AI Solutions Engineer

datadotorg; Los Angeles (CA); On-site; USD 87,000 - 111,000; Full time

Job summary

University community seeks an AI Solutions Engineer to design, develop, and deploy agentic AI-enabled workflows across campus. You will consult with stakeholders to architect scalable, cost-effective solutions and guide teams in implementing automated processes.

Responsibilities include technical design, integration blueprints, and secure implementation using tools like Azure AI Foundry, ServiceNow, and Python-based REST APIs. Collaboration with IT, research, and administration is essential.

Qualifications

• Equivalent to a bachelor’s degree in a related field and four years of relevant experience.
• Additional experience may substitute for required education on a year-for-year basis.
• An advanced degree may substitute for the required experience on a year-for-year basis.

Responsibilities

• Consults independently with campus stakeholders to evaluate opportunities and architect cost-effective, scalable solutions; discerning when to deploy agentic, AI-enabled, or AI-integrated workflow automations to streamline university activities.
• Authors clear technical design write-ups, architectural specifications, integration blueprints, and cost models to secure stakeholder buy-in and funding prior to building proposed solutions.
• Engineers, configures, tests, and deploys context-grounded agentic solutions and AI-integrated workflow solutions.
• Configures robust defense mechanisms, including prompt injection mitigations, abuse guardrails, evaluation frameworks, and human-in-the-loop escalation paths to ensure agentic actions operate safely within institutional boundaries.
• Empowers student team members to participate in stakeholder requirements gathering, rapid proof of concept builds, and pilot testing.
• Performs other duties as assigned.

Skills

AI knowledge

Mentor student developers

Agile software development

Stakeholder communication

Python

REST APIs

Security governance

Education

Bachelor’s degree in a related field

Advanced degree substitution for experience

Bachelor’s degree in Computer Science / CS / IT

Tools

Azure AI Foundry

ServiceNow

Python

REST APIs

Model Context Protocol (MCP)

Vector databases

Job description

In A Nutshell

Location

On Site Los Angeles, CA, United States

Salary

$87,408 to $110,844 / year

Job Type

Full-time

Experience Level

Mid-level

Deadline to apply

November 20, 2026

Under the general supervision of the Assistant Vice President (AVP) of IT and Technology Strategy Officer (TSO), the AI Solutions Engineer serves as a key technical enabler for driving the design, development, and deployment of agentic solutions and AI-integrated workflows across the university community. The incumbent consults independently with campus stakeholders to evaluate opportunities and architect cost-effective, scalable solutions; engineers, configures, tests, and deploys context-grounded agentic solutions and AI-integrated workflow solutions.

Responsibilities

• Consults independently with campus stakeholders to evaluate opportunities and architect cost-effective, scalable solutions; discerning when to deploy agentic, AI-enabled, or AI-integrated workflow automations (such as support agents, research accelerators, or complex administrative process automations) to streamline university activities.


• Authors clear technical design write-ups, architectural specifications, integration blueprints, and cost models to secure stakeholder buy-in and funding prior to building proposed solutions.


• Engineers, configures, tests, and deploys context-grounded agentic solutions and AI-integrated workflow solutions.


• Configures robust defense mechanisms, including prompt injection mitigations, abuse guardrails, evaluation frameworks, and human-in-the-loop escalation paths to ensure agentic actions operate safely within institutional boundaries.


• Empowers student team members to participate in stakeholder requirements gathering, rapid proof of concept (POC) builds, and pilot testing.


• Performs other duties as assigned.

Skillset

Qualifications

• Equivalent to a bachelor’s degree in a related field and four years of relevant experience.


• Additional experience which demonstrates acquired and successfully applied knowledge and abilities shown above may be substituted for the required education on a year-for-year basis.


• An advanced degree in a related field may be substituted for the required experience on a year-for-year basis.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, Information Systems, or a related technical discipline.


• Four (4) years of relevant experience, which includes 2 to 3 years of progressive, hands‑on professional experience working with AI, developing software, scripting, API engineering, or systems integration


• Industry Certifications: Active industry certifications in AI or cloud engineering (e.g., Microsoft Certified: Azure AI Engineer Associate, Azure Fundamentals).


• Higher Ed & Student Leadership: Prior experience leading agile software sprint cycles within higher education IT or supervising student developer teams in an academic setting.

Knowledge, Skills, & Abilities

• Demonstrated ability to assess business requirements, evaluate AI-enabled technologies, and design cost-effective, scalable solutions while communicating technical recommendations, architectural trade-offs, and security considerations to technical and non-technical stakeholders.


• Hands-on experience designing, developing, testing, and deploying secure AI-powered solutions using enterprise platforms such as Azure AI Foundry and ServiceNow, including Python, REST APIs, and Model Context Protocol (MCP), with knowledge of AI security frameworks, risk mitigation, and enterprise integration standards.


• Demonstrated ability to mentor student developers, coordinate agile sprint activities, translate complex project requirements into actionable tasks, and provide technical guidance, code reviews, and quality assurance to ensure solutions meet institutional security, accessibility, and governance standards.


• Knowledge of emerging AI frameworks, agentic technologies, vector databases, and developer platforms, with the ability to research, evaluate, and recommend innovative solutions, collaborate across technical working groups, and contribute to IT planning and continuous technology improvement initiatives.