Sr. Data & AI Application Engineer

Xoriant is seeking a Sr. Data & AI Application Engineer to lead the development of a unified platform for Insights, Audience Building, and Measurement powered by large-scale data and AI. The role involves setting technical direction, owning architecture decisions, and collaborating with other engineers on production systems while focusing on enterprise-grade applications and seamless integration with third-party SaaS services.

Responsibilities:

• Lead the design and front-end development of our platform UI (Insights, Audience Building, Measurement) using React and Node.js (Next.js preferred)
• Architect enterprise-grade systems with clean dependencies on embedded/third-party SaaS services (e.g. Snowflake, Thoughtspot)
• Design and build data pipelines, clean room configurations, and semantic layer definitions on Snowflake
• Develop and maintain AI-powered chatbots, MCP integrations, and Slack/API-connected tools
• Support audience modeling workflows including model training, scoring, calibration, and attribute enrichment and audience distribution
• Build measurement frameworks, dashboards, and reporting pipelines (e.g., ThoughtSpot embedded) to surface insights from large-scale datasets
• Fulfill custom data and analytics requests — segmentation, overlap analysis, behavioral profiling, and ad-hoc pulls
• Prototype and document R&D initiatives around privacy-preserving computation and AI agent orchestration
• Set engineering conventions, mentor teammates, and help guide technical decisions for the platform
• Build clean, documented code and manage work through Git/Bitbucket with JIRA-based branching conventions

Requirements:

• BS or MS in Computer Science, Data Science, or Information Systems, with 6–8 years of related experience
• Proven experience architecting and shipping an enterprise-level application with a polished UI and dependencies on embedded/third-party SaaS services
• 3–6 years building big-data-driven web applications with Node.js, Next.js, and React
• Strong proficiency in SQL — comfortable writing complex queries, window functions, CTEs, and aggregations
• 3–6 years of Python programming — data manipulation, scripting, API calls, and basic OOP
• Exposure to at least one cloud data platform (Snowflake, BigQuery, or Redshift)
• At least 3 years of REST API and data pipeline experience
• Familiarity with SSO, authentication, and identity concepts (e.g., AWS Cognito)
• Ability to work independently, manage your own time, and communicate clearly in a fully remote environment
• Experience building with GenAI coding and agentic developer tools (e.g., Amazon Kiro, Claude Code, Cursor, Copilot, or agent orchestration frameworks) — a big plus
• Hands-on experience with Snowflake Cortex, Snowpark, or Streamlit
• Familiarity with LLM APIs (Anthropic Claude, OpenAI) and prompt engineering patterns
• Exposure to ML classification models, feature engineering, Platt calibration, or model evaluation techniques
• Knowledge of data privacy concepts — data clean rooms, differential privacy, or privacy-enhancing technologies (PETs)
• Experience with Slack Bolt, AWS EC2, or deploying Python applications to cloud infrastructure
• Familiarity with MCP servers or AI agent orchestration frameworks
• Experience working with large-scale behavioral or transaction datasets (100M+ rows)
• Background in Adtech/Martech, marketing analytics, audience segmentation, or measurement — not required, but a strong bonus, since it's the vertical our platform serves