Senior AI Solutions Architect for Enterprise GenAI

3Core Systems, Inc; Peoria (IL); On-site; USD 138,000 - 276,000; Full time

Job summary

3Core Systems, Inc. is seeking a Solutions Architect 5 (AI Architect) to lead enterprise AI and data use case shaping across hybrid environments. The role emphasizes discovery, architecture guidance, and collaboration with business stakeholders and engineering teams.

The workload focuses on defining scalable approaches for Generative AI, integrating with on-premises and cloud platforms, and delivering implementable patterns and reference prototypes for internal teams.

Qualifications

• Bachelor's degree with 10+ years of experience in this capacity.
• Nice to have any Cloud certification.

Responsibilities

• Shape solution approaches for new and evolving business use cases.
• Participate in discovery sessions with business stakeholders.
• Translate requirements into architecture recommendations and implementation considerations.
• Collaborate with architects, engineers, data scientists and domain experts to refine direction.
• Create reference implementations or lightweight prototypes as needed.
• Assess options, tradeoffs and feasibility across hybrid environments.
• Clarify use case scope, assumptions and next steps with stakeholders.
• Evaluate tools and patterns to enable enterprise AI use cases.
• Create documentation covering architecture views and dependencies.
• Contribute to reusable architecture guidance and patterns.

Skills

Enterprise AI

Solution architecture

Discovery sessions

Cross-team collaboration

Reference implementations

Cloud platforms

NLP / Generative AI

API / microservices

Kubernetes

LangChain

Education

Bachelor's degree

Tools

Azure

AWS

GCP

APIs

Kubernetes

LangChain

Job description

3Core Systems, Inc. is seeking a Solutions Architect 5 (AI Architect) to lead enterprise AI and data use case shaping across hybrid environments. The role emphasizes discovery, architecture guidance, and collaboration with business stakeholders and engineering teams.

The workload focuses on defining scalable approaches for Generative AI, integrating with on-premises and cloud platforms, and delivering implementable patterns and reference prototypes for internal teams.