Senior Enterprise AI Engineer

Responsibilities

• Design, build, and deploy enterprise AI solutions, agents, assistants, and workflow automations.
• Create end-to-end integrations connecting SaaS applications, internal systems, and data services.
• Develop reusable patterns for agent orchestration, prompt design, context management, and human review workflows.
• Implement security, privacy, compliance, governance, and responsible-AI controls, including protections against data leakage, prompt injection, and unauthorized access.
• Develop reusable AI components, templates, integrations, documentation, and implementation patterns to enable adoption across teams.
• Identify, deliver, measure, and optimize AI use cases that improve employee productivity and reduce manual effort.
• Partner with IT, Security, Enterprise Applications, and business stakeholders to define and deliver scalable technical solutions.

Requirements

• At least 5 years of experience in enterprise engineering, software engineering, automation, or IT systems.
• Hands-on experience building integrations and workflows with Workato, Tines, or similar platforms.
• Experience with LLM-based applications, prompt engineering, AI assistants, or agent frameworks.
• Strong understanding of APIs, integrations, and SaaS ecosystems.
• Experience implementing security and compliance controls in cloud-based environments.
• Ability to independently deliver technical solutions and solve complex problems.
• Experience with MCP or similar agent and context management frameworks is preferred.
• Experience extending Microsoft 365 Copilot and using Microsoft Graph APIs is preferred.
• Experience with Claude or other enterprise AI platforms is preferred.
• Familiarity with AI governance and responsible AI principles is preferred.
• Experience supporting internal platforms or business systems within a SaaS company is preferred.

Benefits

• Remote position with equipment and support provided for working from home or from company offices.
• Health insurance coverage, life insurance, and disability insurance.
• 401(k) employer matching program.
• Paid parental leave, paid holidays, quarterly self-care days, wellness days, and paid time off.
• Stock options may be available to full-time employees.
• Learning and development initiatives, including access to LinkedIn Learning.
• Wellness education sessions and employee resource group events.