Top AI & Machine Learning Jobs

Leads the design, development, deployment, and support of AI assistants, agents, automation workflows, APIs, microservices, RAG pipelines, and vector-search solutions. Translates business requirements into secure, scalable, observable, and cost-efficient AI services. Oversees testing, reliability, monitoring, incident management, governance, cybersecurity, and Responsible AI practices while partnering with product owners and cross-functional teams.

Designs and develops scalable full-stack enterprise applications using React, Java/Spring Boot, and Python. Builds REST APIs, microservices, Generative AI and LLM capabilities, RAG systems, AI agents, and intelligent automation workflows. Integrates enterprise platforms while applying secure coding, automated testing, CI/CD, cloud-native development, and containerization practices. Collaborates with architects, product owners, engineers, and business stakeholders to deliver reliable solutions and provides technical guidance to other engineers.

Leads Cargill’s enterprise AI platform strategy, architecture, roadmap, governance, and operations. Directs engineers building scalable, reusable AI capabilities and establishes standards for responsible, secure, and ethical AI adoption. Partners with business and technology leaders to align AI investments with organizational priorities, advises on AI readiness, manages vendors and budgets, and develops workforce capabilities. Oversees federated teams while fostering productivity, accountability, coaching, and an inclusive culture.

Design, develop, and maintain scalable software and AI-enabled solutions. Lead automation, deployment, testing, debugging, documentation, and technical support. Collaborate with product, design, and engineering teams to deliver AI-driven full‑stack applications and improve development and deployment processes.