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Senior Partner Manager - VARs (West)
Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build…
Java Developer, CDP API
Build and deploy AI-driven data pipelines and APIs that turn MSCI’s financial, ESG, and climate datasets into self-service products for quant developers and portfolio managers.
Senior Manager, Data Science and Agentic AI
Build and scale predictive models and LLM-powered AI agents on Azure/Fabric to drive commercial decisions in LATAM, using Python, RAG, and MLOps.
Senior Data and AI Platform Engineer
Senior engineer building and running cloud data platforms (Snowflake, Microsoft Fabric, Databricks) and BI tools (Power BI, Tableau), setting reliability, CI/CD, security, and governance standards for production analytics.
Data and AI Platform Engineer
Build and maintain cloud data platforms (Snowflake, Microsoft Fabric, Databricks) and BI tools (Power BI, Tableau) while supporting CI/CD, security, and AI/ML enablement for analytics teams.
Senior AI Engineer
Senior AI Engineer designs and builds scalable AI systems for a retail data ecosystem, focusing on LLMs, agent frameworks, and cloud AI services while setting engineering standards and mentoring teams.
Data Engineer
Design and build scalable data pipelines and Lakehouse/Data Warehouse solutions using Microsoft Fabric, Azure Synapse, and Databricks to enable analytics and AI workloads.
Cloud Solution Architect
Design and advise on Microsoft-based Data & AI solutions, guiding customers through analytics, AI, and data-platform modernization using Azure, Fabric, and Power BI.
Agentic AI Engineer, AI Automation
Build and deploy agentic AI workflows (LangGraph, AutoGen, CrewAI) that automate internal tasks using RAG, vector DBs, and full-stack Python/TypeScript systems.
Senior Applied AI Engineer
Build and scale an agentic AI platform (Floyd) that turns investment research into structured insights using LLM APIs, vector DBs, and Databricks pipelines, while collaborating with investment teams.
AI-First Product Manager
Leads AI-powered product development, defining features and roadmaps while collaborating with engineers and stakeholders to deliver scalable solutions using modern AI tools and APIs.
Applied AI Architect, Digital Natives
Senior AI Architect role designing and deploying OpenAI’s models for enterprise customers, guiding them from evaluation to production adoption and measurable business impact.
Automation QA- (Playwright)
Build and maintain automated test suites using Playwright with TypeScript, integrating Gen AI tools like GitHub Copilot to accelerate test development and improve coverage.
Senior+ Data / AI Engineer | LLM / Multi-Agent / RAG
Build production-grade AI systems for investment analysis and procurement using LLM, multi-agent architectures, and RAG pipelines in Python.
Engineering Manager, DevOps
Lead a DevOps team to design, deploy, and scale cloud and Kubernetes infrastructure for an enterprise AI platform, focusing on reliability, CI/CD, and observability.
Senior Security Architecture Manager
Leads security architecture for AI/ML platforms, designing frameworks to protect models, data, and enterprise systems while aligning with AI ethics, compliance, and emerging threats.
Software Architect
Design and deliver production-grade agentic AI systems and custom MarTech solutions using .NET/C#, React/Next.js, and Azure, while mentoring teams and establishing reusable architecture patterns.
Senior Product Manager, Internal AI & Automation
Build and launch internal AI tools and automation workflows from scratch, partnering with business teams to redesign operations and embed AI into daily workflows using LLM APIs and agent frameworks.
Enterprise Data Analyst
Build and optimize enterprise data pipelines and dashboards using Snowflake, dbt, Python, and Power BI to turn raw data into actionable business insights.
AI Engineer
Build and deploy AI solutions to automate internal business processes using LLM models, APIs, and Python; prototype AI products and integrate them with corporate systems.