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GenAI Solutions Architect
Luxoft
Buffalo, USA
Full-time
Senior · 7+ years experience
Discovered Today
• 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.
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Ready to ScanKey skills for this role
• 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.
Key Skills for This Role
• 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.
Full Job Posting
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.
Skills
- 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.
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