Bank of America
Software Engineer III - Generative AI Lab Platform
This job is now closed
Job Description
- Req#: 24047672
Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
Mentors’ other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack
Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
Automates manual release activities
Designs, develops, and maintains automated test suites (integration, regression, performance)
Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution
Package and deliver software, models, and software configuration for proof-of-concept usage inside containerized environments
Update stakeholders, requesters, and ticketing systems with information about the status of current requests
Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s)
Performs development and delivery techniques according to team guidelines
Provides end-to-end delivery of complex features, including automation, for the lab environment
Conducts research, design prototyping and other exploration activities such as evaluating new toolsets, models, and software in the Artificial Intelligence and Generative AI space
Works with stakeholders to establish high-level solution needs and with architects for technical requirements
Develop and maintain Global Market Technology's Lab platform
Define requirements for effective software delivery
Collaborating with team and with partners in QSDG and Platform to define, build, test, and deploy platform meeting requirements.
Following standards & best practices related to platform management.
Evaluate third-party products to meet scalability, resiliency, and performance.
Leverage existing platforms to automate setup, installation, verification, monitoring, and provisioning processes.
Maintaining a central, version controlled, inventory of all environments, including their current versions and configuration settings.
Analyzing data to identify and proactively address environment-related issues.
Working with project teams to manage costs & improve efficiency of environments.
Partnering closely with Prod Support and Engineering to deploy & support applications.
Prior experience designing, implementing, and maintaining end to end environments, from POC to production.
Deep understanding of hardware, software, network, data & application configuration.
DevOps processes and CICD tooling (Jira, Git/Bitbucket, Jenkins, Datival, Artifactory, Ansible), orchestration & automation.
Multi-tier (Python based) web application stack microservices/serverless/loosely coupled architecture.
Mix of on-premises and cloud based, containerized (Docker/Kubernetes/OpenShift) deployment models.
Familiarity with no-SQL (MongoDB) and relational (SQL Server/Oracle) databases, and other various forms Object, Vector, and file stores.
Unix scripting, Python development skills, familiarity with non-relational databases
Familiarity with infrastructure monitoring & reporting for GPU/CPU & memory consumption, inference latency and model performance.
Ability to communicate effectively to a wide range of audience (business stakeholders, developer & support teams).
Meticulous & highly organized.
Adaptable to shifting & competing priorities.
Skilled at setting expectations.
Critical thinking skills to diagnose & resolve complex issues.
Familiarity with AI & Deep learning, modeling techniques, Generative AI application stack.
Proficiency in Python and familiarity with AI frameworks (TensorFlow/PyTorch).
GPU cluster management (CUDA/Kubernetes), auto-scaling & scheduling (Triton Inference Server).
3+ years in similar roles in the financial industry.
Higher education in IT field or relevant previous work experience
Application Development
Automation
Influence
Solution Design
Technical Strategy Development
Architecture
Business Acumen
DevOps Practices
Result Orientation
Solution Delivery Process
Analytical Thinking
Collaboration
Data Management
Risk Management
Test Engineering
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 a diverse and 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.
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 developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns.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.
The Platform Engineer will lead the planning, and buildout of the GenAI infrastructure. In this role, you will play a crucial role in designing, managing platform & application dependencies, and ensuring efficient use of environments. You will ensure quality and speed in releases by maintaining consistency across environments, documenting variations, and automating deployment activities to reduce errors. You will connect with various teams & processes like IT asset management and test management.
Responsibilities:
Key Responsibilities:
Technical Qualifications:
Non-Technical Qualifications:
Additional Experience (not essential):
Skills:
Shift:
1st shift (United States of America)Hours Per Week:
40Pay Transparency details
US - NY - New York - 1100 Ave Of The Americas - Two Bryant Park (NY1540) Pay and benefits information Pay range $100,700.00 - $180,000.00 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.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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