Sr. Data & AI Application Engineer

Affinity Solutions is the leading consumer purchase insights company, providing a comprehensive view of consumer spending through proprietary AI technology. They are seeking a Sr. Data & AI Application Engineer to drive the architecture and development of a unified platform for insights and audience building, utilizing large-scale data and AI.

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

Requirements:

• BS or MS in Computer Science, Data Science, or Information Systems
• 6–8 years of proven experience architecting and shipping an enterprise-level application with a polished UI and dependencies on embedded/third-party SaaS services
• 3–6 years experience with Node.js, Next.js, and React
• Strong SQL expertise including CTEs, window functions, and complex aggregations
• 3–6 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)
• 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