About Northern Trust:
Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.
Northern Trust is proud to provide innovative financial services and guidance to the world’s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.
1. Lead, mentor, and grow a team of AI developers, fostering a culture of innovation, collaboration, and continuous learning.
2. Define and execute the technical strategy for AI solution development on Microsoft Azure, ensuring alignment with business objectives.
3. Oversee the design and development of AI models and algorithms to solve complex business problems.
4. Drive the adoption of best practices in MLOps & LLMOps, ensuring scalable, reliable, and efficient AI model deployment and management.
5. Stay abreast of the latest advancements in AI/ML technologies, particularly within the Azure ecosystem, and evaluate their potential application.
6. Conduct code reviews, provide technical guidance, and contribute to the architectural design of AI systems.
7. Poses excellent problem-solving, analytical skills and strong communication and collaboration abilities.
8. Ensure the scalability, reliability, and security of AI solutions.
9. Manage project timelines, budgets, and resources.
10. Communicate project status and results to stakeholders.
11. Have proven experience with Azure AI services, including Azure Machine Learning, Cognitive Services, Copilot Studio and AI Foundry (or similar ISP tools).
12. Have working knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
13. Have a deep understanding of Generative AI and LLMs, evaluation metrics and theory behind LLMs & conversational AI
14. Full understanding of the Retrieval Augmented Generation (RAG) pattern and various tradeoffs.
15. Have a working knowledge of MCP and A2A protocols for Agentic based flows.
16. Have a working knowledge of AI based AI frameworks such as: LangChain, AutoGen, LangGraph, LamaIndex etc...
17. Have a deep and working knowledge of IAC and automation
18. Well versed in Software Quality Management (SQM) concepts and procedures.
19. Be familiar with containerization i.e. Azure Kubernetes Service (AKS) for managing and scaling containerized AI applications.
20. Comply with industry standards, best practices and regulations for AI solutions.
21. 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.
22. Provide guidance to other software development teams as prototypes and frameworks are engineered for full production environments
Knowledge:
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.
Experience:
A Bachelor’s degrees in Computer Science or related field required.
5+ years of experience in AI/ML development, with at least 2 years in a leadership or management role.
Tools/Languages in Python, Common Python libraries (NumPy , Pandas, Sklearn, etc.), Linux based operating systems, and basic development tools (Python IDEs, source control, etc.) are required.
Tools/languages Advanced distributed machine learning frameworks (e.g. Keras, TF, etc.) are preferred.
Data Science graduate degree, finance sector experience or coursework are preferred.
Certifications in Azure Security or DevOps are preferred, but not required.
Azure AI Engineer Associate or equivalent are preferred, but not required.
Working with Us:
As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.
Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose.
We’d love to learn more about how your interests and experience could be a fit with one of the world’s most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater
Reasonable accommodation
Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com.
We hope you’re excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.
Apply today and talk to us about your flexible working requirements and together we can achieve greater.
About Our Bangalore Office
The Northern Trust Bangalore office, established in 2005, is home to over 5,600 employees. In this stunning office, space, we offer fantastic amenities which include our Arrival Hub – Jungle, the GameZone, and the Employee Experience Zone that appeal to both clients and employees. Learn more.