AI Solution Architect

ROLE SUMMARY: We are looking for an AI Solution Architect who can take an enterprise AI initiative from vision to execution. You will shape AI strategy with C-level stakeholders, architect cloud-native GenAI and ML platforms on Azure and Databricks, and lead cross-functional teams across data science, MLOps and product engineering to deliver them. You are equally comfortable presenting a roadmap to a board, reviewing a RAG pipeline design and coaching an engineer through a production incident.

Experience

• 12+ years in data, analytics or software engineering, including 5+ years leading AI/ML platforms or products in an enterprise setting.

• Proven record of taking ML and GenAI solutions into production at scale, with measurable business impact.

• Hands-on delivery of at least one production LLM/RAG solution, plus hands-on experience with agentic AI patterns.

• Experience leading multidisciplinary teams and presenting to C-level executives.

• Bachelor's or master's degree in computer science, Data Science, Engineering, Statistics or a related field.

Cloud & MLOps: Azure (ADF, Azure ML, Synapse, Event Hubs, Key Vault), Databricks, Kubernetes, Docker, Terraform, CI/CD

Data & ML: Python, SQL, PySpark, MLflow, TensorFlow, Gurobi, Dataiku, SAS, Alteryx

GenAI & Agentic AI: OpenAI and other LLMs, LangChain, Milvus / ve