Software Engineer III (AI/ML)

Posted 4 Days Ago
Plano, TX, USA
In-Office
Mid level
Big Data • Fintech • Mobile • Payments • Financial Services • Data Privacy
The Role
Design, develop, test, and support scalable AI-enabled applications and services. Implement LLM, Generative AI, and RAG capabilities, build RESTful APIs and microservices, automate CI/CD and testing, perform code reviews, troubleshoot production issues, and collaborate with product and architecture teams in Agile delivery.
Summary Generated by Built In

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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
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.

LOB Position Summary

This position is part of Bank of America’s Erica, Chat, and Voice Technology organization. The team builds next-generation AI, Search, and Conversational platforms that power virtual financial assistant and search capabilities across multiple channels.

Candidate will design, develop, test, and support scalable software solutions and AI-powered applications. The role requires strong software engineering fundamentals, experience working with modern AI/ML technologies, and the ability to collaborate effectively within an Agile delivery team.

Responsibilities:

  • 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)
  • Implement high-quality code following enterprise standards, architecture patterns, and engineering best practices.
  • Participate in solution design discussions and contribute to technical implementation decisions.
  • Develop and integrate AI/ML-powered capabilities into enterprise applications.
  • Support implementation of Generative AI and Retrieval Augmented Generation (RAG) solutions.
  • Develop and maintain RESTful APIs, microservices, and backend services.
  • Perform code reviews and contribute to continuous improvement of engineering practices.
  • Troubleshoot, debug, and resolve application and production issues.
  • Ensure solutions meet security, performance, scalability, and reliability requirements.
  • Collaborate with product owners, architects, and engineering teams to deliver business requirements.
  • Support deployment, monitoring, and optimization of applications across enterprise environments.
  • Participate in Agile ceremonies including sprint planning, estimation, and retrospectives.

Required Qualifications:

  • 3+ years of software development experience using Java, Python, or related technologies.
  • Strong object-oriented programming and software design skills.
  • Experience building enterprise applications and RESTful web services.
  • Knowledge of AI/ML concepts and experience developing AI-enabled applications.
  • Familiarity with Large Language Models (LLMs), Generative AI, and modern AI frameworks.
  • Experience implementing Retrieval Augmented Generation (RAG) solutions and retrieval techniques.
  • Experience working with source control tools such as Git.
  • Strong analytical and problem-solving skills.
  • Good verbal and written communication skills.
  • Experience working in Agile development environments.

Desired Qualifications:

  • Experience with Elasticsearch, OpenSearch, SOLR, or similar search platforms.
  • Experience with AI/ML frameworks and model integration.
  • Experience with vector databases, embeddings, and semantic search.
  • Experience with Kubernetes, Docker, and containerized deployments.
  • Experience with cloud platforms such as Azure or AWS.
  • Experience with Cassandra, Redis, or other distributed data technologies.
  • Understanding of MLOps, model deployment, monitoring, and observability concepts.
  • Experience with chatbot, conversational AI, or virtual assistant platforms.
  • Experience with prompt engineering and model evaluation techniques.
  • Experience with GPU-based AI workloads and inference platforms.

Skills:

  • 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

Bachelor's or Master's Degree in Computer Science, Engineering, Information Systems, or a related field or equivalent experience

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Skills Required

  • 3+ years software development experience using Java, Python, or related technologies.
  • Strong object-oriented programming and software design skills.
  • Experience building enterprise applications and RESTful web services.
  • Knowledge of AI/ML concepts and experience developing AI-enabled applications.
  • Familiarity with Large Language Models (LLMs), Generative AI, and modern AI frameworks.
  • Experience implementing Retrieval Augmented Generation (RAG) solutions and retrieval techniques.
  • Experience working with source control tools such as Git.
  • Strong analytical and problem-solving skills.
  • Good verbal and written communication skills.
  • Experience working in Agile development environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience.
  • Experience with Elasticsearch, OpenSearch, SOLR, or similar search platforms.
  • Experience with vector databases, embeddings, and semantic search.
  • Experience with Kubernetes, Docker, and containerized deployments.
  • Experience with cloud platforms such as Azure or AWS.
  • Experience with Cassandra, Redis, or other distributed data technologies.
  • Understanding of MLOps, model deployment, monitoring, and observability concepts.
  • Experience with chatbot, conversational AI, or virtual assistant platforms.
  • Experience with prompt engineering and model evaluation techniques.
  • Experience with GPU-based AI workloads and inference platforms.

Bank of America Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bank of America and has not been reviewed or approved by Bank of America.

  • Fair & Transparent Compensation The $25/hour U.S. minimum wage, reaffirmed in recent company materials, sets a clear compensation floor that lifts entry-level and operations pay. Public salary information and disclosures provide visible benchmarks for pay across roles.
  • Parental & Family Support Parental leave extends up to 26 weeks with 16 weeks fully paid for eligible teammates, alongside backup child and adult care and a dedicated Life Event Services team. Family-building assistance offers up to a $20,000 lifetime reimbursement and bereavement leave provides 20 paid days for loss of a spouse, partner, or child.
  • Retirement Support Retirement programs include a 401(k) match up to 5% of eligible pay plus an additional 2–3% annual company contribution based on service. These employer contributions add meaningful long-term value beyond base pay.

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The Company
HQ: Charlotte, NC
208,000 Employees
Year Founded: 1784

What We Do

We make financial lives better for our clients and our communities through the power of every connection. Our employees are at the heart of this purpose, and are key to driving responsible growth. Every day, across the globe, our employees bring a commitment to our purpose and to driving responsible growth by living our values: deliver together, act responsibly, realize the power of our people and trust the team. A key aspect of driving responsible growth is doing so in a sustainable manner, a critical pillar of which is being a great place to work for our teammates.

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