About the job
The Senior AI & Automation Engineer is a hands-on individual contributor responsible for designing, developing, and deploying advanced AI-driven automation solutions across the enterprise. This role focuses on building intelligent virtual agents, backend automation services, and scalable integrations using modern AI platforms and frameworks.
Responsibilities
• Design, develop, and maintain intelligent chatbots and AI agents using platforms such as Moveworks (Agent Studio), Glean (Agents), Microsoft Power Virtual Agents, and similar tools.
• Build and manage Python-based automation scripts, backend services, and microservices to support AI-driven workflows.
• Implement and optimize LLM-powered solutions, including prompt engineering, conversational design, and contextual reasoning.
• Apply agentic AI concepts, including tool usage, multi-step reasoning, orchestration patterns, and Model Context Protocol (MCP).
• Develop REST APIs and backend services to integrate AI solutions with enterprise systems such as ServiceNow, Workday, Microsoft 365, and other internal platforms.
• Support workflow automation using Power Automate and Power Apps.
• Monitor, troubleshoot, and optimize AI agent performance, reliability, and response accuracy using analytics, logging, and feedback loops.
• Collaborate with QA testers and automation engineers to validate AI workflows, integrations, and end-to-end scenarios.
• Participate in test automation, regression testing, and release validation activities.
• Work within Agile/Scrum delivery models, including sprint planning, stand-ups, backlog refinement, and retrospectives.
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Maintain documentation for designs, configurations, deployments, and operational procedures.
• Mentor junior developers and support engineers transitioning into AI and automation development.
Qualifications
Minimum
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• demonstrated experience in software development, automation, or AI-related roles.
• 6+ years of experience building conversational AI or virtual agent solutions.
• Strong proficiency in Python for automation and backend development.
• Solid understanding of NLP concepts, LLM-based systems, prompt engineering, agentic AI, and Model Context Protocol (MCP).
• Experience integrating AI solutions with enterprise platforms using REST APIs
Preferred
• Hands-on experience with Moveworks, Glean, or similar enterprise AI platforms.
• Familiarity with ChatGPT Enterprise or other enterprise LLM deployments.
• Experience with Power Automate, Power Apps, or low-code/no-code platforms.
• Exposure to LLMOps practices for monitoring and optimizing AI systems in production.
• Prior experience scaling AI or automation solutions across multiple business functions or regions.