GenAI Solutions Architect

Role Description

A leading financial services client is seeking a GenAI Solutions Architect to serve as the hands-on consulting architect ensuring AI use cases across the bank are designed and connected the right way — aligned to the enterprise AI platform architecture, approved integration patterns, and governance standards. This is a deeply technical role for an architect who still builds: producing reference architectures, integration patterns, and working examples, while pairing with delivery teams to accelerate adoption and prevent rework and governance escapes.

Key Responsibilities

• Serve as the consulting architect for AI use-case teams across the bank, shaping solution designs, data flows, model access patterns, and integration approaches.
• 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.
• 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.
• 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.
• Pair with application teams that lack AI delivery experience, providing hands-on design and build guidance.
• Create and deliver architecture enablement materials, design guides, and pattern documentation.
• Support solution reviews in governance forums with clear, evidence-based architecture assessments.
• Transfer patterns, documentation, and working knowledge to bank FTEs throughout the engagement.

Qualifications

• 8+ years of 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, 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 Skills

• 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.