Senior Data & AI Architect
Core
Design, build, and manage end-to-end data infrastructure and governance frameworks for generative AI and machine learning workloads in regulated sectors.
Role type
Senior Data & AI Architect
Builds
Feature stores, vector databases, embedding layers, scalable ingestion pipelines, and embedded governance frameworks.
Domain
Financial Services and Med-Tech
Deliverable
production ML models
Required skills
Data architecture, LLM/RAG design, vector databases, MLOps, data quality automation, regulatory compliance engineering, cloud platforms, Python, SQL, orchestration tools, containerization, IaC
Preferred skills
Data Mesh, decentralized architectures, emerging AI trends (Agentic Reasoning)
Technologies
Databricks, Snowflake, BigQuery, Python, SQL, dbt, Apache Spark, Airflow, Prefect, Pinecone, pgvector, Weaviate, MLflow, Kubeflow, SageMaker, Vertex AI, Docker, Kubernetes, Terraform, Git, MLflow
Responsibilities
Design technical foundations for generative AI/ML workloads; implement active metadata strategies for automated data quality and observability; deploy embedded governance frameworks as policy-as-code; define modeling standards for structured/unstructured data; conduct client data landscape assessments; automate regulatory compliance into CI/CD pipelines; coach client teams and mentor junior colleagues.
Seniority
Senior, hands-on IC
