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# Engineer - Enterprise GenAI Platform Architect

- **Company:** Bank of America
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $122,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Computing Platforms, Automation of Tests, Code Review, Continuous Integration, Distributed Systems, Fault Tolerance, Performance Tuning, Release Management, Software Engineering, System Availability, Multi-Agent Systems, AI Platforms, Data Management
- **Published:** September 8, 2026
- **Apply:** https://www.themuse.com/jobs/bankofamerica/senior-engineer-enterprise-genai-platform-architect

## About the Role

* 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, evaluation
 * Proven experience designing for:
 + high availability, scalability, and performance optimization
 + capacity planning and workload distribution across distributed systems
 * Experience defining standards for:
 + identity, access control, and secure service integration
 + data scope, governance, and controlled access in regulated environments
 * Familiarity with:
 + observability, auditability, and resilience patterns
 + telemetry, real-time monitoring/alerts, and traceability across distributed workflows

Desired Qualifications:

 * 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 distributed, multi-agent systems operating under governance and 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

Minimum Education Requirements: Bachelor degree or equivalent professional experience

## Description

This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery., * Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution

 * Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s)
 * Enables team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline
 * Guides and influences team(s) on design and best practices for high code performance -e.g. pairing, code reviews
 * Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level
 * Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features
 * Works with stakeholders to establish high-level solution needs and with architects for technical requirements
 * Define the reference architecture for GenAI use cases across model access, orchestration, retrieval, tool calling, agent patterns, and runtime controls, ensuring designs are scalable, reusable, and aligned to enterprise standards.
 * Produce architecture standards covering identity, data boundaries, guardrails, observability, resiliency, and human-oversight patterns, with explicit guidance on designing for high availability, fault tolerance, and production-grade performance
 * 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 ensure new solutions align to approved GenAI patterns and business outcomes, with clear separation of responsibilities across Developer, Use Case Owner, and End User personas


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