Job Description | Senior Data & AI Solutions Architect | W2 Only
Job Title : Senior Data & AI Solutions Architect
Work Mode : Remote
Experience: 12+ Years
Job Type : Full-time
Must-Have Skills
3+ years hands-on Snowflake experience (Snowpark, Cortex, data sharing)
3+ years delivering production LLM / GenAI solutions (RAG, agents, finetuning)
Proven legacy-to-cloud migration experience involving IBM DB2 or equivalent
Experience with Talend, modern data integration, and real-time ingestion
Knowledge of relational (e.g., PostgreSQL), NoSQL, NewSQL, and vector/LLM databases
Demonstrated experience with legacy-to-cloud data migration involving IBM DB2 or equivalent mainframe/relational systems
Proven delivery of agentic AI systems or multi-model orchestration pipelines in enterprise environments
12+ years in data architecture, data engineering, or enterprise architecture
5+ years in financial services (life insurance, annuities, investments preferred)
Description
The Senior Data & AI Solutions Architect is a strategic, hands-on technical expert responsible for designing and delivering enterprise data and artificial intelligence solutions across the Knights of Columbus core business lines of Life Insurance, Investments, Membership and Charities. This is a senior level individual contributor role who will be responsible for operating as a domain authority and trusted technical partner driving outcomes through influence, collaboration, and deep expertise. Reporting directly to the Director of Applied AI & Data Science, this role partners closely with business leaders, data analysts, data movement engineers, infrastructure teams, and peer architects to translate business needs into architectures that are secure, governed, and built to scale. The Senior Data & AI Solutions Architect plays a critical role in continuing to modernize the Knights of Columbus data landscape including bridging legacy mainframe and DB2 platforms with a cloud and AIenabled ecosystem that includes Snowflake, PostgreSQL, Talend, Microsoft Copilot, Snowflake Cortex, and enterprise large language models. This foundation is essential to enabling Deep Research LLM and agentic AI capabilities across the organization. Core Responsibilities: Define and govern enterprise Data & AI architecture across legacy, cloud, and AI-native platforms; Architect hybrid data integration across mainframe, DB2, Snowflake, Postgres, Talend, and event streaming; Design and deliver LLM and agentic AI solutions using Snowflake Cortex, Azure AI Foundry, Azure OpenAI Service, Copilot Studio, and orchestration frameworks; Establish RAG, vector database, and embedding strategies for enterprise research and analytics; Coordinate the continual modernization of ETL and Lakehouse architecture; Enable Snowflake governance: RBAC, dynamic masking, row-level security, encryption; Ensure compliance with OSFI, SOX, NAIC, PIPEDA/GDPR, SEC/state insurance regulations; Partner with business, risk, compliance, legal, IT, Information Security and vendors as the lead technical advisor.
