Sr. Data & AI Application Engineer (59_2026.2)

Affinity Solutions (Affinity) is the leading consumer purchase insights company. We provide a complete view of U.S. and U.K. consumer spending, across and between brands, via exclusive access to fully permissioned data from over 100 million consumers. Our proprietary AI technology, Comet, transforms these purchase signals into actionable insights for business and marketing leaders to drive optimal outcomes and build lasting customer relationships. Visit www.affinitysolutions.com to discover how were shaping the future of consumer purchase insights.

About Your Role:

We are hiring a Sr. Data & AI Application Engineer to drive the architecture and development of a unified platform for Insights, Audience Building, and Measurement powered by large-scale data and AI. This is a hands-on leadership role where you will own system design decisions and build production-grade applications that integrate with modern data platforms and third-party SaaS tools.

Your Responsibilities:

• Lead front-end architecture and development using React and Next.js (Node.js)
• Design and implement enterprise-grade systems integrating with third-party platforms (e.g., Snowflake, ThoughtSpot)
• Build and manage data pipelines, Snowflake clean rooms, and semantic layers
• Develop AI-powered applications, including chatbots, MCP integrations, and API-connected tools
• Support audience modeling workflows including model training, scoring, calibration, and enrichment
• Build measurement frameworks and embedded BI dashboards (e.g., ThoughtSpot)
• Execute custom analytics requests: segmentation, overlap analysis, behavioral profiling, and ad hoc data pulls
• Prototype R&D initiatives in privacy-preserving technologies and AI agent orchestration
• Establish engineering standards, contribute to code quality, and guide architectural decisions
• Manage development processes using Git/Bitbucket and JIRA branching workflows

Your Qualifications:

• BS or MS in Computer Science, Data Science, or Information Systems
• 68 years of proven experience architecting and shipping an enterprise-level application with a polished UI and dependencies on embedded/third-party SaaS services
• 36 years experience with Node.js, Next.js, and React
• Strong SQL expertise including CTEs, window functions, and complex aggregations
• 36 years of Python experience (data processing, scripting, APIs, OOP)
• Experience with cloud data platforms (Snowflake, BigQuery, or Redshift)
• At least 3 years building REST APIs and data pipelines
• Familiarity with authentication/SSO systems (e.g., AWS Cognito)

Preferred:

• Experience with GenAI developer tools (e.g., Copilot, Cursor, Claude Code) or agent frameworks
• Hands-on experience with Snowflake Cortex, Snowpark, or Streamlit
• Familiarity with LLM APIs (OpenAI, Anthropic Claude) and prompt patterns
• Experience with ML models (classification, feature engineering, calibration techniques)
• Knowledge of data privacy frameworks (clean rooms, differential privacy, PETs)
• Experience with Slack Bolt, AWS EC2, and deploying Python services
• Familiarity with MCP servers or AI agent orchestration
• Experience analyzing large-scale datasets (100M+ rows)
• Background in AdTech, MarTech, audience segmentation, or marketing analytics

Tech Stack:

Snowflake, Snowpark, Snowflake Cortex, Streamlit, Python, SQL, ThoughtSpot, Next.js, React, Node.js, AWS Cognito, Claude API, MCP, Slack Bolt, AWS EC2, Bitbucket, JIRA, GenAI tools

Salary Range: $165,000 $180,000

Office Hours: 9am 5:30pm

Benefits for full-time employees of Affinity Solutions begin on the first of the month following your date of hire with a generous employer contribution for medical, dental, and vision. In addition to company paid holidays, wellness time off, other wellness benefits, and employee discounts, you will also get employer paid life insurance and have the option to enroll into an employer-matched 401K Plan. We strongly encourage work/life balance by providing unlimited vacation days, available starting 90 days from your hire date as a team member.