AI Engineer

• Define and maintain the enterprise-wide AI vision, strategy, and roadmap
• Establish a governance framework for the safe, secure, and effective adoption of AI
• Identify and prioritize AI investment opportunities
• Monitor AI-related regulatory developments and assess their impact
• Advise management and provide strategic recommendations
• Evaluate emerging technologies, including AI platforms, LLMs, RAG, and agentic systems
• Define selection criteria and contribute to purchasing decisions for AI platforms, services, and tools
• Define and maintain the AI reference architecture
• Contribute to integrating AI capabilities into the engineering toolchain
• Define best practices for AI-assisted engineering
• Expand AI use cases to non-technical activities
• Coordinate pilots and proof-of-concepts (POCs) before scaling
• Measure benefits, risks, and ROI
• Support team upskilling through coaching, workshops, and awareness initiatives

Explore Lead AI Engineer at CBTW. Review requirements and application details.

Lead AI Engineer

• Define and maintain the company-wide AI vision, strategy, and roadmap
• Establish a governance framework for the safe, secure, and effective adoption of AI
• Identify and prioritize AI investment opportunities
• Monitor AI-related regulatory developments and assess their impact
• Provide strategic advice to management
• Evaluate emerging technologies, including AI platforms, LLMs, RAG, and agentic systems
• Define selection criteria and contribute to purchasing decisions for AI platforms, services, and tools
• Define and maintain the AI reference architecture
• Contribute to integrating AI capabilities into the engineering toolchain
• Define best practices for AI-assisted engineering
• Expand AI use cases across non-technical activities
• Coordinate pilots and POCs, then measure benefits, risks, and ROI
• Support team upskilling through coaching, workshops, and awareness initiatives

• Develop production-quality C++ components, APIs, and integrations for NVIDIA’s AI-powered developer-tools ecosystem
• Build capabilities connecting native C++ tools with Genie’s retrieval and agentic features
• Contribute to agentic workflows, retrieval systems, ingestion pipelines, MCP tools, APIs, and enterprise integrations
• Build benchmarks and improve retrieval quality, reliability, performance, and resource usage
• Own features from investigation and design through implementation, testing, and delivery
• Collaborate with graphics, software, and hardware teams developing performance-analysis and developer tools

Explore C++ Software Engineer – AI Developer Tools at NVIDIA. Review requirements and application details.