AI Development Manager

• Design and develop AI copilots, virtual assistants, and internal automation workflows for enterprise use cases.
• Build solutions using LLMs, prompt engineering, RAG, agent orchestration, and enterprise search .
• Integrate AI solutions with enterprise platforms such as ServiceNow, Workday, Microsoft 365, SharePoint, Slack, Teams, HRIS, CRM, ERP, and ticketing systems .
• Develop and maintain backend services, APIs, orchestration layers, and automation pipelines using Python and related frameworks.
• Partner with business stakeholders across IT, HR, Finance, Procurement, and Operations to identify high-value use cases and convert them into production solutions.
• Implement document understanding, knowledge retrieval, and task automation across structured and unstructured enterprise data.
• Establish best practices for prompt management, model evaluation, guardrails, observability, and LLMOps .
• Ensure enterprise-grade standards for security, privacy, access control, compliance, and governance .
• Monitor solution performance, user adoption, and business impact; iterate based on feedback and usage patterns.
• Support production deployments, troubleshooting, and continuous enhancement of AI systems.

JOB OVERVIEW: We are looking for an Enterprise AI Engineer to design, build, and deploy AI-powered internal automation solutions and employee copilots across functions such as IT, HR, Finance, Procurement, Operations, and Customer Support . This role will focus on applying LLMs, workflow automation, enterprise search, and agentic AI to improve productivity, simplify processes, and enable intelligent self-service across the organization. The ideal candidate has hands-on experience building GenAI applications, internal copilots, RAG pipelines, API integrations, and workflow automations in enterprise environments, with strong attention to security, governance, and scale ., Required Qualifications Bachelor s or Master s degree in Computer Science, Engineering, Data Science, Information Systems , or related field. 5+ years of software engineering, automation, or AI/ML engineering experience. 2+ years of hands-on experience building GenAI/LLM applications in enterprise settings. Strong programming skills in Python and experience with REST APIs, microservices, and backend integration . Experience with LLM frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex , or similar. Experience building RAG pipelines using vector databases and enterprise knowledge sources. Hands-on experience with one or more cloud AI platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI , or equivalent. Experience integrating with enterprise tools such as ServiceNow, Workday, Microsoft 365, SharePoint, Teams, Slack, Jira, Salesforce , or similar systems. Solid understanding of authentication, authorization, role-based access, data privacy, and enterprise security controls . Strong communication skills with the ability to work cross-functionally with technical and business teams.

Preferred Qualifications Experience with agentic workflows / multi-step task automation . Familiarity with MCP, tool calling, function calling , and agent orchestration patterns. Experience with Moveworks, Glean, Microsoft Copilot Studio / Power Virtual Agents , or similar enterprise AI platforms. Experience with workflow automation tools such as Power Automate, UiPath, ServiceNow Flow Designer , or equivalent. Exposure to LLMOps , model monitoring, prompt/version management, evaluation frameworks, and AI governance. Experience in large enterprise environments with shared services, ITSM, HR, procurement, or employee support use cases .