Senior Engineer – Agentic AI

Job not on LinkedIn

🕒 February 3

🏢🏡 New York City – Hybrid

💵 $122k - $200k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Bank of America

WebsiteLinkedInAll Job Openings

10,000+ employees

🏦 Banking

💸 Finance

💳 Fintech

Banking • Finance • Fintech

Bank of America is a leading global financial institution that provides a comprehensive range of banking, investment, and financial services to individuals, businesses, and institutions. Committed to responsible growth, the bank offers personal banking, small business support, wealth management services, and access to capital markets. With a focus on economic and social progress, Bank of America aims to drive sustainable finance, promote diversity, and support community development through various initiatives.

📋 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.

🎯 Requirements

• 10+ years in software engineering/architecture with 2+ years leading AI/LLM or intelligent automation solutions in production, ideally at enterprise scale. • Proven experience implementing Agentic AI solutions (tool‑use orchestration, planning, memory/state) and integrating them with SDLC platforms. • Hands‑on with GitHub Copilot (org‑level policies, telemetry, governance), Microsoft Copilot Studio (plugins/connectors), and Azure AI Foundry (Prompt Flow, eval/monitoring, safety and compliance). • Deep knowledge of RAG, prompt & context engineering, and vector search; experience building knowledge graphs and integrating them into retrieval workflows. • Strong grasp of LLMOps/MLOps: dataset curation, eval design, regression testing for prompts/agents, observability, safety/guardrails, rollout strategies. • Expertise with SDLC toolchains: GitHub, CI/CD, IaC, testing frameworks, SAST/DAST, artifact repositories, service catalogs, and runbooks. • Ability to lead cross‑functional programs, manage risk, and communicate with executive and engineering stakeholders. • Familiarity with responsible AI principles, data privacy, and secure software development practices.

🏖️ Benefits

• This role is eligible to participate in the annual discretionary plan. • Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. • We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.