Burtch Works
Job Title
AI Solution Architect
Location Chicago, IL or Detroit, MI
Job Summary We are seeking an experienced and forward‑thinking AI Solution Architect to join an established client in the professional services industry. The ideal candidate blends deep software engineering and architectural expertise with strategic thinking, strong communication skills, and a passion for building scalable, business‑aligned AI solutions. This role will involve defining AI strategy, designing end‑to‑end architectures, selecting technologies, and ensuring seamless integration of AI capabilities into enterprise systems.
Key Responsibilities
Architect AI Solutions: Lead the design and development of scalable AI‑driven systems, creating architectural blueprints and ensuring alignment with business goals.
Cross‑Functional Collaboration: Partner with engineering, product, and business stakeholders to define requirements, validate use cases, and build consensus around solution direction.
Software Engineering Excellence: Champion coding best practices, maintainability, and scalability; guide the team on Python engineering, model integration, and development standards.
Integration & API Design: Design, oversee, and optimize APIs and integration strategies for embedding AI components into broader enterprise systems.
Technical Leadership: Provide hands‑on guidance on Python, React, and AI/ML frameworks to ensure seamless end‑to‑end integration.
Communication & Alignment: Present complex concepts, solution designs, and project updates to technical and non‑technical audiences with clarity and precision.
Technology Strategy: Stay current on AI, ML, and software trends to influence platform strategy and long‑term architectural decisions.
Coaching & Mentorship: Mentor engineering talent, elevate team capabilities, and help shape the AI team’s operating rhythm.
Requirements
Education:
Bachelor’s degree in Information Technology, Software Engineering, Computer Science, or a related field (Master’s degree preferred).
Advanced degrees in AI, machine learning, or data science are highly desirable.
Experience:
10+ years of technical experience across IT architecture, infrastructure, databases, cloud development, software architecture, business analysis, DevOps, or product/project management.
5+ years of experience in AI‑related roles such as AI Engineer, ML Engineer, or Data Scientist.
Skills:
Strong software engineering background with expert proficiency in Python.
Experience building and scaling user interfaces using React.
Deep understanding of API design, integration strategies, and deployment.
Hands‑on experience with leading AI/ML frameworks (TensorFlow, PyTorch, scikit‑learn, etc.).
Strong analytical and problem‑solving skills.
Exceptional communication skills across all organizational levels.
Ability to drive consensus and operate effectively in a fast‑paced, multidisciplinary environment.
Strong organizational and leadership capabilities; highly motivated self‑starter with high productivity and initiative.
Preferred Qualifications
Passion for exploring emerging AI technologies and their business applications.
Ability to balance short‑term delivery with long‑term innovation strategy.
Strong collaboration, facilitation, and cross‑functional leadership skills.
Experience with enterprise application integration middleware solutions.
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Location Chicago, IL or Detroit, MI
Job Summary We are seeking an experienced and forward‑thinking AI Solution Architect to join an established client in the professional services industry. The ideal candidate blends deep software engineering and architectural expertise with strategic thinking, strong communication skills, and a passion for building scalable, business‑aligned AI solutions. This role will involve defining AI strategy, designing end‑to‑end architectures, selecting technologies, and ensuring seamless integration of AI capabilities into enterprise systems.
Key Responsibilities
Architect AI Solutions: Lead the design and development of scalable AI‑driven systems, creating architectural blueprints and ensuring alignment with business goals.
Cross‑Functional Collaboration: Partner with engineering, product, and business stakeholders to define requirements, validate use cases, and build consensus around solution direction.
Software Engineering Excellence: Champion coding best practices, maintainability, and scalability; guide the team on Python engineering, model integration, and development standards.
Integration & API Design: Design, oversee, and optimize APIs and integration strategies for embedding AI components into broader enterprise systems.
Technical Leadership: Provide hands‑on guidance on Python, React, and AI/ML frameworks to ensure seamless end‑to‑end integration.
Communication & Alignment: Present complex concepts, solution designs, and project updates to technical and non‑technical audiences with clarity and precision.
Technology Strategy: Stay current on AI, ML, and software trends to influence platform strategy and long‑term architectural decisions.
Coaching & Mentorship: Mentor engineering talent, elevate team capabilities, and help shape the AI team’s operating rhythm.
Requirements
Education:
Bachelor’s degree in Information Technology, Software Engineering, Computer Science, or a related field (Master’s degree preferred).
Advanced degrees in AI, machine learning, or data science are highly desirable.
Experience:
10+ years of technical experience across IT architecture, infrastructure, databases, cloud development, software architecture, business analysis, DevOps, or product/project management.
5+ years of experience in AI‑related roles such as AI Engineer, ML Engineer, or Data Scientist.
Skills:
Strong software engineering background with expert proficiency in Python.
Experience building and scaling user interfaces using React.
Deep understanding of API design, integration strategies, and deployment.
Hands‑on experience with leading AI/ML frameworks (TensorFlow, PyTorch, scikit‑learn, etc.).
Strong analytical and problem‑solving skills.
Exceptional communication skills across all organizational levels.
Ability to drive consensus and operate effectively in a fast‑paced, multidisciplinary environment.
Strong organizational and leadership capabilities; highly motivated self‑starter with high productivity and initiative.
Preferred Qualifications
Passion for exploring emerging AI technologies and their business applications.
Ability to balance short‑term delivery with long‑term innovation strategy.
Strong collaboration, facilitation, and cross‑functional leadership skills.
Experience with enterprise application integration middleware solutions.
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