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Senior AI Engineer
SchoolsFirst Federal Credit UnionPosted 10/19/2026full-timeSacramento • California • United StatesSenior💰 $112,185 - $179,496 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AI-enabled workflows and automation solutions, with a strong focus on governance, testing standards, and production readiness. Proficient in evaluating AI technologies and mentoring team members while ensuring compliance with security and regulatory standards.
Highest-signal resume keywords
AI-Enabled Workflow DesignRobotic Process Automation (RPA)Microsoft Certified: Azure Solutions Architect ExpertPython ProgrammingGenerative AI and Machine Learning
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, develop and support AI-enabled workflows, automation and agentic solutions
- Translate business requirements into scalable technical capabilities
- Build integrations and workflows and implement governance and testing standards
- Evaluate and build proofs of concept and proofs of value for AI-enabled solutions
- Design, configure and implement agents, prompts, RAG, human-in-the-loop controls, tools and integrations across stand-alone and RPA workflows
- Develop and execute the enterprise AI and automation roadmap
- Lead automation initiatives through discovery, requirements gathering, design, development, testing, deployment and ongoing support
- Develop and maintain production-ready code, configurations and technical documentation
- Apply engineering, version control, peer review and change management practices
- Develop test strategies, evaluation datasets and automated validation frameworks
- Implement AI and automation security, data access, identity and governance controls with Architecture, Information Security and Data teams
- Establish monitoring, logging, alerting and operational support processes, including dashboards, runbooks, incident procedures and production support
- Support pilots, production readiness reviews, deployments and post-release validation
- Evaluate AI, automation and agentic technologies and recommend platform, vendor and solution approaches
- Mentor less-experienced team members and participate in technical reviews
- Perform other duties as assigned
Requirements
What you’ll need- High School Diploma or GED required
- Bachelor's Degree in a related field or equivalent years of experience required
- 5-7 years of prior relevant experience required
- Microsoft Certified: Azure Solutions Architect Expert preferred
- Microsoft Certified: Agentic AI Business Solutions Architect Expert (AB-100 or equivalent) preferred
- UiPath Automation Solution Architect Professional / Agentic Automation Professional preferred
- AWS Solutions Architect Professional and/or AWS Certified Generative AI Developer – Professional preferred
- Demonstrated experience in traditional artificial intelligence (AI), machine learning (ML), generative AI and agentic AI, including core concepts, hands-on development, implementation and production deployment
- Advanced knowledge of intelligent automation and robotic process automation (RPA) platforms
- Experience with Microsoft Power Platform, Power Automate, UiPath, Automation Anywhere or similar workflow automation, low-code and agent framework technologies
- Knowledge of generative AI, large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), tool calling, agent workflows and AI-enabled workflow design
- Experience with AI platforms such as Azure AI Services, Azure OpenAI, Copilot Studio, AWS AI/ML or Google AI technologies
- Proficiency in Python, SQL, APIs, authentication, data integration, enterprise applications and systems integration methodologies
- Understanding of cloud computing technologies and enterprise architecture principles
- Knowledge of the software development lifecycle, testing methodologies, version control, DevOps, CI/CD and release management
- Understanding of logging, observability, incident management and production support practices
- Experience evaluating AI solutions for accuracy, reliability, latency and failure modes
- Working knowledge of secure AI patterns, including data access, least privilege and tool-use controls
- Comply with regulatory compliance and assigned training requirements including BSA regulations
- This organization participates 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
AI DevelopmentMachine LearningGenerative AIData IntegrationVersion ControlTesting MethodologiesCloud ComputingAPIsSQLEnterprise Architecture
Soft Skills
MentoringCollaborationProblem-SolvingCommunicationLeadership
Tools & Technologies
Microsoft Power PlatformUiPathAutomation AnywhereAzure AI ServicesAWS AI/MLGoogle AI TechnologiesPower AutomateCopilot StudioRPA FrameworksIncident Management Tools
Certifications & Qualifications
Microsoft Certified: Azure Solutions Architect ExpertMicrosoft Certified: Agentic AI Business Solutions Architect ExpertUiPath Automation Solution Architect ProfessionalAWS Solutions Architect ProfessionalAWS Certified Generative AI Developer – Professional
Industry Keywords
Artificial IntelligenceIntelligent AutomationRegulatory ComplianceData GovernanceProduction SupportChange ManagementObservabilityIncident ProceduresE-VerifyBSA Regulations