Artificial Intelligence / Data Science /Performance Engineer / Architect

Bank of America; Jersey City (NJ); On-site; USD 135,000 - 202,000; Full time

Job summary

Bank of America seeks an Artificial Intelligence / Data Science / Performance Engineer / Architect to define architectural solutions that support business products and services. The role involves collaborating with data scientists, developing MLOps pipelines, and ensuring high-performance AI infrastructure. Candidates should have strong programming skills and experience with data science frameworks.

Benefits

Industry-leading benefits

Paid time off

Discretionary incentive eligibility

Qualifications

• Experience with Triton Inferencing and Jupyter Workbench within Risk Framework.
• Strong programming skills in Python, R, or SQL.
• Experience in Developing and maintaining MLOps pipelines.

Responsibilities

• Define architectural vision and solution for business products and services.
• Work with stakeholders to evaluate design decisions and contribute to architecture roadmap.
• Automate machine learning pipelines and develop performance benchmarks.

Skills

Analytical Thinking

Result Orientation

Solution Design

Technical Strategy Development

Application Development

Data Management

DevOps Practices

Agile Practices

Education

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

Tools

Triton

Jupyter Workbench

TensorFlow

PyTorch

Hadoop

Spark

AWS

Azure

Google Cloud

Tableau

Grafana

Jenkins

Docker

Kubernetes

Job description

Artificial Intelligence / Data Science /Performance Engineer / Architect

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
• Result Orientation
• Solution Design
• Technical Strategy Development
• Application Development
• Data Management
• DevOps Practices
• Agile Practices

Shift:

1st shift (United States of America)

Job Description:

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 informationPay range$135,600.00 - $202,000.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis 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.BenefitsThis 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.

About the company

Bank of America is one of the world's largest financial institutions, serving individuals, small- and middle-market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk management products and services.

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