Own the architecture and hands-on delivery of scalable data platforms and pipelines spanning scientific research, clinical data, and pharmaceutical manufacturing, enabling reliable analytics and enterprise operations.
Xenon7 jobs
Browse active jobs at Xenon7.
10 open roles at Xenon7
Own the hands-on design and delivery of production ML systems, scalable MLOps pipelines, and low-latency inference services for life sciences research and manufacturing applications.
Own product strategy and backlogs for banking initiatives, translating business and regulatory needs into requirements, workflows, integrations, and validated releases across enterprise systems and digital platforms.
Build and deploy user-facing AI applications for enterprise Finance teams, translating ambiguous business challenges into production-ready tools, integrating governed data, and measuring adoption and business impact.
Own product backlogs and lead business systems analysis, translating stakeholder needs and banking regulations into requirements, workflows, integrations, and validated releases across enterprise platforms and digital products.
Build and operate governed data products, semantic layers, and natural-language analytics on Databricks, enabling Finance users to query trusted enterprise data while maintaining security, reliability, and cost efficiency.
Lead enterprise Salesforce Agentforce architecture and hands-on LLM engineering, from technical discovery and agentic workflow design through secure integrations, testing, and production deployment.
Administer and secure hybrid Azure and on-premises infrastructure for data and AI workloads, connecting legacy data centers to Azure while ensuring availability, disaster recovery, and regulatory compliance.
Architect enterprise AI security governance for a banking institution by building policies, control frameworks, and secure MLOps standards that protect AI models, data pipelines, and deployments.
Conduct AI-focused threat modeling and red-team operations across on-premises AI/ML systems, uncovering vulnerabilities, hardening infrastructure, and helping teams detect and mitigate algorithmic and cyber risks.
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