Senior Data and AI Solution Architect

Nesco Resource; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Nesco Resource, LLC is seeking a Senior Data & AI Solutions Architect to design and deliver enterprise data and AI solutions across core business lines. You will partner with business leaders and engineering teams to translate needs into scalable, secure architectures that blend legacy systems with cloud and AI capabilities.

The role requires hands-on expertise in Snowflake, LLM/GenAI, and data integration across mainframe to modern platforms, with a track record in financial services and

Qualifications

• 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 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).

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.
• Establish RAG, vector database, and embedding strategies for enterprise research and analytics.
• Coordinate 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

Snowflake

LLM/GenAI

Data migration

Talend

PostgreSQL

NoSQL

NewSQL

Vector/LLM DBs

Agentic AI

Legacy-to-cloud

12+ years data arch

5+ years financial services

Tools

Snowflake Cortex

Azure OpenAI Service

Job description

The Senior Data & AI Solutions Architect

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 the core business lines of Insurance, Investments, Membership. 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 data landscape including bridging legacy mainframe and DB2 platforms with a cloud and AI enabled 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

Skills Qualifications

Required:

• 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

Required:

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