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Global AI Engineering Leader

LinkedIn Northern Trust Chicago, IL
Not Applicable Posted April 3, 2026 Job link
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Requirements
  • Have proven experience with Azure AI services, including Azure Machine Learning, Cognitive Services, Copilot Studio and AI Foundry (or similar ISP tools).
  • Have a deep understanding of Generative AI and LLMs, evaluation metrics and theory behind LLMs & conversational AI
  • Full understanding of the Retrieval Augmented Generation (RAG) pattern and various tradeoffs.
  • Have a working knowledge of MCP and A2A protocols for Agentic based flows.
  • Have a working knowledge of AI based AI frameworks such as: LangChain, AutoGen, LangGraph, LamaIndex etc...
  • Have a deep and working knowledge of IAC and automation
  • Well versed in Software Quality Management (SQM) concepts and procedures.
  • Be familiar with containerization i.e.
  • Azure Kubernetes Service (AKS) for managing and scaling containerized AI applications.
  • Comply with industry standards, best practices and regulations for AI solutions.
  • Work across multiple projects in a fluid environment where work is required across the full research lifecycle from forming a hypothesis, acquiring data, and developing ETL-style software to presenting findings.
  • Provide guidance to other software development teams as prototypes and frameworks are engineered for full production environments
  • AI/ML development (5+ years), with at least 2 years in a leadership or management role.
  • Infrastructure as code (IAC) experience in any language, Terraform is preferred
  • Full stack Azure application development
  • Security related concepts and controls, particularly in the cloud environment: OAuth, virtual networks, subnets, private endpoints, authentication mechanisms, identities and RBAC.
  • Data protection and encryption techniques and tooling such as key vaults, encryption keys, masking and concepts such as BYOK.
  • DevOps including CI/CD techniques and tools particularly Azure based and Github repos
  • Running large scale (either in parallel and/or distributed) training and inference jobs on private or public cloud infrastructure
  • Developing open-source software in a collaborative environment, desired but not required.
  • Experience in any Graph Database development is desired but not required.
  • Tools/Languages required: Python, Common Python libraries (NumPy , Pandas, Sklearn, etc.), Linux based operating systems, and basic development tools (Python IDEs, source control, etc.)
  • Keras, TF, etc.)
Preferred Skills
  • Have proven experience with Azure AI services, including Azure Machine Learning, Cognitive Services, Copilot Studio and AI Foundry (or similar ISP tools).
  • Have a working knowledge of MCP and A2A protocols for Agentic based flows.
  • AI/ML development (5+ years), with at least 2 years in a leadership or management role.
  • Infrastructure as code (IAC) experience in any language, Terraform is preferred
  • Full stack Azure application development
  • Security related concepts and controls, particularly in the cloud environment: OAuth, virtual networks, subnets, private endpoints, authentication mechanisms, identities and RBAC.
  • DevOps including CI/CD techniques and tools particularly Azure based and Github repos
  • Running large scale (either in parallel and/or distributed) training and inference jobs on private or public cloud infrastructure
  • Developing open-source software in a collaborative environment, desired but not required.
  • Experience in any Graph Database development is desired but not required.
  • Tools/Languages required: Python, Common Python libraries (NumPy , Pandas, Sklearn, etc.), Linux based operating systems, and basic development tools (Python IDEs, source control, etc.)
  • Tools/Languages preferred: Advanced distributed machine learning frameworks (e.g.
  • Keras, TF, etc.)
  • Preferred Qualifications: Data Science graduate degree, finance sector experience or coursework.
  • Certifications: Certifications in Azure Security or DevOps are preferred, but not required.
  • Azure AI Engineer Associate or equivalent are preferred, but not required.
Education
  • (Not required) – Keras, TF, etc.)
  • (Required) – Education required: Computer Science undergraduate degree and strong statistical background.
  • (Not required) – Preferred Qualifications: Data Science graduate degree, finance sector experience or coursework.
  • (Required) – Certifications: Certifications in Azure Security or DevOps are preferred, but not required.
  • (Required) – Azure AI Engineer Associate or equivalent are preferred, but not required.