Senior Engineer – Enterprise GenAI Platform Architect

Bank of America

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

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

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in enterprise architecture and platform design, focusing on high availability, scalability, and performance optimization. Proficient in defining technology stacks, CI/CD capabilities, and architecture standards for complex systems, particularly in regulated environments.

Highest-signal resume keywords

Enterprise ArchitectureGenAI/Agentic ArchitectureHigh Availability DesignCapacity PlanningPerformance Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AutomationArchitectureApplication DevelopmentData ManagementSolution DesignAgile PracticesRisk ManagementTechnical Strategy DevelopmentPerformance BenchmarkingDistributed Systems Design

Soft Skills

InfluenceResult OrientationStakeholder ManagementAnalytical ThinkingCollaboration

Tools & Technologies

CI/CD ToolsTelemetryReal-Time MonitoringObservability ToolsAI Model Registries

Industry Keywords

BankingRegulated EnvironmentsGovernanceCompliance MetadataDistributed Multi-Agent Systems

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

Define and lead the engineering approach for complex features and significant business outcomes
Ensure design and engineering approaches for complex features align with the larger portfolio solution
Define the technology tool stack and evaluate or adapt testing tools, frameworks, and practices
Enable teams and applications with CI/CD capabilities and engage technical stakeholders to improve 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 one 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
Design for high availability, fault tolerance, and production-grade performance
Establish platform capacity and scaling strategies
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
Clarify responsibilities across Developer, Use Case Owner, and End User personas

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, including 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
Desired: Banking or other highly regulated enterprise environment experience
Desired: Experience designing enterprise AI platforms supporting multiple teams and products at scale
Desired: Experience with AI model registries, lineage, and compliance metadata
Desired: Performance benchmarking and scaling strategies for AI workloads
Desired: Experience with Agentic RAG, complex multi-hop retrieval patterns, distributed multi-agent systems, and governance/control frameworks
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
Ability to work 1st shift in the United States of America
40 hours per week

Benefits

Comp & perks

Inclusive workplace and culture of caring
Opportunities to learn, grow, build a career, and make an impact
Support for physical, emotional, and financial wellness
Affordable, competitive, and flexible benefits
Paid time off
Resources and support for employees
Eligibility for annual discretionary incentive award based on individual, line of business/group, and company performance
Benefits eligibility