Architect/Principal AI Engineer

Summary

Join our team as a Principal AI Engineer and lead transformative AI initiatives to enhance automation, efficiency, and intelligent decision-making in high-throughput laboratory environments. This senior leadership role requires defining and driving the AI roadmap, pioneering innovations in Generative AI, deep learning, and lab automation at scale. You will work cross-functionally to implement impactful, real-time AI solutions. The position demands strong AI/ML expertise, experience with various frameworks and platforms, and a strategic mindset. You will collaborate with cross-functional teams and champion ethical AI practices. This is a chance to be at the forefront of AI innovation in life sciences, directly impacting the future of laboratory intelligence.

Requirements

• 8+ years in software development with a strong focus on AI/ML
• Deep expertise in Python, Java, SQL, and frameworks like PyTorch, TensorFlow, Keras, and Scikit-learn
• Proven hands-on experience in: Generative AI systems, LLM fine-tuning, RAG (Retrieval-Augmented Generation)
• 8+ years deploying machine learning models in production using platforms like AWS SageMaker or Bedrock
• Demonstrated success in: Workflow automation, Building real-time AI applications, Optimizing cloud-based infrastructure
• Strong grasp of MLOps, scalability, and cloud (AWS) best practices
• Strategic thinker with a builder’s mindset and an innovation-first approach

Responsibilities

• Define and execute the AI strategy for next-generation lab operations
• Drive adoption of Generative AI, deep learning, and automation to optimize workflows
• Lead R&D in: Retrieval-Augmented Generation (RAG), Prompt engineering, LLM fine-tuning and optimization
• Deliver AI-powered solutions for: Smart task list generation, Contextual workflow guidance, Intelligent lab automation
• Assess and integrate emerging AI technologies for real-world lab environments
• Architect and scale AI systems using AWS Bedrock, SageMaker, PyTorch, TensorFlow, and Scikit-learn
• Fine-tune custom LLMs for workflow automation and enhanced decision support
• Build real-time AI applications with predictive insights and contextual recommendations
• Apply MLOps best practices for: Automated model training, Validation, CI/CD deployment pipelines
• Develop end-to-end AI applications integrating: Workflow automation, Task management, Decision support systems
• Design AI-enhanced UIs and dashboards that guide lab personnel through complex procedures
• Contribute to both frontend and backend development for a seamless AI-powered user experience
• Collaborate with data scientists, engineers, and lab experts to design practical AI solutions
• Lead internal and partner teams in Generative AI application delivery
• Evangelize AI/ML innovation to both technical and business stakeholders
• Champion ethical and compliant AI practices aligned with healthcare and life sciences regulations

Preferred Qualifications

• Experience working with LIMS/LES systems and lab automation tools
• Familiarity with healthcare and life sciences regulatory requirements (e.g., HIPAA, GxP)
• Background in designing secure and compliant AI solutions for regulated environments