Senior Engineer-AI & Full Stack Engineering Lead

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!

Position Summary :
This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery. Lead the design, development, and delivery of scalable enterprise applications and AI-enabled solutions across multiple business domains. Responsible for end-to-end solution delivery, including architecture, development, testing, deployment, and production support, while ensuring alignment with enterprise security, architecture, and compliance standards.

Responsibilities:

• Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution

• Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s)

• Enables team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline

• Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews

• Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level

• Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features

• Works with stakeholders to establish high-level solution needs and with architects for technical requirements

• Lead end-to-end delivery of AI and non-AI software solutions across multiple projects

• Design and implement scalable architectures (microservices, cloud-native, event-driven)

• Build and maintain backend systems using Java and Python

• Develop and integrate AI solutions (LLMs, RAG, agents, ML pipelines) into enterprise platforms

• Translate business requirements into technical designs and high-quality implementations

• Ensure adherence to enterprise standards for security, compliance, and performance

• Drive code quality, testing, and engineering best practices across teams

• Implement and manage CI/CD pipelines, monitoring, and production readiness

• Provide technical leadership and mentorship to engineers and review solution designs

• Collaborate with stakeholders to align technology delivery with business goals

Required Qualifications

• 10+ years of experience in software engineering and system design

• Proven experience delivering large-scale enterprise applications and AI solutions

Technical Skills

• Strong expertise in:

• Java (Spring Boot, Microservices)

• Python (AI/ML, APIs, data engineering)

• Hands-on experience with:

• AI/ML frameworks (OpenAI, Hugging Face, LangChain, etc.)

• RAG pipelines, embeddings, vector databases

• RESTful APIs, distributed systems

Architecture & Platform Skills

• Deep understanding of:

• Microservices, APIs, event-driven architectures

• Cloud platforms (Azure preferred)

• Containerization (Docker, Kubernetes)

AI/ML Knowledge

• Practical experience with:

• LLM-based applications and prompt engineering

• Model lifecycle management (training, deployment, monitoring)

• AI governance, risk, and explainability (preferred in regulated industries)

Desired Qualifications

• Experience in financial services or regulated industries

• Exposure to Microsoft ecosystem (Copilot Studio, Foundry, Fabric)

• Familiarity with agent orchestration, MCP, and AI platform integration patterns

• Experience with data privacy, compliance, and secure AI deployments

• Strong problem-solving and analytical thinking

• Excellent communication and stakeholder management

• Ability to operate in a fast-paced, ambiguous environmen

Skills:

• Automation

• Influence

• Result Orientation

• Stakeholder Management

• Technical Strategy Development

• Application Development

• Architecture

• Business Acumen

• Risk Management

• Solution Design

• Agile Practices

• Analytical Thinking

• Collaboration

• Data Management

• Solution Delivery Process

Shift:

1st shift (United States of America)

Hours Per Week: 

40