Job Description

Data Science Solution Architect (AI/ML) Location: Denver, CO Onsite (F2F)

Role Summary Looking for a Data Science Solution Architect to design and deliver scalable AI/ML and LLM-driven solutions at enterprise scale. You will own end-to-end architecture from problem definition to production driving high-impact use cases like churn prediction, next-best-action, and lead scoring.

• Architect end-to-end AI/ML solutions (data modeling deployment monitoring)
• Design LLM & RAG-based systems (prompting, retrieval, evaluation)
• Build scalable solutions for churn, propensity, recommendations, and forecasting
• Define MLOps, governance, and model monitoring frameworks
• Partner with business stakeholders to translate use cases into architecture
• Collaborate with Data/AI Engineering for production deployment
• Present insights, architecture, and ROI to leadership
• Mentor teams and drive best practices

• 14+ years in Data Science/AI with strong solution architecture experience
• Hands-on with ML, Python, Spark, SQL, and cloud (AWS/Azure/Google Cloud Platform)
• Experience with LLMs, RAG, embeddings, vector DBs (FAISS/Pinecone/Qdrant)
• Strong expertise in MLOps, model deployment, and scalable system design
• Proven ability to deliver enterprise AI solutions with business impact

Preferred Telecom / CDP / Customer Analytics domain Experience in Fortune 100 environments

For applications and inquiries, contact: [email protected]

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