AI Engineer - Full Time Position - New York - Bank of America -

Responsibilities:

• 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

Required Qualifications

• 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
  • 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: Bachelore degree or equivalent professional experience