AI Marketing Automation Architect

As an AI Marketing Automation Architect at Cehpoint, you will design intelligent, scalable marketing automation systems that leverage large language models, real-time data pipelines, and cloud-native infrastructure. Your work will directly power personalization engines, automated campaign orchestration, and predictive attribution for enterprise clients across security and AI domains.

• Architect end-to-end AI marketing automation pipelines — from lead ingestion and scoring to personalized content generation and multi-channel campaign execution.
• Design and implement LLM-powered workflows for dynamic email, social, and ad copy generation with guardrails for brand compliance and data privacy.
• Build integrations between marketing platforms (HubSpot, Marketo, Salesforce) and custom AI services using REST APIs, webhooks, and event-driven architectures.
• Develop real-time personalization and recommendation engines powered by vector search, embedding models, and collaborative filtering.
• Implement robust analytics and attribution dashboards to measure campaign ROI, funnel conversion, and predictive lead quality.
• Ensure all automation systems comply with data protection standards (DPDP Act 2023, ISO 27001) including PII handling, consent management, and audit logging.

• Probabilistic reasoning and statistical modeling for marketing analytics, conversion attribution, and predictive scoring.
• Transformer-based LLM architectures, retrieval-augmented generation (RAG), and prompt optimization techniques for production-grade applications.
• Distributed systems fundamentals — message queues, event streaming, idempotency, and fault-tolerant pipeline design.

• LangChain, LangGraph, or similar LLM orchestration frameworks
• HubSpot, Marketo, or Salesforce Marketing Cloud
• Python (FastAPI/Flask), Node.js, and TypeScript
• AWS/GCP infrastructure (Lambda, Cloud Run, BigQuery, Vertex AI)
• Apache Airflow, dbt, or equivalent orchestration tools

• Obsessed with the intersection of behavioral psychology and algorithmic personalization — how micro-copy changes move conversion needles.
• Continuously experiments with emerging LLM capabilities and tests how they can automate previously manual marketing operations.
• Proactively reverse-engineers competitors' marketing funnels and automation tactics to identify architectural improvements.

• Competitive fixed compensation with performance-linked bonuses and ESOP eligibility after probation.
• Fully remote-first setup with a annual hardware allowance (laptop + peripherals) and home-office stipend.
• Monthly GPU credits and cloud compute budget for personal R&D and prototype development.
• Dedicated mentorship from senior ML engineers and security architects with quarterly skill-stamp sponsorship.
• Annual learning budget of ₹50,000 for conferences, certifications, and specialized courses.