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Design and secure AI-driven cloud IAM systems using Azure, AWS, and GCP, automating identity governance, anomaly detection, and remediation with GenAI tools like LangChain.
Builds and validates AI/ML models for U.S. Special Operations Command, focusing on predictive analytics and NLP to forecast resource needs and support mission planning.
Designs and maintains secure data pipelines and platforms for government AI/ML projects, converting raw data into governed, machine-learning-ready formats to power predictive analytics and generative AI applications.
We are seeking a highly experienced Senior Solution Architect with deep expertise in the Property & Casualty (P&C) Insurance domain to lead enterprise-scale digital transformation initiatives in a remote work…
Builds and deploys AI workflows in n8n on Linux servers, writes Python when needed, and integrates APIs for corporate automation; documents solutions in German and English.
Lead the engineering of MLOps platforms at a company building AI-native scientific data sets and lab data management solutions for the Scientific AI revolution.
Lead a team to design, build, and deploy AI-powered applications using LLMs, RAG, and vector databases, while mentoring engineers and enforcing engineering standards.
Build and operate the data, features, and GenAI foundations for Human Capital AI products, shipping production pipelines and LLM applications using Claude, GPT, and Gemini-class models with strong governance and observability.
Build and deploy production AI agents that automate workflows, reason over enterprise data, and integrate with customer systems using LLMs, retrieval, and traditional ML.
Build and deploy production AI agents that combine frontier models with enterprise data and software, designing reasoning systems, retrieval pipelines, and multi-agent workflows for Fortune 100 clients.
Data & AI – Manager CFGI, founded in 2000, is a dynamic and fast-growing financial consulting firm, serving as the trusted partner to CFOs and their organizations. We help clients tackle complex challenges across…
Embedded AI Engineer who designs, builds, and deploys production AI systems for B2B clients in private equity, lending, real estate, and SaaS, bridging business needs with technical execution using LLMs, RAG, and agent frameworks.
Build and lead payment-processing systems using Java, microservices, and Angular, while integrating AI models and ensuring secure, scalable deployments.
Build and own AI-native marketing and investor-relations infrastructure: a Next.js website, internal brand/IR tools, and agentic workflows that automate content, reporting, and compliance for a cleantech startup.
Build and deploy AI agents for government clients, designing scalable agentic systems with guardrails and governance to automate public service workflows.
Build and deploy AI/Generative AI solutions using LLMs, RAG, and cloud platforms to drive insights and automation for Mastercard’s global operations.
Build and deploy AI-agent systems for enterprise clients, owning the full lifecycle from discovery to production using Python, FastAPI, and agent frameworks like Strands.
Build and deploy generative AI systems using RAG, LLMs, and cloud-native MLOps on Azure, while mentoring teams to deliver scalable AI solutions across industries.
Build and run automated tests for AI-powered automotive software using Python, Selenium/Playwright, and CI/CD pipelines to validate AI outputs and system reliability.
Build and deploy enterprise-scale AI systems (RAG, agentic workflows, LLMs) to automate workflows and improve resilience for a global financial markets infrastructure provider.
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