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Lead AI Solutions Architect – Lead AI Engineer
SchoolsFirst Federal Credit UnionPosted 10/19/2026full-timeSacramento • California • United StatesSenior💰 $129,880 - $214,303 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI, automation, and agentic solutions, with a strong focus on enterprise architecture, cloud platforms, and integration patterns. Proven ability to lead cross-functional teams in the design, implementation, and continuous improvement of complex workflows and solutions.
Highest-signal resume keywords
AI Solution DesignEnterprise ArchitectureGenerative AI ExpertiseRobotic Process Automation (RPA)Cloud Platform Integration
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Lead the design, delivery and continuous improvement of complex AI, automation and agentic solutions
- Establish technical standards and drive enterprise integrations
- Guide implementation through production deployment and mentor engineering teams
- Lead design, development, integration, testing, deployment and operation of AI-enabled workflows, solutions, agents and shared platform capabilities
- Own technical delivery from proof of concept through production deployment and ongoing support
- Create reusable reference implementations, components and engineering patterns for knowledge assistants, RAG solutions, agents, tool/API integrations, human-in-the-loop controls and citizen developer capabilities
- Define the role of RPA workflows and AI agents within enterprise architecture
- Lead integrations across enterprise applications, data services, APIs and approved AI/orchestration platforms
- Establish engineering practices for version control, CI/CD, evaluation frameworks, regression testing and release management
- Define and validate nonfunctional requirements including 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
- Establish monitoring, logging, alerting, operational dashboards, runbooks and incident response procedures
- Evaluate AI, automation and agentic technologies through technical proofs of value and recommend platforms, vendors and solutions
- Provide thought leadership on emerging AI, automation and digital transformation technologies
- Coordinate delivery across teams and promote reusable engineering practices
- Perform other duties as assigned
- Comply with regulatory compliance and assigned training requirements
Requirements
What you’ll need- High School Diploma or GED required
- Bachelor's Degree in a related field or equivalent years of experience required
- 7-10 years of prior 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
- Demonstrated experience with traditional artificial intelligence (AI), machine learning (ML), generative AI and agentic AI, including hands-on solution design, implementation and production deployment
- 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 evaluate technologies, vendors and architectural approaches
- Ability to establish technical standards, reference architectures, design patterns and governance practices
- Ability to lead cross-functional solution design efforts and communicate complex architectural concepts and tradeoffs
- Compliance with regulatory requirements and assigned training, including BSA regulations
- Authorization to work implied by participation in E-Verify
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Artificial Intelligence (AI)Machine Learning (ML)Generative AIAPI-Driven SolutionsEvent-Driven SolutionsData GovernanceIdentity and Access ManagementObservability FrameworksTechnical Standards EstablishmentReference Architectures
Soft Skills
Cross-Functional LeadershipComplex Problem SolvingEffective Communication
Tools & Technologies
Azure AIAWS Generative AILow-Code Development TechnologiesOrchestration PlatformsCI/CD Tools
Certifications & Qualifications
Microsoft Certified: Azure AI Apps and Agents Developer AssociateMicrosoft Certified: Machine Learning Operations Engineer AssociateMicrosoft Certified: AI Agent Builder AssociateAWS Certified Generative AI Developer – Professional
Industry Keywords
Regulatory ComplianceZero-Trust PrinciplesOperational SupportDistributed Application DesignHuman-in-the-Loop Controls