Senior AI Engineer

Design, build, and operate AI-enabled workflows and automation solutions end to end in a Sacramento, CA onsite role.

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; support deployment and operational adoption
• Evaluate use cases and produce proofs of concept for AI-enabled workflows and automation/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 following enterprise architecture, security, data-validation, and engineering standards
• Lead the enterprise AI and automation roadmap aligned to organizational objectives, covering discovery, requirements gathering, design, development, testing, deployment, and ongoing support
• Document reusable components, implementation patterns, and lessons learned from automation initiatives
• Develop and maintain production-ready code, configurations, and technical documentation using established engineering practices, version control, peer review, and change management
• Create test strategies, evaluation datasets, and automated validation frameworks to measure 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
• Set up monitoring, logging, alerting, and operational support, including dashboards, runbooks, incident procedures, and production support activities
• Support pilots, production readiness reviews, deployments, and post-release validation for operational adoption
• Evaluate AI-enabled workflows/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; promote engineering best practices to improve quality and delivery effectiveness
• Comply with regulatory compliance and assigned training requirements, including BSA regulations corresponding to specific job duties
• Perform other duties as assigned

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 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, and enterprise/application 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
• 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

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, Schedule, and Pay

• Location: Sacramento, CA (onsite)
• Schedule: 40 hours per week
• Pay range: $112,185.00 - $179,496.00 per year