Top AI & Machine Learning Jobs

Lead and manage a multidisciplinary engineering team building scalable products that combine Quantum and AI/ML technologies. Drive project delivery using agile and AI-assisted processes, define requirements, design scalable solutions, engage external partners, and mentor engineering leaders to bring innovations to market globally.

Lead and manage a multidisciplinary engineering team to design, build and deliver scalable software products that combine Quantum and AI/ML technologies; define requirements, drive agile execution, mentor talent, and engage with internal and external partners to bring innovative payment solutions to market.

Lead and manage a software engineering team to design, build, and deliver scalable AI and Quantum-enabled payment solutions. Define requirements, drive agile execution, collaborate with data scientists and engineers, coach talent, and promote innovation and productization of research into global markets.

Lead and manage an agile software engineering team to design, build and scale innovative products that combine Quantum and AI/ML. Define requirements, drive project execution, collaborate with data scientists and engineers, and deploy solutions using Python, Jupyter and containerized virtual environments (including Kubernetes). Coach and grow talent, ensure compliance with standards, and represent the team externally.

Lead and manage an agile engineering team building scalable products that combine Quantum and AI/ML. Define requirements, design and document solutions, drive project delivery, work cross-functionally with data scientists and engineers, coach talent, and deploy production software using Python, Jupyter and Kubernetes.

Lead design and deliver enterprise-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect scalable, secure cloud/data systems (AWS, Cloudera, Databricks), build APIs and microservices, integrate LLM frameworks (e.g., LangChain), monitor model performance, and mentor engineers while ensuring data governance and compliance.

Lead design and delivery of enterprise AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect scalable, secure cloud/data integrations (AWS, Cloudera, Databricks), build APIs and microservices, monitor and optimize production models, mentor engineers, and ensure governance, security, and compliance.

Lead engineer to design and deliver production-grade AI solutions using LLMs, RAG, and vector search. Build knowledge bases, LLM-driven apps (LangChain), scalable cloud architectures (AWS/Cloudera/Databricks), APIs/microservices, and ensure security, compliance, and operational excellence while mentoring engineers.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector-search knowledge bases. Build scalable, secure cloud-native services and APIs, optimize model performance in production, mentor engineers, and enforce data governance and compliance.

Lead engineering and deliver production-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect scalable cloud solutions (AWS, Cloudera, Databricks), build APIs and microservices, implement MCP-style orchestration, monitor model performance, ensure security and compliance, and mentor engineering teams.