Artificial Intelligence / Data Science /Performance Engineer

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

This job is responsible for defining an architectural vision and solution that supports the strategic outcomes of the Business' Products and Services. Key responsibilities include defining the target operating environment, designing for client resiliency, assisting with solution design, and defining non-functional requirements. Job expectations include working with stakeholders and service providers aligned to the Business' strategic objectives, evaluating the impact of strategic design decisions, and contributing to the architecture roadmap.

Responsibilities:

Works across the business, operations and technology to create the solution intent and architectural vision for complex solutions and prioritize functional and non-functional requirements into a technology backlog to enable the technology roadmap and functionality to support evolving capabilities and services

Contributes to the creation of the architecture roadmap of defined domains (Business, Application, Data, and Technology) in support of the product roadmap and the development of best practices including standardized templates

Clarifies the architecture, assists with system design to support implementation, and provides solution options to resolve any architectural impediments

Facilitates solution driven discussions, leads the design of complex architectures, and finds creative solutions through knowledge of domain, practical experiments, and proof of concepts while ensuring architecture is flexible, modular, and adaptable

Educates team members on the technology practices, standardization strategies, and best practices to create innovative solutions

Supports the team as needed to select the technology stack required for solutions and helps select preferred technology products

Performs design and code reviews to ensure all non-functional requirements are sufficiently met (for example, security, performance, maintainability, scalability, usability, and reliability)

Position Summary

Architect and Engineer Highly Performant AI Infrastructure Platform Services

Provide guidance to design and develop high-performance framework for Jupyter Workbench and Inferencing Engines like Triton and VLLM

Collaborate with data scientists and data engineers to build, tune and optimize models and develop MLOps guidelines to streamline ML Lifecycle

Develop and maintain performance benchmarks and metrics

Work closely with the Data Science teams to access their needs of new tooling for their workbench and develop those solutions.

Automate machine learning pipelines, including data preprocessing, feature engineering, and model training.

Collaborating with data scientists, engineers, and application developers to design, develop, and deploy machine learning models.

Develop and maintain technical documentation and knowledge base articles to share best practices and lessons learned with the Tech Infrastructure Team.

Required Qualifications

Experience with Triton Inferencing and Jupyter Workbench within Risk Framework

Develop LORA adapters to integrate with various data sources and ML models

Experience in Developing and maintaining MLOps pipelines using Agentic MLOps, RAG, and RAG Pipeline to automate ML model development, testing, and deployment

Strong programming skills in Python, R, or SQL

Experience with data science frameworks such as TensorFlow, PyTorch, LangChain and LlamaIndexes.

Strong understanding of machine learning algorithms and data science concepts

Basic Experience with cloud-based technologies such as AWS, Azure, or Google Cloud

Strong analytical and problem-solving skills

Excellent communication and collaboration skills

Ability to work in a fast-paced environment and prioritize multiple tasks and projects

Desired Qualifications

Experience with big data technologies such as Hadoop, Spark, or NoSQL/Vector Databases

Master’s degree in Computer Science, Engineering, or a related field

Experience with data visualization tools such as Tableau, Grafana

Experience with DevOps tools such as Jenkins, Docker, or Kubernetes

Certification in data science or machine learning

Skills:

Analytical Thinking

Architecture

Result Orientation

Solution Design

Technical Strategy Development

Application Development

Collaboration

Data Management

DevOps Practices

Risk Management

Agile Practices

Shift:1st shift (United States of America)

Hours Per Week: 40

Pay Transparency details

US - NJ - Jersey City - 101 Hudson St - 101 Hudson (NJ2101)

Pay and benefits information

Pay range

$135,600.00 - $202,000.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

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