Feature Lead - Technology - GenAI Platform

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This job is responsible for providing leadership, technical direction and oversight to a team delivering technology solutions. Key responsibilities of the job are to provide oversight of the design, implementation, and maintenance of complex computer programs, align technical solutions to business objectives, and ensure that coding practices/quality comply with software development standards. Job expectations include conducting multiple software implementations and applying both depth and breadth in knowledge of several technical competencies.

Job Profile Summary:

Generative AI (GenAI) presents an exciting opportunity to derive valuable insights from data and drive revenue growth, efficiencies, and improved business processes. Technology will collaborate with Global Markets Sales & Trading, Quantitative Strategies & Data Group (QSDG) & Platform teams to the design and buildout its global GenAI platform.

Platform will cater to a rapidly growing number of use cases that harness the power of GenAI, leveraging both proprietary and open-source Large Language Models, and large structured and un structured data sets to provide insights to Global Markets Sales & Trading, QSDG, Research, and Operations.

We are seeking a Feature Lead to provide leadership, technical direction and oversight to a team responsible for the implementation of GM's new GenAI platform.  In this role, you will collaborate with multidisciplinary teams to integrate business use cases into the platform while ensuring these solutions are reusable, scalable and sustainable.

Hands-on engagement in the full software lifecycle activities is expected.  This includes requirements analysis, architecture design, coding, testing, and deployment.  You will be responsible for driving projects forward, mentor junior team members, and contribute to continuous improvement initiatives.

Responsibilities:

• Designs, develops and is accountable for feature delivery

• Applies enterprise standards for solution design, coding and quality

• Ensures solution meets product acceptance criteria with minimal technical debt

• Guides the team on work breakdown and execution

• Works with the Product Owner to ensure that product backlog/requirements are healthy, with clear acceptance criteria

• Plays a team lead role (as an individual contributor) and mentors the team

• Guides team members with skills and practices (planning and estimation, peer reviews, and other engineering practices)

• Develops and trouble-shoots high-performance APIs using FastAPI and Python.  

• Implements distributed caching mechanisms, containerization and message queues for scalable systems.

• Ensures CI/CD pipelines are in place for automated testing and deployment.

• Design, develop, and is accountable for feature delivery of the end-to-end platform implementation and related business use cases

• Identify, prioritize and execute tasks in the software development life cycle

• Establish standards and lead the charge on automation for end-to-end SDLC efficiency

• Implement hardware upgrade & software enhancement to meet global performance expectations  

• Ensures solution meets product acceptance criteria with minimal technical debt

• Guides the team on work breakdown and execution

• Works with the Product Owner to ensure that product backlog/requirements are healthy, with clear acceptance criteria

• Plays a team lead role (as an individual contributor) and mentors the team

• Guides team members with skills and practices (planning and estimation, peer reviews, and other engineering practices)

Required Qualifications:

• Experience in designing & implementing multi-tier (including microservices) application platforms

• High coding proficiency in Python and Unix scripting

• In-depth knowledge of relational databases (e.g. Oracle, MySQL) and NoSQL databases (e.g. MongoDB), and large structured & unstructured dataset processing

• Knowledge in full range of front-end languages, libraries & frameworks (e.g. HTML/ CSS, JavaScript, XML, React, jQuery)

• Strong communication skills to effectively collaborate with various stakeholders

• Critical thinking and problem-solving skills are essential

Desired Qualifications:

• Experience implementing data analytics / AI solutions

• Knowledge of machine learning frameworks like TensorFlow or PyTorch, LLM fine-tuning, Retrieval Augmented Generation (RAG) and tools for agentic solutions

Skills:

• Automation

• Influence

• Result Orientation

• Stakeholder Management

• Technical Strategy Development

• Architecture

• Business Acumen

• Risk Management

• Solution Delivery Process

• Solution Design

• High-performance API Development  

• Asynchronous Programming  

• High-performance API Development  

• Asynchronous Programming  

• Distributed Caching (e.g., Redis)  

• Message Queues  

• CI/CD Pipelines  

• OpenTelemetry  

• Authentication and Authorization Mechanisms  

Minimum Education Requirement - Bachelor Degree or Equivalent Work Experience

Shift:

1st shift (United States of America)

Hours Per Week: 

40