AI Architect

🔥 0 minutes ago

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $184.4k - $253.6k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

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Solventum

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

📦 Logistics

💼 Consulting

Healthcare • Logistics • Consulting

Solventum is a healthcare-focused company renowned for its innovative solutions aimed at improving medical and oral care outcomes. The company offers a variety of medical technologies, including advanced wound care, surgical solutions, and sterilization products. Solventum also provides advanced oral care solutions, health information and technology services, and purification and filtration products for biopharmaceutical applications. Furthermore, Solventum places a strong emphasis on sustainability and education, providing resources and training for healthcare professionals globally. Their commitment to innovation and better healthcare has made them a leader in the healthcare industry, dedicated to enhancing patient safety and healthcare efficiencies.

📋 Description

• Lead high-impact AI Platform development for HIS applications • Drive technical breakthroughs and design novel AI architectures • Influence integration of advanced AI into mission-critical healthcare products • Collaborate with scientists, engineers, and domain experts to create explainable, reliable, and transformative healthcare platforms and solutions • Architect, design, and develop AI platforms supporting large language models for healthcare-specific language, regulatory requirements, and ethical considerations • Build frameworks supporting AI pipelines processing structured and unstructured healthcare data, including FHIR, HL7, clinical notes, and claims data • Contribute to domain-specific model architectures for clinical decision-making, revenue cycle management, and patient engagement • Serve as the primary technical authority for AI Platform development within product teams • Mentor junior AI designers and engineers through code reviews, research guidance, and technical workshops • Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices • Implement model evaluation frameworks for accuracy, robustness, and fairness • Ensure compliance with HIPAA and HITRUST requirements • Partner with engineering to move research prototypes into production environments

🎯 Requirements

• Master’s in Computer Science, AI, Machine Learning, or related field AND 10+ years of experience developing AI/ML platforms on cloud and on-premises; OR 15+ years of software engineering background in AI, Machine Learning, or related field with 10+ years of experience building AI/ML platforms • Proficiency in Python and modern ML libraries • Experience with GenAI, LLMs, transformer architectures, and advanced model routing • Experience with PyTorch, TensorFlow, Hugging Face, LangChain, and LlamaIndex • Deep expertise building enterprise-grade RAG systems, including advanced chunking, hybrid search, vector database management, and retrieval optimization • Hands-on experience with autonomous AI agents and reasoning systems, including Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) • Advanced agent context management, including context-window optimization, stateful memory injection, caching strategies, and long-running agent contexts • Proven ability in observability, logging, and scalable systems, including LLM/agent tracing • Strong track record applying AI architectures to scalable enterprise platforms and complex use cases • Strong background with cloud platforms, on-premises deployments, and MLOps/LLMOps practices • Must be legally authorized to work in the country of employment without sponsorship for employment visa status • Additional qualifications: experience with knowledge graph databases such as Neo4j, NoSQL/SQL databases, native vector databases, GraphRAG, hybrid retrieval, Kubernetes, Terraform, LangGraph, AutoGen, CrewAI, Semantic Kernel, LLM evaluation frameworks, LoRA, PEFT, model distillation, AI guardrails, prompt-injection defenses, and output validation

🏖️ Benefits

• Variable incentive pay, if eligible • Medical, Dental & Vision • Health Savings Accounts • Health Care & Dependent Care Flexible Spending Accounts • Disability Benefits • Life Insurance • Voluntary Benefits • Paid Absences • Retirement Benefits • Company-paid travel arrangements and related expenses for on-site onboarding