Tech Stack
Azure
Job Description, Responsibilities & Requirements
About the Position
GenAI Solutions Architect
We are seeking a GenAI Solutions Architect to design and connect AI use cases across the bank, ensuring alignment with enterprise AI platform architecture and governance standards.
Responsibilities
Solution Architecture & Design Consulting
- Serve as the consulting architect for AI use-case teams across the bank: shape solution designs, data flows, model access patterns, and integration approaches aligned to the enterprise AI platform and gateway architecture.
- Produce and maintain reference architectures, design patterns, and working examples for common use-case shapes (RAG applications, document processing, workflow automation, agent-based patterns).
- Review solution designs against platform standards and governance requirements before build; document findings and drive remediation with delivery teams.
- Advise on model selection, prompt/context architecture, retrieval design, and oversight/guardrail patterns appropriate to each use case's risk tier.
Platform Alignment & Standards Adoption
- Ensure all designs route model access through the governed enterprise gateway with correct entitlements, quotas, and logging; prevent parallel or ungoverned access paths.
- Translate governance standards into architecture requirements delivery teams can implement, and feed practical gaps back into the standards process.
- Partner with platform engineering on the evolution of platform capabilities based on real use-case demand.
- Document network, identity, data-classification, and environment-separation considerations for solution designs.
- Partner with Cybersecurity architecture on AI threat modeling, prompt-injection risk, and adversarial-testing requirements for solution designs.
Enablement & Capability Transfer
- Pair with application teams that lack AI delivery experience; provide hands-on design and build guidance through their first implementations.
- Create and deliver architecture enablement materials, design guides, and pattern documentation in the bank's repositories.
- Support solution reviews in governance forums with clear, evidence-based architecture assessments.
- Transfer patterns, documentation, and working knowledge to bank FTEs throughout the engagement so capability persists post-contract.
Requirements
Must have
- Minimum of 7 years' experience in solution architecture, application architecture, or senior engineering roles, including hands-on delivery of cloud-native applications.
- Hands-on experience architecting and delivering GenAI/LLM-based solutions: model integration, RAG pipelines, prompt/context engineering, and agent or workflow patterns.
- Strong Azure experience: Azure OpenAI/AI services, API Management, Entra ID, Key Vault, networking and landing-zone concepts, and environment separation.
- Demonstrated experience producing reference architectures, integration patterns, and design documentation adopted by multiple teams.
- Experience designing within security, risk, and compliance constraints in a regulated environment.
- Strong consulting skills: stakeholder communication, design facilitation, and the ability to influence without authority.
Nice to have
- Financial services experience and familiarity with banking SDLC governance (design gates, architecture review, permit-to-build/operate models).
- Experience with AI gateway/governance patterns: model allowlisting, entitlement-based access, usage controls, audit logging.
- Experience with vector stores, retrieval services, evaluation harnesses, and MCP/tool-integration patterns.
- Experience mentoring teams new to AI delivery.
We Offer
- Competitive salary
- Opportunity to work with cutting-edge AI technologies
- Professional growth and development opportunities
About the Company
Join our team and contribute to the forefront of AI innovation in the financial sector.
Contact
Location: Wilmington, US, Delaware, United States of America
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