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Leads AI product strategy and development for Komodo’s healthcare analytics platform, defining next-gen AI-driven products, building prototypes, and retiring legacy solutions—owning end-to-end product lifecycle from thesis to revenue impact.
Design and deliver enterprise AI and automation solutions using Microsoft Copilot Studio and Power Platform, integrating with Microsoft 365 and Azure while defining governance and security frameworks.
Staff Data Scientist at Spring Health, a mental health company, who architects the semantic and intelligence layers for member, customer, and provider profile data and builds personalized decisioning systems, LLM-based agentic workflows, and real-time inference on AWS while mentoring engineers. Hybrid role: 2-3 days/week in the San Francisco office.
Senior SAP SD consultant designing Order-to-Cash processes and leading solution consulting for enterprise clients, primarily in SAP environments.
Build and maintain native iOS/Android apps for a Brazilian digital bank’s Super App, using Swift/SwiftUI or Kotlin/Jetpack, ensuring high availability and low latency.
Build and maintain a full-stack advertiser-facing platform for streaming TV ad campaigns using Next.js, React, TypeScript, and PostgreSQL, ensuring reliability and performance.
Build internal tools and automation (Slackbots, dashboards, APIs) using React, Go, Python, and cloud services to streamline workflows and improve productivity across Scale AI.
The Kestra team has over 400 years of experience in the external and internal cardiac medical device markets. The company was founded in 2014 by industry leaders inspired by the opportunity to unite modern wearable…
Lead a team of designers to build intuitive, high-trust interfaces for enterprise AI applications, focusing on human-in-the-loop workflows and agentic platforms.
Build observability, evaluation, and improvement loops for production-grade AI agents, ensuring reliability and performance across enterprise and government use cases.
Designs and implements large-scale data solutions for global enterprises using cloud platforms like Snowflake, AWS, and Azure, while leading teams and advising clients on modern data engineering practices.
Build and deploy production-grade agentic AI solutions like RAG pipelines and multi-agent workflows for enterprise clients, integrating with systems like CRM and ERP using Python and cloud-native AI platforms.
Leads data engineering strategy and delivery for enterprise clients as a trusted advisor, combining hands-on architecture with business growth and team leadership.
Designs and leads large-scale cloud data platforms for enterprises using Snowflake, AWS, and Azure, while mentoring teams and optimizing data workflows.
Principal Solution Architect designs, operates, and improves cloud-native data platforms for enterprise clients, focusing on Snowflake, AWS/Azure, and modern data stacks.
Designs and implements cloud-native data platforms on Snowflake, AWS, and Azure for enterprise clients, ensuring security, scalability, and alignment with business goals.
Leads the delivery and operations of modern cloud data platforms for enterprise clients, coordinating global teams to ensure reliable, scalable solutions using AWS/Azure, Snowflake, dbt, and related tools.
Senior DevOps engineer builds and maintains cloud-native data platforms on AWS/Azure for enterprise clients, using IaC, CI/CD, and automation to ensure reliability and scalability.
Design and deliver production-ready AI solutions for enterprises, from RAG and LLM apps to MLOps and agentic workflows, while guiding clients from experimentation to scalable deployment.
Design and lead end-to-end AI solutions for enterprise clients, translating business goals into scalable, production-grade AI systems while collaborating with cross-functional teams.
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