Senior Solutions Architect

Ampcus Inc; New Haven (CT); Remote; USD 150,000 - 210,000; Full time

Job summary

Ampcus Inc. is seeking a Senior Data & AI Solutions Architect for a remote, long-term contract. You will design enterprise data and AI solutions across life insurance, investments, and related domains, serving as a domain expert and technical partner to stakeholders.

The role requires deep experience in data architecture, Snowflake, GenAI/LLM implementations, and complex migrations from legacy to cloud platforms, working with cross-functional teams to deliver secure, scalable outcomes.

Qualifications

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

Responsibilities

• Architect and deliver enterprise data and AI solutions across core business lines.
• Collaborate with business leaders and engineers to translate needs into scalable, governed architectures.
• Bridge legacy systems with cloud/AI-enabled ecosystems and large language models.

Skills

Data architecture

Data engineering

Enterprise architecture

GenAI / LLM

Financial services knowledge

RAG & agents

Legacy to cloud migration

Real-time ingestion

Vector/LLM databases

Tools

Snowflake

Talend

IBM DB2

PostgreSQL

Job description

Title: Senior Data & AI Solutions Architect

Location: Remote

Duration: Long term Contract

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 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 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.

Required Skills:

• 12+ years in data architecture, data engineering, or enterprise architecture
• 5+ years in financial services (life insurance, annuities, investments preferred)
• 3+ years handson Snowflake experience (Snowpark, Cortex, data sharing)
• 3+ years delivering production LLM / GenAI solutions (RAG, agents, finetuning)
• Proven legacytocloud migration experience involving IBM DB2 or equivalent
• Experience with Talend, modern data integration, and realtime 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