AI Development Lead / AI Platform Engineer

Motorola Mobility, a Lenovo Company, is seeking a talented and experienced Senior AI Developer Lead to design, implement, and scale out an Agentic AI platform. This role involves leading a team of AI developers to create AI-powered customer solutions and ensuring alignment with strategic goals.

Responsibilities:

• Lead and manage a small team of AI developers to build AI platforms, implement agents, and customize standard solutions
• Develop Agentic AI platform solutions, ensuring alignment with Lenovo's strategic goals and enterprise technical standards
• Build AI architectures, inference engines, guardrails, and user interfaces for enterprise AI roll out
• Develop multi-agents/super agents using large language models (LLMs), small language models (SLMs), vision language models (VLMs), leverage agent frameworks and standard protocols such as MCP
• Integrate AI agents into existing platforms/systems, including on-premise and on the edge
• Identify and implement AI tools, frameworks, and technologies that enhance the effectiveness and efficiency of AI solutions
• Incorporate robust security measures into AI solutions, including data encryption, access controls, and vulnerability assessments
• Implement best practices for agent evaluation on both experimental and production environments
• Adhere to coding guidelines and best practices across projects, ensuring high-quality and maintainable AI software development
• Communicate technical concepts and solution approaches clearly to both technical and non-technical stakeholders
• Stay current with advancements in AI technologies and propose innovative implementation strategies

Requirements:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field
• Proven track record of managing a small AI team and acting as the technical lead to complete enterprise AI platforms and/or AI solutions in production environments
• 5+ years in AI development and implementation roles across domains such as data science, machine learning, NLP, computer vision, or Generative AI
• 2+ years of experience in developing Generative AI end-to-end solutions, including multi-modal solutions utilizing NVIDIA, cloud-based LLMs, or open-source models (e.g., OpenAI, Anthropic, Llama, Hugging Face, Bedrock)
• Experience with NVIDIA technologies (e.g., GPUs, CUDA, TensorRT) and integrating tools from NVIDIA AI Enterprise in on-premise solutions is a plus
• Strong knowledge of on-premise and cloud environments, particularly with containerization and scaling using Kubernetes
• Proven experience in implementing MLOps, LLMOps, or AIOps, as part of enterprise platforms and managing CI/CD pipelines for AI deployment using tools such as Jenkins, GitLab, or similar
• Strong programming skills in languages such as Python, React, and scripting languages