Design, build, and maintain AI assistants and copilots for HR, Finance, Operations, and other business units
Develop custom AI agents for task automation using APIs, middleware, and modern AI frameworks
Implement prompt engineering strategies and agentic design patterns for optimal AI performance
Integrate generative AI capabilities into service desk ticketing, employee onboarding, and knowledge base systems
Create end-to-end automated workflows that reduce manual tasks and improve efficiency
Build and maintain integrations between AI platforms and corporate systems (Okta, HRIS, ticketing, collaboration tools)
Develop APIs and middleware solutions to enable seamless data flow between systems
Design scalable automation architectures that can grow with organizational needs
Measure and report on automation ROI, adoption metrics, and user satisfaction
Partner with IT Operations and Security teams to ensure compliant, secure AI deployments
Establish best practices for AI governance, data privacy, and ethical AI use
Continuously optimize existing automations based on usage patterns and feedback
Work cross-functionally with department leaders to identify automation opportunities
Document AI solutions, workflows, and technical specifications
Stay current with emerging AI technologies and automation platforms
Provide guidance and training to teams adopting AI-assisted workflows

1-2 years of hands-on experience with AI platforms (OpenAI, Anthropic, Google AI, Azure OpenAI, or similar)
3-5 years of experience in workflow automation, process automation, or data engineering
Proven track record of building and deploying production automation solutions
AI & LLMs: Practical experience with large language models, prompt engineering, RAG (Retrieval-Augmented Generation), and agentic AI patterns
Programming: Proficiency in Python, JavaScript, or TypeScript for automation and integration development
Automation Platforms: Hands-on experience with workflow automation tools such as Okta Workflows, Zapier, Make.com, n8n, or similar platforms
API Development: Strong understanding of RESTful APIs, webhooks, and API integration patterns
Tools: Experience with Postman, version control (Git), and modern development workflows
Experience with enterprise AI platforms (Microsoft Copilot Studio, Salesforce Einstein, ServiceNow AI)
Familiarity with vector databases and semantic search technologies
Knowledge of identity and access management systems (Okta, Azure AD)
Experience with cloud platforms (AWS, Azure, GCP) and serverless architectures
Understanding of IT security and compliance frameworks
Background in DevOps practices and CI/CD pipelines
Experience with data visualization and reporting tools

AI & Automation Engineer

Key skills