AI & Automation Engineer
Team: Information Technology
Location: Remote
Commitment: Full-Time
Workplace Type: remote
You will manage:
- AI Solution Development
- 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
- Automation & Integration
- 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
- Performance & Governance
- 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
- Collaboration & Innovation
- 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
You have:
- 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
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