Senior Engineer

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: We are seeking a highly skilled Senior Engineer – AI-Enabled Development and Observability to design, build, test, and operate end-to-end solutions supporting monitoring, observability, and AI-enabled platforms within a large, complex banking environment. This role is intentionally designed as an elite individual contributor ("army of one") — a technologist who owns solutions from idea to production and leverages modern AI platforms such as OpenAI and Anthropic as force multipliers to accelerate delivery speed, quality, and operational effectiveness. You will independently deliver production-grade systems—from concept to runtime—while shaping the organization’s approach to AI-enabled monitoring, observability, and intelligent operations in a regulated financial services environment. Design, develop, test, deploy, and operate monitoring and observability solutions for distributed systems and AI-enabled platforms supporting Splunk, Dynatrace, Datadog, Grafana/Prometheus and Open Telemetry Leverage AI platforms such as OpenAI and Anthropic to accelerate development, testing, troubleshooting, and documentation Architect and implement agentic AI workflows, production RAG systems, multi-model orchestration, and AI-specific observability Build AI evaluation pipelines, hallucination detection, guardrails, and Responsible AI controls Own solutions end-to-end, ensuring security, compliance, reliability, and performance Partner with SRE, production support, platform teams, and governance stakeholders Responsibilities: We are seeking a highly skilled Senior Engineer – AI-Enabled Development and Observability to design, build, test, and operate end-to-end solutions supporting monitoring, observability, and AI-enabled platforms within a large, complex banking environment This role is intentionally designed as an elite individual contributor ("army of one") — a technologist who owns solutions from idea to production and leverages modern AI platforms such as OpenAI and Anthropic as force multipliers to accelerate delivery speed, quality, and operational effectiveness You will independently deliver production-grade systems—from concept to runtime—while shaping the organization’s approach to AI-enabled monitoring, observability, and intelligent operations in a regulated financial services environment Required Qualifications: 8+ years of experience in software engineering, platform engineering, or SRE roles within large-scale, complex environments Strong proficiency in Python, Java, Go, or similar languages, with hands-on experience delivering and maintaining production code Strong software engineering fundamentals, including API design, data structures, version control, testing, and debugging Demonstrated ability to leverage AI-assisted development to materially improve delivery speed, quality, and outcomes Hands-on experience with LLMs, embeddings, retrieval-augmented generation (RAG), and model orchestration patterns Practical experience with vector databases and semantic search platforms, including Weaviate, Pinecone, or equivalent technologies Proven expertise in structured output and reliable extraction, including function calling, JSON schema enforcement, and tool-use patterns Strong discipline in prompt and context engineering as a practice, including prompt versioning, A/B testing, dynamic few-shot selection, and system prompt and chain-of-thought architecture Experience implementing CI/CD pipelines for AI systems, including evaluation-gated deployments and regression testing across model changes Solid understanding of data privacy, security, and Responsible AI principles in enterprise environments Excellent communication skills, with the ability to influence technical and non-technical stakeholders, including senior leaders Proven ability to operate independently Desired Qualifications: Experience in financial services or other highly regulated enterprise environments Familiarity with AI telemetry and observability, including model‑adjacent and evaluation platforms Experience with graph‑based retrieval, including Graph RAG and hybrid graph + vector approaches Experience with agent memory and state management for long‑running or multi‑step workflows Comfort navigating enterprise governance, including model risk management, production readiness, and information security reviews Proven success as a senior individual contributor, operating autonomously with minimal oversight 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 Pay Transparency details US - NJ - Pennington - 1300 American Blvd - Hopewell Bldg 3 (NJ2130) Pay and benefits information Pay range $122,000.00 - $200,000.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible 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. Benefits This role is currently benefits eligible. 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. Bank of America is committed to help employees through the transition period when they’re displaced as a result of a workforce reduction, realignment or similar measure. Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity. Getting started Regardless of the position you are interested in, the starting points to building your resume are the same: 1. Determine the job or types of jobs you want to do and research their responsibilities and qualifications. 2. Think about why you can do the job and make a list of your skills that are relative to the job. 3. Identify experiences or accomplishments that show your proficiency in the skills required for the job. 4. Summarize your abilities, accomplishments and skills into a brief, concise document. Considerations when writing a resume • Do be brief. Resumes should be 1-2 pages in length. • Do be upbeat and active in your wording. • Do emphasize what you have done clearly and concretely. • Do be neat and well organized. • Do have others proofread and critique your resume. Spell check. Make it error free. • Do use high quality, white or light colored 8½ x 11 paper. Use a laser printer if possible. • Don't be dishonest, always tell the truth about yourself in the most flattering light. • Don't include salary history or requirements. • Don't include references. • Don't include accomplishments that do not support your professional goals. • Don't include anything that isn't relevant. (For example, don't mention your fondness for swimming unless you want to work on the water.) • Don't use italics, underlining, shadows or other fancy treatments. Seven steps to a successful interview 1. Anticipate –Put yourself in the interviewer's position. What do you believe the interviewer is most interested in? Why do you think you have been invited to interview? 2. Research –What are the primary functions of the line of business? What are the success factors for the job? Is there a job description available? 3. Assess –Think about your skills, abilities, knowledge, interests, traits, values and accomplishments. Match them to what you know about the job. Consider which ones you should highlight. 4. Prepare Answers –Think about what the interviewer may ask, determine what the best answer is and write it down. 5. Prepare Questions – Interviewing is a two-way street. By asking thoughtful questions, you communicate your interest and learn a lot about the job. Choose two or three questions to ask your interviewer. Avoid asking a lot of questions about vacation time or breaks. 6. Practice – It may seem awkward, but it is the best way to come across well in an interview. Practice your own "great responses" with others or in front of a mirror until you appear relaxed and at ease. 7. Follow-up – Send a brief follow-up letter to the interviewer. Keep in mind that the many job searchers will not send a follow-up letter. Sending one can become a competitive advantage. Pay Transparency - Privacy Statement -