What are the responsibilities and job description for the Data Science Solution Architect (AI/ML) position at Spiceorb?
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.
Key Responsibilities
- 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
Required Skills & Experience
- 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