Senior Engineer

Bank of America•Pennington, AL

5d•$122,000 - $200,000•Onsite

About The Position

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

Requirements

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

Nice To Haves

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

Responsibilities

Design, build, test, and operate end-to-end solutions supporting monitoring, observability, and AI-enabled platforms within a large, complex banking environment
Own solutions from idea to production and leverage modern AI platforms such as OpenAI and Anthropic as force multipliers to accelerate delivery speed, quality, and operational effectiveness
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