Ai Architect Engineer Jobs

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Today

Lead AI Solutions Architect (Lead AI Engineer)

SchoolsFirst FCU Sacramento, CA

Sacramento, CA

Today

$130k - $214k/yr Full time Agentic Ai Ai Agent Ai Architect

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Job Description

Lead the architecture and delivery of complex AI and automation solutions, from proof of concept to production and continuous improvement.

Responsibilities

Design, deliver, and continuously improve AI, automation, and agentic solutions by setting technical standards and guiding implementation through production deployment.
Lead enterprise integrations that connect AI-enabled workflows, data services, and systems to business capabilities.
Own end-to-end technical delivery for AI and automation initiatives, including proof of concept, production rollout, and ongoing support.
Create reusable reference implementations, components, and engineering patterns for:
- Knowledge assistants
- Retrieval-augmented generation (RAG) solutions
- Agents
- Tool and API integrations
- Human-in-the-loop controls
- Citizen developer capabilities
Define how stand-alone and embedded RPA workflows and AI agents fit into enterprise architecture, and guide engineers on secure, scalable, maintainable designs.
Lead integrations across enterprise applications, data services, APIs, and approved AI and orchestration platforms.
Establish and enhance engineering practices for version control, CI/CD, evaluation frameworks, regression testing, and release management for AI, agent, and workflow solutions.
Define and validate nonfunctional requirements including reliability, scalability, performance, observability, auditability, and supportability.
Implement approved controls for data access, identity, least-privilege, and governance in partnership with Architecture, Information Security, and Data teams.
Lead technical design, code, testing, and production-readiness reviews; resolve complex implementation issues and provide escalation support.
Build operational readiness through monitoring, logging, alerting, operational dashboards, runbooks, and incident response procedures.
Evaluate AI, automation, and agentic technologies using technical proofs of value and provide recommendations on platform, vendor, and solution approaches.
Provide thought leadership on emerging AI, automation, and digital transformation technologies.
Mentor engineers and coordinate delivery across teams while promoting reusable engineering practices that improve quality, consistency, and delivery effectiveness.
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
7-10 years of prior relevant experience required
Demonstrated experience designing, implementing, and deploying in production across one or more areas: traditional AI, ML, generative AI, and agentic AI
Advanced knowledge of enterprise solution architecture, cloud platforms, systems integration, and distributed application design
Demonstrated expertise designing API-driven, event-driven, and AI-enabled solutions that meet enterprise scalability, security, and operational effectiveness needs
Advanced knowledge of generative AI concepts including LLMs, RAG, AI agents, intelligent automation, and RPA platforms, plus orchestration platforms and low-code development technologies
Strong knowledge of IAM, security architecture, data governance and privacy requirements, and zero-trust principles
Knowledge of enterprise data architecture, integration patterns, observability frameworks, and operational support considerations
Ability to evaluate technologies, vendors, and architectural approaches and recommend options that align business needs with enterprise standards
Ability to establish technical standards, reference architectures, design patterns, and governance practices to support consistency, scalability, and maintainability
Ability to lead cross-functional solution design, influence technical decisions, and communicate complex architectural concepts and tradeoffs to technical and business stakeholders

Preferred Certifications

Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103)
Microsoft Certified: Machine Learning Operations Engineer Associate (AI-300)
Microsoft Certified: AI Agent Builder Associate (AB-620)
AWS Certified Generative AI Developer – Professional

Technologies

Retrieval-augmented generation (RAG)
RPA (robotic process automation)
CI/CD
Large language models (LLMs)
Azure AI Apps and Agents Developer Associate (AI-103)
Microsoft Certified: Machine Learning Operations Engineer Associate (AI-300)
AI Agent Builder Associate (AB-620)
AWS Certified Generative AI Developer – Professional
Zero-trust principles

Location and Compensation

Location: Sacramento, CA (onsite)
Salary: USD 129,880 - 214,303 per year

Additional Job Functions

Performs other duties as assigned
Complies with regulatory compliance and assigned training requirements, including but not limited to BSA regulations corresponding to their specific job duties; failure may result in disciplinary and other employment related actions

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