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AI Solutions Architect

Direct Supply · Milwaukee, WI · Full time

Posted Aug 11, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about an AI-powered solution you designed that solved a complex customer problem. How did you decide on the architecture?

What they are checking: Real architecture ownership tied to customer value, which the role is built around.

How do you stay hands-on technically while also doing strategic and architectural work?

What they are checking: Whether they can keep credibility with engineers in a blended role.

Tell me about a calculated risk you took on a new technology. How did it turn out?

What they are checking: Entrepreneurial judgment and honest reflection on taking risks.

What would you do

You are connecting engineering, product and customer-facing teams. How do you keep them aligned on one solution?

What they are checking: Ability to be the technical link across groups, which the posting describes.

A customer wants an AI feature you think will be costly and not very profitable. How do you handle it?

What they are checking: Balancing customer value with profitability, which the posting names together.

How do you explain an AI system's limits to a non-technical customer so expectations stay realistic?

What they are checking: Whether they can set honest expectations with customers so an AI solution is not oversold and then disappoints.

About the work

How do you decide whether a problem needs a large language model, a traditional ML model, or no AI at all?

What they are checking: Judgment that matches the tool to the problem instead of defaulting to the newest option.

Walk me through a reference architecture for an AI feature that has to be reliable, secure and affordable at scale.

What they are checking: Breadth across data, models, integration, monitoring and cost in a scalable design.

How do you design for data privacy when an AI system handles information from senior care settings?

What they are checking: Awareness of sensitive data handling in healthcare-adjacent systems.

How would you measure whether an AI solution you architected actually delivered value after launch?

What they are checking: Outcome focus and the habit of proving value rather than assuming it.

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The full job description

As published by Direct Supply.

Position Summary: Direct Supply is building the future of healthcare technology with industry-leading products, solutions and platforms to help improve the lives of millions of seniors and those who care for them. In the AI Solution Architect pos ition, you’ll design and deliver scalable, AI-powered solutions that solve complex customer and business problems. You’ll act as a technical leader, connecting engineering, product, and customer-facing teams to accelerate innovation and value delivery. This role blends hands-on technical work with strategic thinking, customer collaboration, and architectural leadership. Skills Needed: • Champions Innovation – Propels teams to unlock value with cutting-edge , tech-enabled innovations. Stays ahead of the tech curve, ready to embrace the next big thing . Leads with an entrepreneurial mindset and takes calculated risks. • Applies AI and Technology – Identifies opportunities to boost efficiency and add value using AI and tech. Embraces and applies digital innovations and tech solutions to build business. Eagerly learns and integrates new technologies where they matter most. • Provides Customer Value – Delivers cutting-edge , tech-driven solutions paired with outrageous customer service with an eye to profitability. Seizes opportunities that reward both the customer and DS, fostering robust customer relationships. • Solves Problems – Uses technology and sharp logic to craft inventive solutions to complex issues, digging deep to tackle root causes. Conducts impartial analysis, leaving no stone unturned for comprehensive insights. • Strong technical expertise in modern AI tools and platforms such as agent-based architectures and cloud-native systems. • Demonstrated ability to influence key stakeholders , translating business goals into technical direction. • Excellent ability to lead complex solution design efforts across multi-functional teams. • Adept at creating rapid prototypes and MVPs to validate value, iterate quickly, and demonstrate feasibility. What you’ll do and impact: • Design and deliver scalable AI-powered architectures that solve real customer problems and align with business strategy. • Serve as a trusted advisor to internal and external stakeholders, guiding solution decisions with credibility and clarity. • Translate ambiguous customer challenges into clear technical requirements and proof-of-concept prototypes. • Partner with engineering, product, and operations teams to ensure AI solutions are maintainable, sustainable, and future-forward. • Stay hands-on with emerging technologies and continuously evaluate new tools and techniques to keep solutions cutting-edge . • Document and evolve architectural standards and best practices. • Provide coaching and mentoring to team members to grow internal capabilities in AI. • Support business development efforts by articulating AI solution value to customers and partners. Requirements • Bachelor’s degree in Computer Science , Engineering, or related field. • 10+ years of experience in software engineering or architecture, with demonstrated success delivering customer-facing solutions. • 2+ years in a technical leadership or mentorship role. • Strong understanding of AI/ML technologies, cloud platforms (e.g., AWS, Azure), data systems, and system integration. • Proven experience evaluating architectural tradeoffs (e.g., performance, scalability, cost, cloud vs. on-prem). • Experience in Agile/Scrum teams and iterative product development. • Excellent communication skills for both technical and non-technical audiences. Additional Items of Interest: • Familiarity with state-of-the-art AI frameworks and LLMs, such as LangChain , Hugging Face, or OpenAI APIs. • Experience working directly with customers or cross-functional leadership teams. • Exposure to MLOps , AIOps, or responsible AI frameworks is a plus. • Ability to travel by car and/or plane up to 10%. Job to be performed in the location listed. Generous benefit package available. © 2013 to 2026 Direct Supply, Inc. All rights reserved.

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