AI Development Lead / AI Platform Engineer

We are seeking a talented and experienced Senior AI Developer Lead to design, implement, and scale an Agentic AI platform that streamlines the creation of AI-powered customer solutions. In this role, you will collaborate with AI engineers to deploy and scale AI services across enterprise infrastructures. The role sits within Lenovo’s Solutions Services Group (SSG) and involves a distributed engineering team building the xIQ Agent Platform. Key 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. Basic Qualifications 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. Preferred Qualifications 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. If you are passionate about AI development and eager to take on a challenging yet rewarding role that makes a real impact, we invite you to connect with us! This role offers the flexibility to be home-based anywhere in the U.S. with preference for the Eastern or Central time zones. If you’re near our Chicago or Raleigh offices, we follow a friendly hybrid model with three days a week in the office—great for collaboration and connection. The base salary range budgeted for this position is $230,000 to $250,000. Individuals may also be considered for bonuses and/or commissions. Lenovo’s various benefits can be found at We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. #J-18808-Ljbffr Lenovo