AI Workflow Architect

Jobtailor

Reno (NV)

On-site

USD 110,000 - 170,000

Full time

14 days+

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

Ormat is seeking a skilled AI Engineer to design, build, test, and deploy multi-step AI agents and automated workflows that solve business problems and boost operational efficiency.

You will partner with business users to prototype solutions, gather feedback, connect AI to internal data and platforms, and document designs for reusable, scalable delivery.

Qualifications

Demonstrated experience building AI agents, automations, GenAI applications, or workflow-based technical solutions; portfolio preferred.
Hands-on fluency with at least one modern agent, automation, or low-code/no-code platform such as Power Automate, Copilot Studio, LangChain, OpenAI AgentKit, n8n, Make.
Working understanding of prompt engineering, retrieval-augmented generation, agent orchestration, and responsible AI practices.

Responsibilities

Design, build, test, and deploy multi-step AI agents, copilots, and automated workflows that solve business problems and improve operational efficiency.
Work directly with business users to understand workflow needs, prototype solutions quickly, gather feedback, and iterate until usable.
Connect AI solutions to internal data, documents, and platforms including Microsoft 365, SharePoint, databases, APIs, and other systems.
Document solution design, build standards, reusable patterns, and handoff notes for long-term maintainability.
Partner with IT, Data, security, and stakeholders to transition production-ready solutions into governance and support models.
Support AI enablement efforts, contribute to reusable solution libraries, and stay current on emerging AI tools relevant to Ormat’s environment.

Skills

AI Agent Development

Automation Solutions

GenAI Applications

Workflow Design

Prompt Engineering

Education

Bachelor's degree in information systems, computer science, business analytics, engineering, operations, or a related field

Tools

Microsoft Power Automate

Copilot Studio

LangChain

OpenAI AgentKit

n8n

Make

Job description

• Design, build, test, and deploy multi-step AI agents, copilots, and automated workflows that solve defined business problems and improve operational efficiency.
• Work directly with business users to understand workflow needs, prototype solutions quickly, gather feedback, and iterate until solutions are practical and usable.
• Connect AI solutions to internal data, documents, and platforms, including Microsoft 365, SharePoint, databases, APIs, and other approved business systems.
• Apply prompt engineering, retrieval-augmented generation concepts, and agent orchestration techniques to create reliable and well-structured AI-enabled workflows.
• Document solution design, build standards, reusable patterns, handoff notes, and support requirements to enable repeatable delivery and long-term maintainability.
• Partner with IT, Data, security, and business stakeholders to transition production-ready solutions into appropriate infrastructure, monitoring, governance, and support models.
• Support internal AI enablement efforts, contribute to reusable solution libraries and standards, participate in AI Leads or cross-functional working groups as needed, and remain current on emerging AI, automation, and productivity tools relevant to Ormat’s business environment.

Requirements

Bachelor’s degree in information systems, computer science, business analytics, engineering, operations, or a related field preferred; equivalent practical experience may be considered.
Demonstrated experience building AI agents, automations, GenAI applications, or workflow-based technical solutions; a portfolio of shipped or adopted solutions is strongly preferred.
Hands-on fluency with at least one modern agent, automation, or low-code/no-code platform such as Microsoft Power Automate, Copilot Studio, LangChain, OpenAI AgentKit, n8n, Make, or similar tools.
Working understanding of prompt engineering, retrieval-augmented generation, agent orchestration, workflow design, and responsible AI practices.
Ability to connect technology solutions to business needs, break complex processes into clear steps, and design reliable user-centered workflows.
Strong communication skills and comfort working directly with business users, technical partners, and cross-functional stakeholders in a fast-moving environment.

Core Competencies

Demonstrates expertise in designing and deploying AI agents and automated workflows, with a strong focus on connecting technology solutions to business needs and ensuring user-centered design. Proficient in prompt engineering and utilizing low-code/no-code platforms to enhance operational efficiency.

Highest-signal resume keywords