Maven Companies
Maven Companies

AI Solution Architect (Onsite Role)

Denver, CO, US • Posted 8 hours ago • Updated 8 hours ago
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • AI
  • Gen AI
  • RAG
  • LLM
  • CoPilots
  • Python
  • data pipelines
  • Snowflake
  • LangChain / Semantic Kernel / vector DBs

Summary

 

 Sr AI Solutions Arch

Denver, CO

Onsite 5 days.

 

Mission

Drive adoption of AI/GenAI across the organization by translating business problems into scalable AI solutionsand ensuring delivery from idea → production.

Core Responsibilities

  • Define AI / GenAI strategy & roadmap
  • Identify high-value use cases (automation, copilots, analytics, etc.) 
  • Translate business needs → AI solution design (RAG, agents, ML models)
  • Lead cross-functional execution (engineering, data, product, design) 
  • Own end-to-end lifecycle (discovery → build → deploy → optimize) 
  • Establish AI governance, standards, and best practices
  • Track impact (ROI, adoption, performance metrics) 

 Primary Skills (Must-Have)

These were the “non-negotiables”:

1. AI / GenAI Expertise

  • LLMs, RAG, copilots, NLP 
  • Prompt engineering basics 
  • Understanding of ML lifecycle 

2. Product + Strategy Thinking

  • Strong product management mindset 
  • Roadmap creation & prioritization 
  • Business problem decomposition 

3. Solution Architecture Awareness

  • Ability to design end-to-end AI systems 
  • APIs, data pipelines, integrations 
  • Cloud-native patterns 

4. Execution Leadership

  • Drive delivery across teams 
  • Stakeholder management 
  • Decision-making under ambiguity 

5. Technical Fluency

  • Comfortable with: 
    • Python / SQL (at least working level) 
    • Data platforms (Snowflake, Databricks, etc.) 
    • Cloud (Azure / AWS / Google Cloud Platform) 

Secondary Skills (Good-to-Have)

These made candidates stronger but weren’t strict requirements:

1. Hands-on GenAI Tooling

  • LangChain / Semantic Kernel / vector DBs 
  • Fine-tuning / embeddings familiarity 

2. Agile & Delivery Frameworks

  • Scrum / SAFe 
  • Product operating models 

3. Data & Analytics Depth

  • Experimentation (A/B testing) 
  • Metrics design for AI products 

4. UX for AI

  • Conversational design 
  • Human-in-the-loop systems 

5. Domain Experience

  • Industry-specific AI use cases (finance, healthcare, etc.)

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10196450
  • Position Id: SVMA78
  • Posted 8 hours ago
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SV

Shobhit Vasudev

Recruiter @ Maven Companies
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