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Build and run AI automation pipelines that integrate CRM, finance, and support systems using Azure AI Foundry, Python/C#, and Power BI to turn AI demos into production systems with measurable impact.
Build full-stack web apps and integrate AI features using modern stacks (React, Node.js, Python, Java/Spring Boot) and cloud platforms (AWS/Azure/GCP), while leveraging AI coding assistants daily.
Build and deploy AI-powered applications end-to-end, integrating LLMs, prompt engineering, and full-stack development to create next-generation AI systems for real-world business problems.
Role Summary We seek an architect-level Automation Framework Engineer to design, build, and scale enterprise automation frameworks across UI, API, document, and integration-heavy workflows. The ideal candidate brings…
Build and maintain full-stack enterprise apps using React, FastAPI, Python, and AWS, integrating AI/ML features and DevOps practices for a biotech company.
Build and optimize scalable data pipelines and governed lakehouse platforms using Databricks, Spark, and AWS to support analytics and AI in a regulated biotech environment.
Lead a team building a secure, scalable KYC and risk-assessment data platform in Python/PySpark, defining architecture and engineering standards for JPMorgan Chase’s Corporate Sector.
Own and ship AI products for Humana by scoping use cases, building prototypes with tools like Claude Code, running evaluations, and shepherding solutions through enterprise AI governance to production.
Build statistical and ML models for healthcare analytics and pharma marketing mix modeling to optimize spend and strategy using Python, SQL, and cloud tools.
Design and build AI-native legal workflows and automation systems that integrate AI models, CRMs, document systems, and client portals to deliver scalable legal services.
Advises utilities and oil & gas clients on AI transformation, crafting strategies, roadmaps, and business cases to drive measurable outcomes across the Middle East and Africa.
Advise government clients on AI strategy, governance, and transformation roadmaps, turning priorities into practical solutions while engaging senior stakeholders across the Middle East.
Lead a team to build and deploy large language model applications, fine-tune models, and create agentic AI systems for mission-critical government use cases.
Design and build AI-driven applications using generative models, deep learning, and cloud/on-prem pipelines. Integrate LLMs, RAG, and vector databases to create production-ready solutions.
Define and lead the enterprise architecture for Nuvei’s adoption of AI agents, establishing lifecycle standards, secure platforms, and governance to deploy agentic systems at scale in fintech.
Lead AI-driven data extraction and analytics for private markets secondaries, building client-facing reports and automating workflows to turn unstructured deal documents into structured, decision-useful data.
Design and implement cloud security architectures, automate controls, and secure AI/ML platforms across AWS and Azure while embedding security into CI/CD and MLOps pipelines.
Builds and deploys AI-powered applications by integrating LLMs, developing full-stack features (React/Next.js frontends, FastAPI/Flask backends), and optimizing RAG pipelines with vector databases for scalable, production-ready solutions.
Own the product strategy and roadmap for Identity Security, unifying ITDR and ISPM while defining risk signals, threat detection, and AI agent identity requirements for enterprise security.
Lead the architecture and hands-on delivery of scalable GenAI applications and agentic AI platforms for finance use cases using Python, AWS, and enterprise-authored AI tools.
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