AI Solution Architect (Generative AI / Machine Learning)

AI Solution Architect (Generative AI / Machine Learning)

Why Tech9

Tech9 is shaking up a 20-year-old industry — and we’re not slowing down. Recognized by Inc. 5000 as one of the nation’s fastest-growing companies, ranked #23 among Utah’s fastest-growing companies, and named one of Forbes’ Top 500 Startup Companies to Work For (two years in a row!), we’re redefining what it means to build great software and great teams.

We invite you to interview with us, show us what you can do, and discover how Tech9 can provide the AI architecture opportunity you’ve been looking for.

About the Role

We are seeking a highly skilled AI Solution Architect to partner with our clients to lead the end-to-end technical strategy for AI modernization.

In this role, you will go function-by-function within the business to identify opportunities for AI, evaluate build vs. buy decisions, validate feasibility (data availability, security posture), and architect effective AI/ML solutions. You will serve as a technical authority across LLMs, applied ML, system integrations, and AI delivery patterns — ensuring the right balance between off-the-shelf solutions, commercial SaaS, and custom-built systems.

Responsibilities

• Collaborate with an AI Business Analyst to run function-level discovery, identify opportunities, and validate technical feasibility.
• Conduct build vs. buy evaluations across AI SaaS platforms, LLM providers, and custom development pathways.
• Assess data availability, quality, privacy posture, compliance, and security considerations for all proposed solutions.
• Architect production-grade AI/ML systems, including MLOps workflows, experimentation environments, and deployment strategies.
• Design AI solution patterns such as RAG pipelines, vector search, prompt orchestration, agent workflows, guardrails, and evaluation frameworks.
• Produce roadmaps, architectural diagrams, feasibility documents, and value-framing narratives for stakeholders.
• Partner with engineering, security, and compliance teams to ensure proposed solutions meet organizational standards.
• Communicate technical decisions clearly to both technical and non-technical audiences.
• Stay current with the rapidly evolving AI ecosystem across platforms, tools, frameworks, and best practices.

Minimum Qualifications

• 6–10+ years of experience in ML/AI engineering, with strong software engineering fundamentals.
• Strong experience assessing data readiness, privacy risks, access control requirements, and compliance constraints.
• Hands-on experience building and delivering production AI/ML systems, including MLOps familiarity.
• Excellent English communication skills, both written and verbal.
  Experience running stakeholder discovery, solution feasibility assessments, and roadmap creation.

Preferred Qualifications

• Experience with Azure AI services (Azure OpenAI, Cognitive Search, AI Studio).
• Familiarity with vector DBs, retrieval systems, prompt orchestration, and guardrail frameworks.
• Knowledge of GenAI solution patterns (RAG, agent workflows, automated evaluation frameworks).
• Prior experience as an AI Solution Architect, Tech Lead, or ML Lead.

What You’ll Love About Tech9

At Tech9, we prioritize freedom, flexibility, and craftsmanship. When you join us, you can expect:

• High-impact work on cutting-edge AI initiatives.
• Autonomy to architect meaningful solutions.
• A collaborative environment with talented teammates.
• Support to build software the right way.
• No unnecessary bureaucracy — just what you need to succeed.

Interview Process

Our interview process is designed to move efficiently while ensuring transparency and alignment:

1. Introductory Call- 15 min

• Initial conversation with our recruiting team to discuss background and role alignment.

2. On-Demand HireVue Screening- 15-30 min

• Behavioral and situational questions to help us understand your approach to problem-solving and communication.

3. Internal Technical Interview #1- 1 hour

• Deep dive into AI/ML fundamentals, solution design patterns, and architectural reasoning.

4. Internal Technical Interview #2- 1 hour

• Scenario-based problem-solving focused on MLOps, feasibility assessment, and build vs. buy judgment.

5. Hiring Manager Interview- 30 min

• Broader discussion about your experience, communication style, leadership qualities, and overall fit.

6. Client Interview 1 hour

• Final conversation with client stakeholders to assess alignment with business needs and delivery expectations.

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