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Lead a cloud-native data platform that unifies security signals across Salesforce and external systems, using AI/ML for risk scoring, anomaly detection, and automated remediation.
Build a secure, cloud-native data platform that processes 600 TB/day of security signals using Kafka, Spark, and AI/ML for risk scoring and automated remediation.
Lead architecture for AI-powered backend systems and public cloud platforms at Salesforce, designing resilient distributed systems and REST APIs for millions of users.
Lead a Python/FastAPI backend team building the core service for Salesforce’s multi-agent AI orchestration, handling stateful sessions, LLM integrations, and production-scale reliability.
Embed with customer AI teams to design, prototype, and deploy AI agents using W&B Weave, acting as a hands-on technical advisor and troubleshooting production issues.
Build and ship production AI features—LLM agents, RAG pipelines, and streaming responses—into Collibra’s enterprise data governance platform, ensuring governed, secure, and compliant AI for global customers.
Build AI-powered memory retrieval systems and multi-agent pipelines that extract, index, and rank conversation history for personalized LLM responses.
Build, deploy and operate AI and Generative AI solutions (agents, RAG systems, predictive models) end-to-end, including data pipelines and integrations, using Python, Azure AI, Databricks and related tools.
Develop AI-powered tools using Python, LLM APIs, and RAG to build chatbots, assistants, and automation workflows for real-world business use cases.
Lead the architecture and delivery of generative AI systems for property technology, including RAG, multi-agent workflows, and foundation models, while mentoring engineers and shaping AI strategy.
Build and deploy generative AI agents and copilots for property tech using LLMs, RAG, and multi-agent systems, integrating them into scalable full-stack applications.
Build and optimize cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Lead the technical design of Azure-first data and AI platforms, defining reusable patterns and reference architectures in code while mentoring teams to build scalable, secure, and cost-efficient solutions for marketing and advertising use cases.
Why qlub The end of a great meal shouldn't be the slow part. Waiting for the check, finding someone to take payment, splitting a bill by hand. qlub removes that friction. Guests scan a QR code and pay in seconds.…
Builds and maintains AI-driven data pipelines and infrastructure to process, transform, and store data for LLM applications, RAG systems, and agentic AI workflows using Python, vector databases, and cloud platforms like AWS/Azure.
Build and deploy AI/ML models, including generative AI and LLM-based apps, using frameworks like GPT or open-source models, and design RAG pipelines with vector databases.
Build production-ready AI agents, Voice AI solutions, and RAG pipelines using modern LLMs and agent frameworks like LangChain.
Builds and scales AI systems for MLS, including semantic layers, knowledge graphs, and LLM-powered applications that power fan intelligence and personalization.
Role : The Manager AI Products is the primary builder within the AI Hub, responsible for turning architectural designs and product specifications into working, production-deployed AI systems. This role spans the full…
Build and ship AI features end-to-end: design agent workflows, fine-tune models, and turn outputs into reliable production systems using Python, PyTorch/JAX, and modern LLMs.
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