Senior AI Engineer

SchoolsFirst FCU; Sacramento (CA); Presencial; USD 112.000 - 179.000; Jornada completa

Descripción de la vacante

SchoolsFirst FCU in Sacramento, CA is seeking an experienced AI engineer to design, develop, and support AI-enabled workflows and automation solutions from discovery through deployment and operation.

You will build integrations, evaluate proofs of concept, implement governance and testing standards, and support secure, compliant production operations.

This onsite role requires strong Python, SQL, APIs, and cloud architecture skills, with experience in Azure AI Services or similar platforms.

Formación

• Bachelor's Degree in a related field or equivalent years of experience.
• 5-7 years of prior relevant experience.
• Demonstrated experience in traditional AI, ML, generative AI, and agentic AI.
• Knowledge of software development lifecycle, testing, DevOps, CI/CD, and release management.

Responsabilidades

• Design, develop, and support AI-enabled workflows and automation.
• Build integrations and workflows with governance and testing standards.
• Evaluate proofs of concept for AI-enabled workflows.
• Design, configure, and implement AI and automation solutions such as agents, prompts, RAG, and human-in-the-loop controls.
• Implement tools and integrations across stand-alone and RPA workflows using approved platforms.

Conocimientos

AI workflow design

Python

SQL

APIs

Cloud architecture

DevOps/CI-CD

Educación

Bachelor's Degree in related field

Herramientas

Azure OpenAI

UiPath

Automation Anywhere

Copilot Studio

Descripción del empleo

In this onsite role in Sacramento, CA, you will design, develop, and support AI-enabled workflows and automation solutions from discovery through deployment and operational adoption. The work includes building integrations, evaluating proofs of concept, and enabling secure, compliant production operations.

Responsibilities

• Design, develop, and support AI-enabled workflows and solutions, including automation and agentic solutions, by translating business requirements into scalable technical capabilities.
• Build integrations and workflows, implement governance and testing standards, and support successful deployment and operational adoption.
• Evaluate and build proofs of concept for AI-enabled workflows and solutions, including automation and agentic solutions.
• Design, configure, and implement AI and automation solutions such as agents, prompts, retrieval-augmented generation (RAG), and human-in-the-loop controls.
• Implement tools and integrations across stand-alone and RPA workflows using approved platforms while adhering to enterprise architecture, security, data-validation, and engineering standards.
• Lead enterprise AI and automation initiatives aligned with organizational objectives through the full solution lifecycle: discovery, requirements gathering, design, development, testing, deployment, and ongoing support.
• Document reusable components, implementation patterns, and lessons learned.
• Develop and maintain production-ready code, configurations, and technical documentation using established engineering, version control, peer review, and change management practices.
• Create test strategies, evaluation datasets, and automated validation frameworks to support accuracy, reliability, performance, resilience, and responsible use.
• Implement approved AI and automation security, data access, identity, and governance controls in partnership with Architecture, Information Security, and Data teams.
• Establish monitoring, logging, alerting, and operational support processes, including dashboards, runbooks, incident procedures, and production support activities.
• Support pilots, production readiness reviews, deployments, and post-release validation to support operational adoption.
• Evaluate AI-enabled workflows and solutions, automation, and agentic technologies via technical proofs of value, and provide recommendations on platform, vendor, and solution approaches.
• Mentor less-experienced team members, participate in technical reviews, and promote engineering best practices.
• Perform other duties as assigned.
• Comply with regulatory compliance and assigned training requirements, including BSA regulations corresponding to job duties.

Requirements

• 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.
• Demonstrated experience in one or more of: traditional 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.
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• Working knowledge of secure AI patterns, including data access, least privilege, and tool-use controls.

Preferred Certifications

• Microsoft Certified: Azure Solutions Architect Expert.
• Microsoft Certified: Agentic AI Business Solutions Architect Expert (AB-100 or equivalent).
• UiPath Automation Solution Architect Professional / Agentic Automation Professional.
• AWS Solutions Architect Professional and/or AWS Certified Generative AI Developer – Professional.

Technologies

• Python, SQL, APIs
• Microsoft Power Platform, Power Automate
• UiPath, Automation Anywhere
• Retrieval-augmented generation (RAG), LLMs
• Azure AI Services, Azure OpenAI, Copilot Studio
• AWS AI/ML, Google AI technologies
• RPA, DevOps, CI/CD
• E-Verify

Location and Schedule

• Sacramento, CA (onsite)
• 40 scheduled weekly hours

Compensation

• USD 112,185 - 179,496 per year