Solutions Architect 5 (AI Architect)

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

Peoria, United States | Posted on 11/10/2026

Role: Solutions Architect 5 (AI Architect)

Duration: 12 months

Location: Peoria, IL or Irving, TX (Full-onsite/ 5 days a week)

Job Description:

This requisition is for an AI Solution Architect contractorto support existing Clients architects in shaping and definingbusiness-driven enterprise AI and data use cases, including Generative AI. Theresource will participate in business discovery, translate use cases intoscalable solution designs, and provide architectural guidance to internaldevelopment teams across hybrid enterprise environments.

Position’s Contributions to Work Group

• Thisrole is intended for someone who can quickly engage with architects, businessstakeholders, and internal development teams to assess needs, evaluate solutionoptions, and define practical solution approaches for enterprise AI and datause cases, including Generative AI.
• Successin this role requires strong discovery, solution architecture, and cross-teamcollaboration skills.
• Therole operates across hybrid on-premises and cloud environments and supportssolution definition using approved enterprise platforms, services, andarchitectural patterns.
• Itis primarily focused on discovery, solution architecture, and implementationguidance rather than hands-on model development or day-to-day applicationcoding.

Typical task breakdown:

• Partnerwith existing architects and technical teams to shape solution approaches fornew and evolving business use cases.
• Participatein discovery sessions with business stakeholders to understand objectives, painpoints, constraints, and desired outcomes for proposed use cases.
• Translatebusiness and functional requirements into solution concepts, architecturerecommendations, and implementation considerations that align with enterprisestandards.
• Collaboratewith cross-functional teams, including architects, internal development teams,engineers, data scientists, machine learning engineers, and domain experts, torefine solution direction, provide implementation guidance, and supportdelivery planning.
• Createor demonstrate reference implementations or lightweight prototypes, whenappropriate, to illustrate recommended approaches for new or evolving usecases.
• Assesssolution options, tradeoffs, dependencies, and technical feasibility forproposed business use cases across hybrid enterprise environments.
• Facilitatealignment between business stakeholders and technical teams by clarifying usecase scope, assumptions, constraints, and recommended next steps.
• Supportevaluation and recommendation of approved tools, platforms, and solutionpatterns needed to enable business use cases in alignment with enterprisearchitecture and governance standards.
• Createclear documentation for proposed solutions, including architecture views,assumptions, dependencies, design considerations, and recommendedimplementation approaches.
• Contributeto reusable architecture guidance, design patterns, and solution documentationthat can support repeatable delivery across similar AI and data use cases.

Education & Experience Required:

• Bachelor’sdegree with 10 years of more of experience in this capacity.
• AnyCloud certification is a nice to have.

Required Technical Skills

(Required)

• Provenexperience designing and implementing enterprise AI and Generative AIsolutions, including familiarity with enterprise AI platforms, modelintegration patterns, solution architecture considerations for production usecases, and modern AI solution approaches such as NLP, RAG, vector-based search,enterprise search, prompt orchestration, agentic AI patterns, multi-agentworkflows, and orchestration concepts.
• Experiencefacilitating discovery sessions, gathering business and functionalrequirements, and translating them into solution architecture recommendationsand implementation considerations.
• Experiencedesigning scalable enterprise solutions across on-premises and cloudenvironments, including familiarity with distributed computing platforms suchas Microsoft Azure, AWS, and/or Google Cloud Platform (GCP), and modernapplication and integration patterns such as APIs, microservices, containerizedworkloads, cloud-native architectures, and enterprise identity/securityintegration.
• Experienceguiding internal development teams through implementation planning and solutionalignment, including the ability to create reference implementations orlightweight prototypes and apply programming languages and common tools used inenterprise AI and cloud solution development.
• Abilityto create reference implementations or lightweight prototypes to help internaldevelopment teams understand and apply recommended solution patterns for newuse cases.
• Strongcommunication, facilitation, and collaboration skills, including the ability towork effectively with both business stakeholders and technical teams.

Preferred Qualifications:

• Experiencewith specific technologies, platforms, frameworks, or specialized approachessuch as Azure OpenAI, Amazon Bedrock, Vertex AI, AI Refinery, MicrosoftFoundry, LangChain, LangGraph, GraphRAG, Snowflake, Dataiku, Agent Skills/agentharness patterns, MCP servers, and similar enterprise AI and data platforms.
• Experiencewith container platforms, orchestration technologies, or scalable deploymentpatterns such as Kubernetes, AKS, EKS, or similar enterprise hostingenvironments.
• Experiencedeveloping reusable architecture patterns, reference implementations, orsolution accelerators to support adoption across multiple teams or business usecases.