AI Integration Engineer

AI Integration Engineer (APIs / Integrations / AI Agent Platforms) Engagement: Part-time contract, approximately 20 hours per week We’re looking for an experienced AI Integration Engineer to connect AI security tools with the AI platforms they protect for a financial services client. Your first priority will be integrating an AI agent security platform with the client’s data and AI platforms so agents can be discovered and monitored. You’ll then help connect additional agentic platforms and security tools as they are adopted. You’ll work with the client’s security and platform teams and our delivery team to build reliable, maintainable integrations. Responsibilities - Design and build API connectors using a consistent integration pattern and common formats for agents and security findings. - Integrate AI agent security tools with the client’s data and AI platforms. - Configure and tune agent discovery with the security team and investigate false positives. - Assess new AI platforms for available APIs, authentication, telemetry, and controls. - Build and operate webhook or event-driven services where supported, including secure request validation. - Manage authentication, secrets, logging, monitoring, and error handling. - Take integrations through the client’s security review and change process. - Troubleshoot integration failures and respond to vendor API, schema, and authentication changes. - Document each integration, including its capabilities, limitations, failure modes, and recovery steps. - Coordinate with analytics and governance team members on available data, defects, and changes. - Keep integrations as vendor-neutral as practical. Requirements - 6+ years of software engineering experience. - Strong programming skills in Python, JavaScript, or a similar language. - Production experience with REST APIs, including OAuth 2.0, service principals, pagination, rate limits, retries, and idempotency. - Experience securely receiving webhooks and operating services using serverless platforms or containers. - Experience with a major cloud platform; Azure is preferred. - Working knowledge of AI agents, tool calling, Model Context Protocol (MCP), and agent frameworks. - Experience with cloud data and AI platforms, enterprise agentic platforms, and AI coding assistants. - Strong security practices, including secrets management and least-privilege access. - Experience with monitoring, alerting, and logging. - Ability to work independently, communicate clearly, and document technical work. Nice to have - Financial services experience. - Infrastructure-as-code experience. To apply, please share a copy of your resume and a short video introduction (2-5 mins)