Bank of America currently has 20 active AI-related job listings. The majority of these roles, 70%, are focused on agents, with post-training and data roles each comprising 10%. Engineering is the dominant function, with 18 listings. Recent hiring trends show a significant increase, with 14 new AI roles posted in the last 30 days, representing a 180% increase from the prior 30-day period.
Currently tracking 15 active AI roles, down 26% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $105k–$246k (avg $192k).
Bank of America currently has 23 active AI-related roles in our index. The most common open titles are: Artificial Intelligence Senior Security Engineer, Corporate Security Professional - Corporate Security Technology Innovation Manager, Data Scientist I, Data Scientist II, Director; Senior Architect. Most positions are in Engineering and Research.
Bank of America's active AI hiring is concentrated in: agents (57%), data (17%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Bank of America is hiring AI talent in: United States (22 roles).
Job postings at Bank of America most frequently mention: System Design, AI Safety, Statistics, Large Language Models (LLMs), Generative AI.
In the past 30 days, Bank of America has posted 17 new AI-related roles. That is a +89% change versus the prior 30 days (9 → 17).
| Title | Stage | AI score |
|---|---|---|
| Senior Engineer-AI Inference Senior Engineer focused on designing, building, and serving Generative AI inferencing capabilities for a large enterprise platform. This role involves deploying and performance-tuning models (e.g., using vLLM/Triton), implementing RAG, and establishing monitoring and evaluation frameworks for AI/ML services. | ServeAgent | 8 |
| Senior Cloud Engineer - GenAI Platform Engineering This role is responsible for building and operating the cloud infrastructure layer for a Generative AI platform, enabling secure and scalable deployment of agent-based applications, APIs, and model-serving workloads. The role involves designing and managing containerized environments, developing deployment pipelines, and engineering scalable cloud architectures across AWS, Azure, and GCP. | Serve |
| 7 |
| Senior Technology Manager Global Data-Network Operations This role leads a global team responsible for the strategy, governance, and operational reliability of Bank of America's global data network. The primary focus is on transforming operations to an AI and automation-first model to predict, prevent, and remediate network issues at scale. Key responsibilities include managing teams, defining technology strategy, ensuring compliance, and advancing automation and AI-assisted operations for network services. | ServeData | 7 |
| Corporate Security Professional - Corporate Security Technology Innovation Manager This role drives a proactive, enterprise-wide security technology program, focusing on strategic planning, innovation, and continuous improvement. It emphasizes balancing robust security measures with an enhanced end-user experience, optimizing resources, and fostering consistency across all security services. Key responsibilities include building a technology strategy, translating security outcomes into measurable objectives, prioritizing platforms, driving adoption of advanced technologies like AI/ML and automation, leading infrastructure modernization, and setting standards for evaluation, data use, and model risk. | Serve | 5 |
| Vice President; Software Engineer Software Engineer (VP) at Bank of America focused on building and deploying machine learning pipelines for model training and inference, integrating predictions into dashboards, and developing data processing and ETL pipelines. Requires experience with Spark, Hadoop, Trino, Airflow, Python, AWS, and CI/CD. | Serve | 5 |