Job Summary
We are seeking an AEX Implementation Specialist/Engineer to lead the technical deployment of artificial intelligence solutions. The ideal candidate will combine deep technical acumen in machine learning and LLMs with practical, hands-on experience in integrating these technologies into enterprise systems. You will work closely with cross-functional teams to identify use cases, build, test, and maintain AI agents and workflows, and drive adoption across the organization
Key Responsibilities
AEX Deployment & Integration: Implement AI-powered automation solutions by integrating enterprise platforms and connecting API-based systems, including LLMs, RAG pipelines, and agentic workflows.\r\n• Custom Solution Design: Architect, build, and tune technical AEX solutions to solve complex business challenges, leveraging tools like Python, REST APIs, and iPaaS automation (e.g., Workato, Azure Functions).\r\n• Process Optimization: Analyze existing business workflows to identify high-impact AI opportunities, ensuring solutions are scalable, reliable, and secure.\r\n
Skill Requirements
Experience: 10+ years of experience in a technical role, such as a forward-deployed engineer, solutions architect, or software engineer.\r\n• Technical Proficiency: Hands-on experience with Python, API integration, and AI frameworks like TensorFlow or PyTorch.\r\n• AI Knowledge: Strong grasp of LLM-based systems, Retrieval-Augmented Generation (RAG), prompt engineering, and data modeling.\r\n
Other Requirements
Familiarity with enterprise platforms such as ServiceNow, Jira Service Desk, Salesforce, or Workday.\r\n• Experience in a consulting environment or high-growth startup.\r\n• Cloud computing experience (AWS, Azure, or GCP).