The Role
Manage the lifecycle and governance of enterprise AI tools, LLM platforms, MCP servers, integrations, and AI gateways. Administer users, permissions, licenses, model access, APIs, and security controls. Troubleshoot authentication, connectivity, and platform issues while maintaining inventories, documentation, usage monitoring, cost tracking, and operational procedures. Collaborate with Security, Infrastructure, AI, and Development teams to implement guardrails, compliance frameworks, and approved AI tooling.
Summary Generated by Built In
About
Us
HFM is an internationally acclaimed multi-asset broker, delivering cutting-edge trading tools, platforms, and conditions to traders worldwide. We are committed to innovation, transparency, and excellence in the financial markets.
HFM is an internationally acclaimed multi-asset broker, delivering cutting-edge trading tools, platforms, and conditions to traders worldwide. We are committed to innovation, transparency, and excellence in the financial markets.
As we
continue to expand, we are seeking a driven and strategic AI Enablement Engineer to
join our team.
Responsibilities:
Responsibilities:
- Manage the onboarding, offboarding, configuration, and lifecycle of AI tools, LLM platforms, MCP servers, and integrations.
- Coordinate AI tooling requests and integrations, ensuring compliance with AI approval frameworks and governance policies.
- Administer AI platforms, including user provisioning, access controls, licensing, model availability, API settings, and usage restrictions.
- Implement AI security controls and guardrails in collaboration with the Security team, ensuring compliance with company policies.
- Configure and troubleshoot MCP servers, AI integrations, API connections, and authentication, collaborating with Infrastructure, Security, AI, and Development teams.
- Support AI gateway administration, including access policies, model routing, usage monitoring, troubleshooting, license utilization, and cost tracking.
- Provide technical support, maintain inventories of approved AI tools, integrations, platform owners, and access permissions, and ensure accurate documentation and operational procedures.
Requirements
Must have:
- Minimum of 1 year of experience in similar technical role.
- Good understanding of AI platforms, LLMs, AI tooling ecosystems, integrations, and APIs.
- Experience managing enterprise applications, user accounts, groups, roles, permissions, and access controls.
- Knowledge of SSO, SAML, OAuth, API keys, RBAC, security best practices, and data protection principles.
- Strong troubleshooting skills in application integrations, authentication, and connectivity
Nice to have:
- Hands-on experience with AI platforms such as OpenAI/ChatGPT Enterprise, Anthropic Claude, Google Gemini, AWS Bedrock, or similar solutions.
- Knowledge of Model Context Protocol (MCP), including servers, clients, tool permissions, and integrations.
- Familiar with AI gateways, LLM proxies, model routing, rate limiting, and usage monitoring.
- Experience in LLM guardrails, content filtering, data protection, usage policies, and AI security risks, including prompt injection, data leakage, and excessive agent permissions.
- Experience using Google Workspace, AWS, Python, Bash, REST APIs, automation tools, Infrastructure as Code (IaC), and automated provisioning.
Resumes
must be submitted in English.
Applicants must be eligible or have legal authorization to work in the country where the position is based.
Applicants must be eligible or have legal authorization to work in the country where the position is based.
Benefits
- Hybrid
Work Model (2 days working from home)
- Wolt
Meal Allowance
- Comprehensive
Health Insurance
- Provident
Fund (Upon completion of the trial period)
- Summer
Short Fridays (August)
- Additional
Paid Annual Leave (up to 30 days, based on years of
service)
- Birthday
Leave
- Udemy
Business access
- Gym
Membership
- Referral
Bonus Program
Additional Support
- Visa
Sponsorship and Relocation Assistance
Sounds
like you? Let’s write the next chapter together!
All
Applications will be handled with the strictest
confidentiality.
Skills Required
- At least 1 year of experience in a similar technical role
- Understanding of AI platforms, LLMs, AI tooling ecosystems, integrations, and APIs
- Experience managing enterprise applications, user accounts, groups, roles, permissions, and access controls
- Knowledge of SSO, SAML, OAuth, API keys, RBAC, security best practices, and data protection principles
- Strong troubleshooting skills in application integrations, authentication, and connectivity
- Hands-on experience with enterprise AI platforms such as OpenAI ChatGPT Enterprise, Anthropic Claude, Google Gemini, or AWS Bedrock
- Knowledge of Model Context Protocol, including servers, clients, tool permissions, and integrations
- Familiarity with AI gateways, LLM proxies, model routing, rate limiting, and usage monitoring
- Experience with LLM guardrails, content filtering, data protection, usage policies, and AI security risks
- Experience with Google Workspace, AWS, Python, Bash, REST APIs, automation tools, Infrastructure as Code, and automated provisioning
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The Company
What We Do
HFM is an internationally acclaimed, regulated multi-asset broker serving retail and institutional clients worldwide. The company provides online trading services and platforms across forex, contracts for difference (CFDs), futures, commodities, stocks, and indices. Its offering emphasizes competitive trading conditions, innovative tools, partner support, and access to multiple global markets through its financial technology infrastructure, helping traders participate in global markets.
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