Job description
Principal AI Engineer – Generative AI & Intelligent Lab Automation
đź“Ť Location: USA remote
đź•’ Full-time | Senior Leadership Role
We are seeking an experienced and visionary Principal AI Engineer to lead transformative AI initiatives that enhance automation, efficiency, and intelligent decision-making in high-throughput laboratory environments.
This is both a strategic and hands-on role, where you’ll define and drive the AI roadmap—pioneering innovations in Generative AI, deep learning, and lab automation at scale. You’ll work cross-functionally to implement impactful, real-time AI solutions that revolutionize laboratory operations.
Key Responsibilities
- AI Leadership & Strategy
- 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.
Advanced AI & Machine Learning Engineering
- 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
Software Engineering & Intelligent UX
- 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.
Cross-Functional Collaboration & Thought Leadership
- 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.
Qualifications
- Required Experience
- 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.
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.
Why Join Us?
- Be at the forefront of AI innovation in life sciences. Your work will directly impact the future of laboratory intelligence, enabling groundbreaking efficiencies and smarter scientific discovery. You’ll join a collaborative and forward-thinking team where your expertise will drive real-world transformation.
