AI Solution Architect

AI Solution Architect

Stack is seeking an AI Solution Architect to serve as the senior technical authority and delivery lead for enterprise AI solutions. This role owns the end-to-end design, engineering, and deployment of AI systems — spanning generative AI, LLM engineering, RAG pipelines, smart routing, agentic workflows, enterprise system integrations, intelligent layer development on Databricks, and production AI infrastructure — while driving technical adoption across the organization.

The AI Solution Architect is the builder and owns the data architecture, the Python code, the integrations, the GitLab repositories, the deployment pipelines, and the entire intelligent layer with the technical reliability of every AI solution in production. This role owns the AI system architecture and engineering layer that sits after the data foundation layer all the way to business outcome. This role reports directly to the Head of AI & Data Strategy and serves as the primary technical engineering authority for all AI solution delivery across the enterprise.

Key Responsibilities

• Generative AI, LLM Engineering & Intelligent Routing
• Predictive & Prescriptive AI Engineering
• Agentic AI Architecture & Multi-Agent Systems
• Databricks Intelligence Layer & Python Engineering
• GitLab, CI/CD & AI Solution DevOps
• Enterprise System Integration, API Engineering & Data Ingestion
• AI Solution Governance, Standards & Technical Enablement

Must-Have Qualifications

• Location: Denver-based candidates are strongly preferred. This role is designed as a collaborative hybrid position with regular onsite engagement (approximately 3 days/week).
• Work Schedule: Hybrid
• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
• 7+ years of experience in AI/ML engineering, solution architecture, or enterprise software engineering — with at least 3 years working with production AI or ML systems.
• Advanced RAG expertise: chunking strategies, embedding model selection, hybrid retrieval, reranking, multi-hop retrieval, query decomposition, and context window optimization.
• Demonstrated experience implementing LLM smart routing: multi-model arbitration, intent-based routing, fallback chains, and cost-optimized model selection logic.
• Hands-on agentic AI experience: orchestration frameworks (LangChain, LlamaIndex, AutoGen, or equivalent), tool registry design, memory architecture, and multi-agent coordination patterns.
• Databricks ML Runtime proficiency as a practitioner: building and running Python notebooks, Jobs, and Workflows for AI workloads; MLflow for experiment tracking, model registry, and deployment.
• GitLab proficiency: repository management, CI/CD pipeline construction, branching strategy, and code review workflows for AI solution codebases.
• Data ingestion experience: Python-based connectors, Azure Function triggers, and API-driven data feeds from enterprise systems (NetSuite, Procore, SharePoint, or equivalent).
• Strong understanding of vector databases and semantic search: Azure AI Search, Pinecone, Weaviate, Qdrant, Azure OpenAI, Azure ML, Copilot Studio or equivalent.
• Deep technical fluency with REST APIs, OAuth 2.0, webhooks, and enterprise integration patterns across ERP, ITSM, project management, and HR platforms.
• Strong communication skills — able to translate AI engineering decisions into clear language for executive and business audiences.

This Might Be Right For You If

• You have built RAG pipelines that went to production and you have the opinions and scars to prove it — you know when to use hybrid retrieval, when reranking matters, and what actually breaks at scale.
• You have implemented smart routing in production — not just switching between GPT-3.5 and GPT-4 on cost, but designing intent classifiers, confidence thresholds, and fallback chains that make routing decisions the model cannot make for itself.
• You have built agentic systems where agents are making real decisions in real enterprise workflows — not just demos, but production systems with tool libraries, memory, escalation logic, and audit trails.
• You are fluent in Databricks end to end especially as an ML practitioner — you build notebooks, run Jobs, track experiments in MLflow, and deploy models to serving endpoints without needing the platform team to hold your hand.

Why Stack?

• Competitive compensation package with strong benefits including medical, dental, vision, 401K, flexible spending accounts, and cell phone subsidy.
• A culture of appreciation with peer-to-peer recognition programs.
• Fun is part of our DNA — events, game nights, happy hours, and barbecues.
• We're growing — this is a great time to join and make an impact!

Stack is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, mental or physical disability, genetic information, veteran status, or any other status protected by federal, state, or local law.

Compensation Range: $171,190.00 - $189,846.00

This Might Be Right For You If:

• You are a strong communicator, you are persuasive and clear, blending analytics with experience in decision-making.
• You do not get flustered easily. You can juggle multiple priorities while balancing urgent requests with shifting timelines and deliverables.
• You are a team builder. You take the time to understand and develop the strengths of your resources while formulating long-term plans for the growth and success of the team.
• You are naturally curious and driven toward continual improvement. While you celebrate your successes, you take time to review and analyze campaigns for future learning.

Why Stack?

• We offer a competitive compensation package with strong benefits, including medical, dental, and vision insurance, a 401K program, flexible spending accounts – even a cell phone subsidy.
• We foster a culture of appreciation, including peer-to-peer recognition and rewards programs.
• Fun is part of our DNA, with events, game nights, happy hours, and barbecues.
• We're growing – this is a great time to join and make an impact!

Stack is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, mental or physical disability, genetic information, veteran status, or any other status protected by federal, state, or local law.

Note to external agencies: We are not accepting any blind submissions or resumes/cvs from recruitment agencies. Any candidates sent to Stack Infrastructure, Inc. will not be accepted or considered as a submission without a signed agreement in place. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Stack Infrastructure, Inc.