AI Solutions Architect

Job Description

About Catalyze Labs

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Catalyze Labs is an AI-native systems and product studio. We partner with enterprises to design and deploy production AI systems that sit inside real operations; often messy, regulated, and deeply human.

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Our work spans healthcare, financial services, logistics, and enterprise operations. We don’t sell tools or experiments. We build end-to-end systems that combine AI, automation, software, and people, and we stay involved until they work in the real world.

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Our client counterparts vary widely depending on the organization and problem: CTOs, COOs, product leaders, engineers, operators, and functional VPs. What they have in common is responsibility for outcomes.

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The Role

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We’re hiring an AI Solutions Architect to lead the design of complex AI systems from problem framing through deployment.

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This is a client-facing, architecture-led role focused on system design, orchestration, and decision-making, not day-to-day production coding. You’ll work closely with clients and internal engineers to translate ambiguous operational problems into scalable, production-ready AI solutions.

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This role is a strong fit for a senior architect (or a standout mid-level builder) who wants to grow into a Lead Architect / Partner-track position over time.

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What You’ll Do

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• Lead architecture and system design for client AI initiatives
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• Translate business and operational problems into end-to-end AI systems
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• Design workflows that combine LLMs, automation, APIs, data systems, and human review
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• Define system boundaries, responsibilities, failure modes, and escalation paths
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• Serve as a technical thought partner to client stakeholders (CTO, product, engineering, operations, etc.)
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• Collaborate with engineers to guide implementation and productionization
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• Evaluate tools, frameworks, and platforms ... and decide when simplicity beats novelty
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• Document architectures, tradeoffs, and patterns that scale across clients
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• Contribute to internal standards, reusable components, and solution templates
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What We’re Looking For

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Core Qualifications

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• Experience designing and owning complex software or systems architectures
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• Strong understanding of modern AI systems, especially LLM-based workflows
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• Comfort working in ambiguity and defining the problem before solving it
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• Ability to communicate clearly with both technical and non-technical stakeholders
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• Experience in client-facing or cross-functional environments
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• Systems thinker who considers reliability, adoption, and real-world constraints
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Bonus (Nice to Have)

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• Experience with workflow/orchestration tools
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• Experience integrating AI into legacy systems or UI-driven workflows
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• Background in regulated or high-stakes environments (healthcare, finance, enterprise ops)
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• Startup, studio, or consulting experience where ownership matters
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What This Role Is (and Isn’t)

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This role is:

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• Architecture-led and outcome-driven
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• Client-facing and collaborative
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• Focused on shipping real systems
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This role is not:

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• A research or experimentation role
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• A prompt-engineering-only role
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• A pure backend/frontend engineering position
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• A strategy-only or slide-deck role
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Growth & Path

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This role is designed to grow into a Lead Architect → Partner track position for the right person. That means increasing ownership over system design, client relationships, and internal standards; while staying close to the work.

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Why Catalyze Labs

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• Work on real AI deployments with real impact
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• High trust, high ownership environment
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• Direct exposure to enterprise decision-makers
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• Influence how AI systems are actually built and adopted
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• Small, senior team with strong technical and operational standards
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