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Lead the security design, architecture, and implementation for an enterprise AI platform. Define secure deployment patterns, embed security into CI/CD and operations, secure GenAI workflows, and lead customer security reviews and compliance activities for Fortune 1000 deployments.

The role involves designing and deploying scalable GenAI applications using Python and cloud infrastructure, particularly Azure. Responsibilities include model optimization, mentorship of junior developers, and collaborating with teams to align AI solutions with business needs.

Develop and test AI-powered software solutions, troubleshoot challenges, and collaborate with the team to enhance performance while gaining AI experience.

The Senior Enterprise System Integrator will design, build, and maintain integrations for enterprise systems, ensuring scalability and performance across multiple environments.

Lead product strategy and execution for AI-powered enterprise solutions. Drive product development from initial concept to scaling. Collaborate with engineering, design, and customers to define and improve product-market fit.

Deliver and validate enterprise deployments of a generative-AI platform by calibrating models, building compliant decision logic, integrating customer components, running automated evaluation harnesses, and producing reusable templates to accelerate regulated, production-ready capabilities.

Interns will work on data innovation projects involving data analysis, machine learning pipelines, AI systems deployment, and enterprise AI integration while gaining exposure to Fortune 500 clients.

As a Forward-Deployed Engineer, you'll deploy and integrate AI solutions for enterprise customers, troubleshoot issues, and contribute to product enhancements based on customer feedback.

Lead the design, development, and deployment of scalable applications for an AI platform, while mentoring junior developers and optimizing system performance.