Lead AI Engineer - T&T

You may know McCormick as a leader in herbs, spices, seasonings, and condiments – and we’re only getting started. At McCormick, we’re always looking for new people to bring their unique flavor to our team.

McCormick employees – all 14,000 of us across the world – are what makes this company a great place to work.

We are hiring immediately for a Cyber Analyst IV - Insider Trust 

 

What We Bring To The Table:

The best people deserve the best rewards. In addition to the benefits you’d expect from a global leader (health insurance, paid time off, etc.) we also offer:

• Competitive compensation

• Career growth opportunities

• Flexibility and Support for Diverse Life Stages and Choices

• Wellbeing programs including Physical & Mental wellness

Required Experience:   

• 5–8 years of experience in software engineering, with at least 2 years focused on AI/ML or LLM-based systems in production environments.
• Experience designing and deploying AI-powered applications in cloud-native Azure environments.
• Demonstrated experience building RAG pipelines and working with vector databases.
• Experience developing distributed, API-driven systems and integrating with enterprise platforms.
• Experience working within Agile product teams delivering iterative releases.
• Excellent communication skills and a desire to collaborate openly within a fast-moving team

Interpersonal Skills - leadership, interactions, communication, influence   

Other Skills -

• Hands-on experience with LangChain, LangGraph (Agents, Tools) and agent orchestration patterns.
• Practical implementation experience with MCP and A2A communication models.
• Experience with Azure OpenAI, Gemini and model integration strategies.
• Strong knowledge of Retrieval-Augmented Generation (RAG) architectures.
• Experience with vector stores such as Azure AI Search and PGVector.
• Proficiency in prompt engineering, evaluation strategies, and structured output validation.
• Experience developing RESTful APIs and integrating external services.
• Experience with Docker and containerized deployment models.
• Experience implementing CI/CD pipelines using GitHub Actions or similar platforms.
• Familiarity with feature flag strategies, telemetry, logging, and monitoring.
• Experience working with NoSQL databases and distributed system patterns.

Preferred Experience -

• Experience designing multi-agent orchestration strategies across distributed systems.
• Exposure to performance and cost optimization strategies for LLM-based systems.
• Experience contributing to shared AI platform components or reusable internal frameworks.
• Familiarity with enterprise governance, security, and responsible AI considerations.