Sr Engineer, AI Solutions
US-CA-Irvine
External Careers apply (Attract Portal)
Req #: 92965
Type: Full-time
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Overview: The Senior Engineer, AI Solutions collaborates with cross-functional teams to design, develop, and deploy innovative AI solutions in areas such as computer vision and Large Language Models (LLMs). The role requires advanced technical expertise, a passion for innovation, and the ability to mentor junior engineers. Responsibilities * Design and implement AI/Machine Learning (ML) solutions across domains such as computer vision and Natural Language Processing (NLP), and Generative AI (GenAI) use cases: document understanding, summarization, and chatbots. * Develop and optimize autonomous AI agents and related workflows, including integration with enterprise systems. * Guide data labeling strategies and human-in-the-loop feedback for supervised and reinforcement learning models. * Fine-tune and evaluate Large Language Models (LLMs), and implement GenAI patterns like prompt engineering, embeddings, vector stores, and Retrieval-Augmented Generation (RAG). * Build and optimize robust data pipelines for large datasets, including data cleaning, transformation, labeling, and feature engineering. * Design scalable APIs and real-time/batch inferencing services for AI capabilities use across teams and applications. * Deploy and manage AI models using containerization, orchestration and Machine Learning Operations (MLOps) best practices (Continuous Integration and Deployment (CI/CD) pipelines on AWS and/or GCP). * Collaborate with stakeholders to understand business needs, translate into AI solutions, and align with product goals and regulatory constraints. * Mentor junior engineers in AI/Machine Learning (ML) fundamentals, coding standards, and deployment best practices. * Contribute to research and innovation initiatives and evaluate new techniques, tools, and architectures in AI and ML. * Other duties and responsibilities as assigned. Qualifications * Master's degree in Computer Science, Data Science or related discipline from an accredited college or university. In lieu of degree, 6+ years of experience in AI/Machine Learning, and system design. * 4+ years of experience in AI/Machine Learning engineering, working with system design and deployment of AI Solutions; practical experience in healthcare AI applications. * 1+ years of advance technical expertise. * Proficiency in Python and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, or LangChain. * Experience with GenAI and Large Language Models (LLMs), including fine-tuning and prompt engineering. * Experience with retrieval-augmented generation (RAG), and vector databases. * Experience with SQL and/or NoSQL databases for structured and unstructured data. * Experience with cloud platforms (AWS and/or GCP). * Experience with containerization (Docker) and orchestration (Kubernetes). * Experience working in cross-functional teams. Preferred * 8+ years of experience in AI/Machine Learning (ML) with large-scale system design. * Strong understanding of AI system design, scalability, and performance optimization. * Experience with medical image analysis. * Experience with React or other modern JavaScript frameworks. * Experience with MLOps, CI/CD, and AI model optimization. * Familiarity with HIPAA and healthcare compliance standards. * Experience with clinical studies and statistical analysis. Knowledge/Skills/Abilities * Demonstrated interpersonal, verbal and written communication skills. * Ability to collaborate with team members at all levels of the organization. * Demonstrated ability to mentor and lead AI projects. * Ability to adhere to industry best practices and regulatory requirements, particularly regarding data privacy and security. * Familiarity with CI/CD pipelines and DevOps practices. Benefits * Medical, dental, and vision insurance * Paid time off * Tuition Reimbursement * 401K * Paid time to volunteer in your local community
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