Solutions Architect

The Imagine Group, An Imagine Company; Buffalo (NY); Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

The Imagine Group, An Imagine Company, is seeking a visionary Solutions Architect to extend EA – Data & AI. You will translate AI architectures into detailed design guidance for generative AI solutions across enterprise contexts.

Responsibilities include integrating LLMs into enterprise apps, ensuring secure data flows, applying model selection frameworks, and collaborating with EA, data, platform, and cyber teams to uphold architecture standards and AI governance.

Formación

• 5+ years in solution architecture or technical implementation.
• 2+ years in GenAI models (Microsoft AI Foundry preferred).
• Proficient in system design, integration, and implementation across multiple tech domains.
• Strong written and oral communication; collaboration and critical thinking.

Responsabilidades

• Provide architecture guidance for integrating LLMs and GenAI services into enterprise apps.
• Ensure secure, governed, auditable data flows and model usage alignment with enterprise architecture.
• Collaborate with engineering across SDLC to ensure adherence to architecture standards and AI governance.
• Produce architecture diagrams, data flow maps, security models, and technical docs for handoff.

Conocimientos

Solution architecture

GenAI models

Architecture governance

Agile/DevOps

Educación

Bachelor’s or Master’s in Computer Science or related field

Herramientas

Microsoft AI Foundry

Descripción del empleo

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.