų inžinierius
AWSAzureDebesijaRPA

Aprašymas

  • Lead the design, delivery, and ongoing improvement of complex AI, automation, and agentic solutions
  • Set technical standards and lead integrations across the enterprise
  • Guide solutions from implementation to production and mentor engineering teams
  • Oversee the design, development, integration, testing, deployment, and operation of AI-enabled workflows, solutions, agents, and shared platform capabilities
  • Manage technical delivery from proof of concept through production launch and ongoing support
  • Develop reusable examples, components, and engineering patterns for knowledge assistants, RAG solutions, agents, tool and API integrations, human review controls, and citizen developer capabilities
  • Set how RPA workflows and AI agents fit within the enterprise architecture
  • Lead integrations among enterprise applications, data services, APIs, and approved AI and orchestration platforms
  • Set engineering practices for version control, CI/CD, evaluation frameworks, regression testing, and release management
  • Define and verify requirements for reliability, scalability, performance, observability, auditability, and supportability
  • Implement data access, identity, least-privilege, and governance controls with Architecture, Information Security, and Data teams
  • Lead technical design, code, testing, and production-readiness reviews; resolve complex implementation issues and provide escalation support
  • Set up monitoring, logging, alerts, operational dashboards, runbooks, and incident response procedures
  • Assess AI, automation, and agentic technologies through technical proofs of value and recommend platforms, vendors, and solutions
  • Advise on emerging AI, automation, and digital transformation technologies
  • Coordinate delivery across teams and encourage reusable engineering practices
  • Take on other duties as assigned
  • Meet regulatory compliance and assigned training requirements

Reikalavimai

  • High school diploma or GED required
  • Bachelor’s degree in a related field or equivalent years of experience required
  • 7–10 years of relevant experience required
  • Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) preferred
  • Microsoft Certified: Machine Learning Operations Engineer Associate (AI-300) preferred
  • Microsoft Certified: AI Agent Builder Associate (AB-620) preferred
  • AWS Certified Generative AI Developer – Professional preferred
  • Hands-on experience designing, implementing, and deploying traditional AI, machine learning, generative AI, and agentic AI solutions to production
  • Advanced knowledge of enterprise solution architecture, cloud platforms, systems integration, and distributed application design
  • Expertise in API-driven, event-driven, and AI-enabled solutions
  • Advanced knowledge of generative AI, large language models (LLMs), retrieval-augmented generation (RAG), AI agents, intelligent automation, robotic process automation (RPA), orchestration platforms, and low-code development technologies
  • Knowledge of identity and access management, security architecture, data governance, privacy requirements, and zero-trust principles
  • Knowledge of enterprise data architecture, integration patterns, observability frameworks, and operational support
  • Ability to assess technologies, vendors, and architectural approaches
  • Ability to establish technical standards, reference architectures, design patterns, and governance practices
  • Ability to lead cross-functional solution design and explain complex architectural concepts and tradeoffs
  • Ability to meet regulatory requirements and assigned training, including BSA regulations
  • Authorization to work implied by participation in E-Verify

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