AI Solution Architect

Overview

Remote
80 - 90
Contract - Independent
Contract - W2
Contract - 24 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Artificial Intelligence
Generative Artificial Intelligence (AI)
Data Governance
Machine Learning (ML)

Job Details

Senior Solution Architect - Agentic AI

REMOTE - CST -PREFER Chicago or IL or Midwest based candidates

 
 *Retail/eCommerce background!

 

This person needs to have very grounded technical (AI architecture and governance, data) and business alignment expertise.  More hands-on technical leadership necessary here for AI governance and development standardization than most Solutions Architect roles.  That said, they do need to be able to carry on with the actual solutions architecture work.

 

CORE JOB RESPONSIBILITIES:

· Technical Leadership: Lead the strategic direction for AI product development, including solution architecture, technical roadmaps, and implementation standards across multiple AI initiatives and platforms.

· Architecture: Develop AI solution approaches, model selection, and deployment strategies

· Strategy: Translate business requirements into technical AI roadmaps, working with AI Product Manger and business stakeholders to align AI initiatives with organizational goals while establishing measurement frameworks to track impact.

· Cultural Champion: Drive the adoption of AI-focused agile development practices, and partner with Responsible AI Governance team to promote transparency, explainability and ethical use of AI.

· Product Management: Partner with the Product Management Organization to identify opportunities for AI implementation, build consensus around AI priorities, and communicate complex technical concepts to non-technical stakeholders

 

ADDITIONAL RESPONSIBILITIES:

· Enable the design and implementation of AI-powered solutions for enhancing the customer shopping experience, drive operational efficiency across the enterprise, optimizes imventory, pricing, supply chain, and other operations

· Support and guide the development of data pipelines, feature engineering, and model training workflows

· Guide teams in implementing MLOps practices for model deployment, monitoring, and maintenance – help contribute towards standards and best practices

· Ensure AI solutions adhere to privacy, security, and ethical standards

· Drive the development of reusable AI components and frameworks to accelerate future initiatives

· Collaborate with enterprise architecture to establish AI platform standards and integration patterns

· Lead and facilitate technical reviews and provide guidance on AI model performance, scalability, and business impact

· Establish metrics and KPIs to measure the effectiveness of AI initiatives

· Develop POCs (proof of concepts) to validate AI applications before full-scale implementation

· Partner with Product Owners to translate business requirements into AI-specific technical requirements

· Stay current with emerging AI technologies and methodologies, evaluating their potential application

· Provide technical thought leadership across the organization on AI capabilities and possibilities

 

REQUIREMENTS FOR CONSIDERATION:

· Master's degree in Computer Science, Data Science, AI/ML, or equivalent professional experience

· 10+ years of experience in AI/ML product development or related technical fields

· Experience developing AI solutions enterprise wide

· Demonstrated success leading AI initiatives in personalization, recommendation systems, computer vision, or operational efficiency

· In-depth knowledge of machine learning algorithms, frameworks, and best practices

· Hands-on experience with modern ML frameworks (PyTorch, TensorFlow, etc.) and cloud-based AI services

· Proven experience with agile methodologies in the context of AI/ML

· Track record of implementing successful AI solutions that delivered measurable value

· Experience with MLOps practices and tools for model deployment and monitoring

· Demonstrated ability to translate complex business problems into AI solution approaches

· Excellent communication skills with ability to explain AI concepts to both technical and non-technical audiences

· Experience in retail or e-commerce preferred

· Familiarity with AI governance, ethics, and responsible AI implementation

· Ability to work effectively in an onshore/offshore development model

· Travel required per the company policy

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