Senior Engineer – Enterprise GenAI Platform Architect

Bank of America

. Define and lead the engineering approach for complex features delivering significant business outcomes .

Posted 10/21/2026full-timeUnited StatesSenior💰 $122,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in enterprise architecture and platform design, particularly in GenAI and distributed systems, with a focus on scalability, performance optimization, and compliance in regulated environments.

Highest-signal resume keywords

Enterprise ArchitectureGenAI/Agentic ArchitectureHigh Availability DesignCapacity PlanningPerformance Benchmarking

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Distributed Systems DesignPlatform ArchitecturePerformance OptimizationData GovernanceTelemetryReal-Time MonitoringAutomationCode ReviewsCI/CD CapabilitiesScaling Strategies

Tools & Technologies

Testing ToolsFrameworksObservability ToolsAI Model RegistriesGovernance Frameworks

Industry Keywords

BankingRegulated EnvironmentsIdentity Access ControlService IntegrationMulti-Agent Systems

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

Define and lead the engineering approach for complex features delivering significant business outcomes
Ensure design and engineering approaches for complex features align with the larger portfolio solution
Define the technology tool stack and evaluate new testing tools, frameworks, and practices
Enable teams and applications with CI/CD capabilities and engage technical stakeholders on CI/CD pipeline efficiency
Guide teams on design and best practices for high code performance, including pairing and code reviews
Deliver complex features end-to-end, including automation, for single or multiple teams at program level
Conduct research, design prototyping, and exploration of toolsets and components for release management, CI/CD, and features
Establish high-level solution needs with stakeholders and technical requirements with architects
Define reference architecture for GenAI use cases across model access, orchestration, retrieval, tool calling, agent patterns, and runtime controls
Produce architecture standards for identity, data boundaries, guardrails, observability, resiliency, and human oversight
Establish capacity and scaling strategies for the platform
Define resiliency architecture and service tiering models
Partner with platform engineering, security, and use-case owners to align solutions with approved GenAI patterns and business outcomes

Requirements

What you’ll need

10+ years in enterprise architecture, platform architecture, or distributed systems design
Deep experience designing platforms operating at scale, not just single-use applications
Strong experience with GenAI/agentic architecture: model gateways, RAG, vector retrieval, orchestration, tool calling, guardrails, and evaluation
Proven experience designing for high availability, scalability, and performance optimization
Experience with capacity planning and workload distribution across distributed systems
Experience defining standards for identity, access control, and secure service integration
Experience with data scope, governance, and controlled access in regulated environments
Familiarity with observability, auditability, and resilience patterns
Experience with telemetry, real-time monitoring/alerts, and traceability across distributed workflows
Bachelor's degree or equivalent professional experience
Banking or other highly regulated enterprise environment experience
Experience designing enterprise AI platforms supporting multiple teams and products at scale
Experience with AI model registries, lineage, and compliance metadata
Performance benchmarking and scaling strategies for AI workloads
Experience with Agentic RAG and complex multi-hop retrieval patterns
Experience with distributed, multi-agent systems operating under governance and control frameworks

Benefits

Comp & perks

Inclusive workplace and culture of caring
Opportunities to learn, grow, and build a career
Support for physical, emotional, and financial wellness
Affordable, competitive, and flexible benefits
Paid time off
Annual discretionary incentive plan eligibility
Benefits eligibility