Senior Engineer – AI-Enabled Development & Observability

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace attracting and developing exceptional talent supporting our teammates physical emotional and financial wellness recognizing and rewarding performance and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America you can build a successful career with opportunities to learn grow and make an impact. Join us!

Role Overview:

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 will independently deliver production-grade systemsfrom concept to runtimewhile shaping the organizations approach to AI-enabled monitoring observability and intelligent operations in a regulated financial services environment.

Key Responsibilities:

• 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

Required Qualifications:

• 8 years of experience in software engineering platform engineering or SRE roles within large-scale complex environments
• Strongproficiencyin Python Java Go or similar languages with hands-on experience delivering andmaintainingproduction code
• Strong software engineering fundamentals including API design data structures version control testing and debugging
• Demonstrated ability toleverageAI-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 includingWeaviate Pinecone or equivalent technologies
• Provenexpertisein 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 tooperateindependently

Preferred Qualifications:

• Experience in financial services or other highly regulated enterprise environments
• Familiarity with AI telemetry and observability including modeladjacent and evaluation platforms
• Experience with graphbased retrieval including Graph RAG and hybrid graph vector approaches
• Experience with agent memory and state management for longrunning or multistep 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:

Hours Per Week:

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