Solutions Architect 5 AI Architect

Role: Solutions Architect 5 – AI Architect
Location: Peoria, IL or Irving, TX
Pay rate: $80-$82/hr
Position Overview

Our client is seeking a highly experienced AI Solutions Architect for an enterprise AI architecture opportunity with one of our clients, a leading global organization in the manufacturing industry.

The ideal candidate will bridge business requirements and technical execution by defining scalable, secure, and production-ready AI and Generative AI solutions.

This is a senior-level architecture position focused on technical discovery, enterprise solution design, technology evaluation, architectural strategy, and implementation guidance across hybrid cloud and on-premises environments.

The role emphasizes enterprise AI architecture and technical leadership rather than hands-on machine learning model development or day-to-day application coding.

Key Responsibilities

• Partner with enterprise architects, business stakeholders, and technical teams to identify AI, Generative AI, and data-driven business opportunities.

• Lead business and technical discovery sessions to understand objectives, functional requirements, constraints, and expected outcomes.

• Translate business requirements into scalable enterprise solution architectures and actionable technical implementation strategies.

• Architect enterprise AI solutions incorporating Retrieval-Augmented Generation (RAG), vector databases, enterprise search, prompt orchestration, Agentic AI, and multi-agent workflows.

• Evaluate AI platforms, architectural alternatives, integration patterns, technical dependencies, implementation risks, and technology feasibility.

• Provide architectural direction and technical guidance to engineering teams throughout solution planning and implementation.

• Collaborate with AI engineers, data scientists, ML engineers, application developers, and business domain experts.

• Develop lightweight prototypes and reference implementations to validate architectural recommendations and demonstrate solution patterns.

• Recommend enterprise AI platforms, cloud services, APIs, SDKs, and reusable integration architectures.

• Ensure architecture designs align with enterprise security, identity management, governance, compliance, and technology standards.

• Develop architecture diagrams, technical documentation, design specifications, and implementation guidelines.

• Establish reusable enterprise AI reference architectures, design patterns, and solution accelerators to support organization-wide AI adoption.

Required Qualifications

• Bachelor's degree with 10+ years of relevant professional experience in enterprise solution architecture, AI architecture, or related technical architecture roles.

• Demonstrated experience designing and implementing enterprise AI and Generative AI solutions.

• Strong understanding of enterprise AI architecture concepts, including:

  • Natural Language Processing (NLP)

  • Retrieval-Augmented Generation (RAG)

  • Vector databases and vector search

  • Enterprise search architectures

  • Prompt engineering and orchestration

  • Agentic AI and multi-agent workflows

  • AI model integration and production deployment patterns

• Proven ability to conduct business and technical discovery sessions and translate requirements into enterprise architecture solutions.

• Experience designing scalable architectures across hybrid on-premises and cloud environments.

• Working knowledge of at least one major cloud platform: Microsoft Azure, AWS, or Google Cloud Platform (Google Cloud Platform).

• Strong understanding of modern application and integration architectures, including APIs, microservices, containers, cloud-native solutions, and enterprise security integration.

• Ability to develop lightweight prototypes and reference implementations to demonstrate architectural approaches.

• Working knowledge of Python, JavaScript/TypeScript, REST APIs, SDKs, and development notebooks.

• Experience providing architectural direction and implementation guidance to engineering and development teams.

• Excellent communication, stakeholder management, technical facilitation, and cross-functional collaboration skills.

Preferred Qualifications

Experience with one or more of the following technologies and platforms is highly desirable.

Enterprise AI Platforms

• Azure OpenAI

• Amazon Bedrock

• Google Vertex AI

• AI Refinery

• Microsoft Foundry

AI Frameworks and Architecture

• LangChain

• LangGraph

• GraphRAG

• Agent Skills

• Agent Harness Patterns

• Model Context Protocol (MCP) Servers

• Multi-agent orchestration

Data Platforms

• Snowflake

• Dataiku

Cloud and Container Technologies

• Kubernetes

• Azure Kubernetes Service (AKS)

• Amazon Elastic Kubernetes Service (EKS)