Overview
Lead end-to-end development of cloud-native applications, APIs, and platform services, applying full-stack engineering principles across frontend, backend, integration, security, observability, testing, and continuous delivery disciplines. Architect and deliver next-generation AI platforms, copilots, agentic systems, and intelligent applications powered by Generative AI, Large Language Models (LLMs), and advanced reasoning capabilities. Design and build AI-ready data platforms and knowledge systems, scalable AI services, APIs, and orchestration frameworks that power autonomous agents, intelligent automation, and enterprise-scale workflows. Drive the technical strategy and architecture for Applied AI solutions, partnering across engineering, data science, product, and business teams to accelerate AI innovation and adoption. Create reusable AI frameworks, SDKs, and platform services that i
Full job description
Full Job Description
Lead end-to-end development of cloud-native applications, APIs, and platform services, applying full-stack engineering principles across frontend, backend, integration, security, observability, testing, and continuous delivery disciplines. Architect and deliver next-generation AI platforms, copilots, agentic systems, and intelligent applications powered by Generative AI, Large Language Models (LLMs), and advanced reasoning capabilities. Design and build AI-ready data platforms and knowledge systems, scalable AI services, APIs, and orchestration frameworks that power autonomous agents, intelligent automation, and enterprise-scale workflows. Drive the technical strategy and architecture for Applied AI solutions, partnering across engineering, data science, product, and business teams to accelerate AI innovation and adoption. Create reusable AI frameworks, SDKs, and platform services that improve developer productivity, model performance, scalability, governance, and reliability. Establish best practices for Responsible AI, AI governance, model evaluation, security, compliance, observability, and operational excellence. Provide hands-on technical leadership through architecture reviews, code reviews, mentoring, and direct contribution to software, data, and AI solutions. Partner with business and technology leaders to identify and deliver transformational AI opportunities that enhance productivity, decision-making, and customer experiences. Champion customer-zero innovation by turning emerging AI technologies into scalable platforms, reusable services, and enterprise-wide solutions. Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. 2+ years experience with data governance, data compliance and/or data security.
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