AI Platform Engineer

🔹 What You'll Work On

You will own enterprise AI integration requests from intake → assessment → configuration → testing → production release → documentation → operational handoff .

Key areas include:

- Claude & Anthropic APIs

- Model Context Protocol (MCP)

• Enterprise AI connectors, skills, plugins and agents

• Microsoft Copilot / Copilot Studio / Gemini

• Enterprise API integrations

• IAM, RBAC, SSO, OAuth and service identities

• Secrets management and permission controls

• CI/CD and Infrastructure as Code

• Terraform and automated provisioning

• AI security, governance and enterprise controls

• Production troubleshooting and operational support

🔹 What We're Looking For

We're particularly interested in engineers with:

✅ Strong enterprise platform, backend, integration or systems engineering experience

✅ Hands-on experience with Claude / Anthropic APIs or comparable enterprise AI platforms

✅ Experience with MCP servers, clients, tools, resources or authentication is highly desirable

✅ Strong understanding of IAM, RBAC, SSO, OAuth and access management

✅ Experience with APIs and enterprise service integrations

✅ CI/CD and deployment automation experience

✅ Terraform or comparable Infrastructure-as-Code experience

✅ Experience with secrets management and service-to-service authentication

✅ Understanding of AI security risks such as prompt injection, excessive permissions, insecure tools and data exfiltration

✅ Strong troubleshooting, documentation and stakeholder-management skills

⭐ Particularly Valuable

Candidates with production experience in:

🔹 Claude / Anthropic API

🔹 MCP

🔹 Microsoft Copilot / Copilot Studio

🔹 Gemini or comparable enterprise AI platforms

🔹 Enterprise AI connectors, plugins, skills or agents

🔹 Terraform / IaC

🔹 Enterprise IAM and security

🔹 Regulated environments, particularly Life Sciences / Pharmaceuticals

⚠️ Important

This is not primarily an ML research or front-end AI development role .

We are looking for someone who can combine AI platforms + enterprise integrations + IAM/security + DevOps/IaC + production operations .