AI Platform Lead: Full-Stack & LLM-Microservices

Bank of America; Charlotte (NC); On-site; USD 140,000 - 190,000; Full time

Job summary

Bank of America is seeking an experienced software engineering leader to define and drive AI-enabled features across complex domains. You will own the engineering approach, deliver high-impact technology, and mentor teams to deliver robust AI and non-AI solutions.

The role focuses on building scalable backend services in Java and Python, integrating AI capabilities into enterprise systems, and guiding architectural decisions while aligning with security and compliance standards.

Qualifications

• 10+ years of software engineering and system design.
• Proven experience delivering large-scale enterprise apps and AI solutions.
• Strong Java (Spring Boot, Microservices) and Python (AI/ML, APIs).
• Hands-on with AI/ML frameworks (OpenAI, HF, LangChain).
• RAG pipelines, embeddings, vector databases.
• RESTful APIs and distributed systems.
• Cloud platforms (Azure preferred).
• Docker/Kubernetes containerization.
• LLM-based apps and prompt engineering.
• Model lifecycle management.

Responsibilities

• 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.
• Create and review technical design documents, architecture diagrams, and standards.
• Drive reusability, modularity, and scalability across solutions.
• Design and manage data ingestion, transformation, and processing pipelines.
• Work with structured and unstructured data, including financial and operational datasets.
• Implement feature engineering, model deployment, and monitoring pipelines.

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

Tools

Docker

Kubernetes

OpenAI

Hugging Face

LangChain

Job description

Bank of America is seeking an experienced software engineering leader to define and drive AI-enabled features across complex domains. You will own the engineering approach, deliver high-impact technology, and mentor teams to deliver robust AI and non-AI solutions.

The role focuses on building scalable backend services in Java and Python, integrating AI capabilities into enterprise systems, and guiding architectural decisions while aligning with security and compliance standards.