Senior Principal Engineer (Generative AI Strategy)

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This job is responsible for defining and leading the engineering approach for solutions at the program or portfolio level, to deliver significant business outcomes. Key responsibilities include continuously improving the design, quality, and reuse of the solution and delivering technology enablers that improve development efficiencies for the solution. Job expectations include familiarity with at least one area of engineering, acting as a “go to” reference across the organization, and applying knowledge to improve technical competencies through recruitment and development activities.

Position Summary:

This job is responsible for defining and leading the engineering approach and strategy for AI solutions across GM Reg Reporting, to deliver significant business outcomes. Key responsibilities include continuously improving the design, quality, and reuse of the solution and delivering technology enablers that improve development efficiencies for the solution. Job expectations include familiarity with at least one area of engineering, acting as a “go to” reference across the organization, and applying knowledge to improve technical competencies through development activities.

Global Markets Regulatory Reporting Operations Technology is a global team with locations in New York City, Charlotte, London, Ireland, and India. Generative AI presents an exciting opportunity to derive valuable insights from data and drive revenue growth, efficiencies, and improved business processes. The platform will cater to a rapidly growing number of use cases that harness the power of Generative AI. Both proprietary and open-source Large Language Models, and large structured and un-structured data sets will be leveraged to produce insights for Global Markets and its clients.

We are looking for a Senior Principal Engineer to lead and execute our Generative AI strategy. The Principal Engineer will be a detail-oriented, highly technical, hands-on senior software developer, and a key member of the team partnering with the GenAI team to help drive AI strategy across GM Regulatory Reporting. These solutions will be engineered for scalability, performance, reliability, and supportability.

Responsibilities:

• Develops the engineering approach for the entire program/portfolio solution and works with Architecture, to develop/analyze/deliver the implementation of technical enablers
• Leads the planning, definition, and design of the complex features which span multiple teams and explore solution alternatives
• Creates ideas on designing complex technology and solution development approaches
• Leads the technical oversight for teams in solution development including design reviews and code within own domain
• Defines the technology tool stack for the solution within ranged of internally approved and supported technologies
• Explores state-of-the-art technologies to improve development efficiencies, quality of test/QA coverage, and release management
• Leads and is responsible for the end-to-end test strategy/creation/adherence, and the integration between teams for a program/portfolio solution
• Develops the engineering approach for GM Reg Reporting solution and works with Architecture, to develop/analyze/deliver the implementation of technical enablers
• Leads the planning, definition, and design of the complex features which span multiple teams and explore solution alternatives
• Creates ideas on designing complex technology and solution development approaches
• Leads the technical oversight for teams in solution development including design reviews and code within own domain
• Defines the technology tool stack for the solution within ranged of internally approved and supported technologies
• Explores state-of-the-art technologies to improve development efficiencies, quality of test/QA coverage, and release management
• Leads and is responsible for the end-to-end test strategy/creation/adherence, and the integration between teams for a program/portfolio solution
• Partner with Global Markets GenAI Technology team to promote and implement the banks Generative AI tools across teams within Regulatory Reporting.

Required Qualifications

• 10+ years of relevant experience
• Strong experience in Machine Learning, Data Analytics, AI.
• Experience implementing Generative AI solutions highly desirable.
• Knowledge of Generative AI and machine learning frameworks, products, and tools for agentic solutions.
• Extensive experience in designing & implementing multi-tier (including microservices) application platforms.
• Advanced proficiency in Python, including object-oriented techniques, and REST API development.
• In-depth knowledge of databases, large structured & unstructured dataset processing, and messaging is important.
• Proven ability to partner effectively with business stakeholders to drive technology strategy and align with organizational goals.
• A self-starter attitude quickly adapts to new technologies and industry trends.
• Strong interpersonal and communication skills to work independently and in a collaborative environment.

Desired Qualifications

• Experience in Capital Markets or similar environment

Skills:

• Automation
• Influence
• Result Orientation
• Stakeholder Management
• Technical Strategy Development
• Application Development
• Architecture
• Business Acumen
• Risk Management
• Solution Design
• Agile Practices
• Analytical Thinking
• Collaboration
• Data Management
• Solution Delivery Process

Bachelors Degree in Engineering

Shift:

1st shift (United States of America)

Hours Per Week: 

40