Senior Data & AI Solutions Architect

Knights of Columbus; New Haven (CT); On-site; USD 153,000 - 260,000; Full time

Benefits offered by this job

401(k) retirement savings plan

Professional development and tuition reimbursement

Health insurance options

Paid parental and childbirth leave

Flexible workweek schedules

Job summary

Knights of Columbus is seeking a Senior Data & AI Solutions Architect in Connecticut. This strategic role involves designing and delivering enterprise data and AI solutions across business lines, including Life Insurance and Investments. The ideal candidate will have over 12 years of experience in data architecture, with substantial knowledge of Snowflake, DB2, and AI technologies.

This position offers a competitive salary range of $153,000 to $260,000 based on experience and qualifications, along with comprehensive benefits including retirement savings plans, health insurance options, and professional development opportunities.

Qualifications

• 3+ years hands-on Snowflake experience.
• 3+ years delivering production LLM / GenAI solutions.
• Proven legacy-to-cloud migration experience.

Responsibilities

• Define and govern enterprise Data & AI architecture.
• Architect hybrid data integration across platforms.
• Design and deliver LLM and agentic AI solutions.

Skills

Snowflake experience (Snowpark, Cortex, data sharing)

Production LLM / GenAI solutions

Legacy‑to‑cloud migration experience

Experience with Talend

Knowledge of relational and NoSQL databases

Experience with multi‑model orchestration pipelines

Education

12+ years in data architecture or enterprise architecture

5+ years in financial services

Tools

PostgreSQL

Talend

Job description

Knights of Columbus is a tax‑exempt Catholic fraternal benefit society that provides financial security to members and their families through life insurance, long‑term care insurance, disability income insurance, investment and annuity products. Charity is at the core of our mission: our profits are donated to help those in need and to support our faith – $1.73B over the past ten years.

Overview

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 Knights of Columbus’ core business lines of Life Insurance, Investments, Membership and Charities. This senior‑level individual contributor role operates 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, the role partners closely with business leaders, data analysts, data movement engineers, infrastructure teams, and peer architects to translate business needs into secure, governed, and scalable architectures. It also plays a critical role in modernizing the data landscape, bridging legacy mainframe and DB2 platforms with cloud and AI‑enabled ecosystems that include Snowflake, PostgreSQL, Talend, Microsoft Copilot, Snowflake Cortex, and enterprise large language models.

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 continuous 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

Skills & Qualifications

• 3+ years hands‑on Snowflake experience (Snowpark, Cortex, data sharing)
• 3+ years delivering production LLM / GenAI solutions (RAG, agents, fine‑tuning)
• 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

Education

• 12+ years in data architecture, data engineering, or enterprise architecture
• 5+ years in financial services (life insurance, annuities, investments preferred)

Compensation

The wage range for this role in Connecticut is $153,000 – $260,000 and may vary based on skill set, experience, licensure, certifications, and other business needs.

Authorization

Authorization to work in the United States is required. This position is not eligible for visa sponsorship.

Physical Demands

Must be able to remain in a stationary position for a majority of the workday.

Benefits

• 13 paid holidays per year in addition to vacation and paid sick leave, and flexible workweek schedules
• Professional development: certifications, designation, and tuition reimbursement
• 401(k) retirement savings plan with matching company contributions, and fully funded cash balance retirement plans
• Short‑term disability and term life insurance fully paid; up to 12 weeks of childbirth leave under STD policy; one week of fully paid parental leave for all new parents, including adoptive and foster parents
• A variety of health insurance options, including premium‑level family coverage and a pre‑tax Health Savings Account with employer contributions. The order’s health plans do not cover abortion, sterilization, or contraception, and the order has helped advocate for other employers who do not want to provide coverage.
• Long‑term disability insurance; dental insurance; vision insurance; health club membership reimbursement; employee assistance program