Senior AI Engineer

A leading professional services organization is seeking a hands‑on Senior AI Engineer to support secure enterprise adoption of Generative AI across infrastructure, applications, internal systems, and business data. The position focuses on technical security guardrails, secure integration architecture, and the engineering implementation of AI governance controls. The ideal candidate understands LLMs, AI agents, MCP, Python, and enterprise APIs and can apply that expertise to protect sensitive information, restrict unauthorized activity, and enable responsible AI adoption.

• Evaluate security risks across enterprise AI applications, agents, and integrations.
• Design and implement practical security guardrails for LLM applications and AI workflows.
• Architect secure AI connections to enterprise APIs, infrastructure, and internal systems.
• Develop controls for authentication, authorization, data access, and agent behavior.
• Translate governance requirements into reusable technical standards and enforceable controls.
• Collaborate with infrastructure, cybersecurity, and engineering teams on secure AI deployment.
• Implement testing, logging, monitoring, and evaluation for AI security controls.
• Use Python and modern engineering practices to operationalize secure AI solutions.

• 5-8 years of software, cloud, or AI engineering experience.
• 2+ years of enterprise GenAI/LLM experience.
• Strong Python development and enterprise integration capabilities.
• Practical understanding of agents, LLM applications, tool calling, and orchestration.
• Familiarity with MCP or comparable integration technologies.
• Knowledge of AI security risks, privacy, and access controls.
• Ability to implement technical security controls and operationalize governance.
• Strong architecture judgment and technical collaboration skills.
• Relevant bachelor's degree or equivalent practical experience.

• AI security guardrail or governance framework implementation.
• Secure agentic workflows or MCP server development.
• RAG, semantic search, and enterprise data retrieval.
• Claude Code, Anthropic APIs, or Azure AI services.
• Experience in information-sensitive enterprise environments.