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# Senior Engineer-AI & Full Stack Engineering Lead

- **Company:** Bank of America
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Automation of Tests, Microsoft Azure, Microsoft Online Services, Cloud Computing, Cloud Engineering, Software Quality, Code Review, Continuous Integration, Information Engineering, Distributed Systems, Python (Programming Language), Machine Learning, Release Management, OpenAI, Tensorflow, Software Engineering, Software Systems, Enterprise Software Applications, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Spring-boot, Generative AI, Backend, Event Driven Architecture, Microsoft Copilot Studio, Containerization, AI Platforms, Kubernetes, Deployment Automation, HuggingFace, Data Management, Machine Learning Operations, Restful APIs, Docker, Microservices
- **Published:** November 7, 2026
- **Apply:** https://ghr.wd1.myworkdayjobs.com/Lateral-US/job/Charlotte/Senior-Engineer-AI---Full-Stack-Engineering-Lead_26041519-1

## About the Role

* 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), * 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

## Description

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., * 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