recruit22 LLC
Solution Architect Contractor - Central Timezone
recruit22 LLC, Chicago, Illinois, United States, 60290
Contract - 3 months+
No 3rd party vendor and no sponsorship offered at this time
The Solution Architect for AI Enablement is responsible for defining and guiding the technical architecture that supports enterprise-wide AI and ML capabilities. This role serves as a strategic bridge between business objectives and technical execution-designing scalable, secure, and compliant solutions that power AI-driven tools, products, automations, and integrations.
Key Responsibilities:
Architecture & Design
Lead the design of end-to-end solution architectures for AI/ML workloads, including data ingestion, model training, deployment, monitoring, and lifecycle management. Define technical patterns and reference architectures for various AI use cases (e.g., generative AI, predictive analytics, computer vision, natural language processing). Ensure architectural designs align with enterprise standards, cloud governance policies, and security frameworks. Platform Enablement
Evaluate AI-enabling platforms and solutions, providing insights to support platform selection and recommending adoption paths based on business value, feasibility, and governance impact. Collaborate with platform subject matter experts to implement selected solutions. Lead rapid proof-of-concept (POC) initiatives to validate new ideas and technologies. Data Pipeline Implementation
Partner with data teams and external vendors to establish data pipelines in Azure, enabling ingestion from on-premises systems. Integrate AI solutions with enterprise systems, data lakes, and APIs to support both real-time and batch inference. Security, Compliance & Governance
Develop and implement AI governance frameworks, including lifecycle management, model explainability, and performance monitoring. Embed responsible AI principles, data privacy, and regulatory compliance into architectural standards. Collaborate with cybersecurity and governance teams to ensure robust controls are in place. Identify technical and resource gaps that may hinder successful AI adoption. Recommend process improvements to enhance AI delivery readiness. Provide input on skill gaps, role requirements, and organizational dependencies necessary for operationalizing AI solutions.
Contract - 3 months+ No 3rd party vendor and no sponsorship offered at this time
Key Responsibilities:
Architecture & Design
Lead the design of end-to-end solution architectures for AI/ML workloads, including data ingestion, model training, deployment, monitoring, and lifecycle management. Define technical patterns and reference architectures for various AI use cases (e.g., generative AI, predictive analytics, computer vision, natural language processing). Ensure architectural designs align with enterprise standards, cloud governance policies, and security frameworks. Platform Enablement
Evaluate AI-enabling platforms and solutions, providing insights to support platform selection and recommending adoption paths based on business value, feasibility, and governance impact. Collaborate with platform subject matter experts to implement selected solutions. Lead rapid proof-of-concept (POC) initiatives to validate new ideas and technologies. Data Pipeline Implementation
Partner with data teams and external vendors to establish data pipelines in Azure, enabling ingestion from on-premises systems. Integrate AI solutions with enterprise systems, data lakes, and APIs to support both real-time and batch inference. Security, Compliance & Governance
Develop and implement AI governance frameworks, including lifecycle management, model explainability, and performance monitoring. Embed responsible AI principles, data privacy, and regulatory compliance into architectural standards. Collaborate with cybersecurity and governance teams to ensure robust controls are in place. Identify technical and resource gaps that may hinder successful AI adoption. Recommend process improvements to enhance AI delivery readiness. Provide input on skill gaps, role requirements, and organizational dependencies necessary for operationalizing AI solutions.
Contract - 3 months+ No 3rd party vendor and no sponsorship offered at this time