Solutions Architect

Solutions Architect (GenAI)

Location: Buffalo, NY

Hire Type: Contingent

Target Hourly Rate: $68.00/hour

Work Model: Hybrid, 4 days onsite

No C2C, C2H, 1099 or Visa Sponsorship/Transfer available

Nature & Scope:

Positional Overview

We are seeking a visionary Solutions Architect to act as the solution architecture extension of EA – Data & AI (AI domain), translating enterprise conceptual, logical, and high-level physical AI architectures into detailed physical design guidance for generative AI solutions.

Role & Responsibility:

Tasks That Will Lead To Your Success

• Provides architecture guidance for:
• Integration of LLMs and GenAI services into enterprise applications using standardized patterns (APIs, event-driven, orchestration frameworks)
• Data exchange and prompt/response patterns, ensuring secure, governed, and auditable data flows aligned with enterprise data architecture
• Model usage and fit-for-purpose design, applying EA-defined model selection frameworks and decision trees to guide solution design
• Security, compliance, and guardrails, including safe prompt handling, data protection, and policy enforcement
• Telemetry and observability, ensuring visibility into usage, performance, and risk indicators for GenAI-enabled solutions Supports the realization of embedded AI use cases, ensuring solutions align with enterprise requirements for scalability, cost efficiency, and regulatory compliance.
• Partners with engineering teams throughout the SDLC—from design through production, providing design oversight, guiding implementation decisions, and ensuring adherence to enterprise architecture standards and AI governance models.
• Collaborates closely with EA, data, platform engineering, and cyber teams to ensure consistent adoption of enterprise AI patterns, while feeding delivery insights back into continuous improvement of architecture standards.
• Enterprise Architecture Collaboration: Collaborate with Enterprise Architecture to ensure all solutions adhere to architectural standards, reference models, and technology roadmaps.
• Technical Documentation: Produce deliverables such as architecture diagrams, data flow maps, security models, and technical documentation for solution handoff and operational support.
• Agile/DevOps Leadership: Guide Agile/DevOps teams in implementing CI/CD pipelines, automated testing, and infrastructure-as-code for data solutions.

Education And Experience Required:

• Education: Bachelor’s/Master’s in Computer Science, Engineering, or related field.
• Experience: 5 years in solution architecture or technical implementation, with 2 years in GenAI models (Microsoft AI Foundry preferred)
• Proficient in system design, integration, and implementation across multiple technology domains.
• Excellent communication, collaboration, and critical thinking skills.
• Understanding of financial regulations, compliance, and security standards.