Remote Architect/ Principal AI Engineer

Description:

• 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 include defining and executing the AI strategy for next-generation lab operations, driving the adoption of Generative AI, deep learning, and automation to optimize workflows, and leading R&D in areas such as Retrieval-Augmented Generation (RAG), prompt engineering, and LLM fine-tuning and optimization.
• You will deliver AI-powered solutions for smart task list generation, contextual workflow guidance, and intelligent lab automation, while assessing and integrating emerging AI technologies for real-world lab environments.
• You will 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, and build real-time AI applications with predictive insights and contextual recommendations.
• Applying MLOps best practices for automated model training, validation, and CI/CD deployment pipelines is also part of the role.
• You will develop end-to-end AI applications integrating workflow automation, task management, and decision support systems, and design AI-enhanced UIs and dashboards that guide lab personnel through complex procedures.
• Collaboration with data scientists, engineers, and lab experts to design practical AI solutions is essential, as well as leading internal and partner teams in Generative AI application delivery.
• You will evangelize AI/ML innovation to both technical and business stakeholders and champion ethical and compliant AI practices aligned with healthcare and life sciences regulations.

Requirements:

• A minimum of 8 years in software development with a strong focus on AI/ML is required.
• Deep expertise in Python, Java, SQL, and frameworks like PyTorch, TensorFlow, Keras, and Scikit-learn is essential.
• Proven hands-on experience in Generative AI systems, LLM fine-tuning, and Retrieval-Augmented Generation (RAG) is necessary.
• At least 8 years of experience deploying machine learning models in production using platforms like AWS SageMaker or Bedrock is required.
• Demonstrated success in workflow automation, building real-time AI applications, and optimizing cloud-based infrastructure is expected.
• A strong grasp of MLOps, scalability, and cloud (AWS) best practices is essential.
• The candidate should be a strategic thinker with a builder’s mindset and an innovation-first approach.
• Preferred qualifications include experience working with LIMS/LES systems and lab automation tools, familiarity with healthcare and life sciences regulatory requirements (e.g., HIPAA, GxP), and a background in designing secure and compliant AI solutions for regulated environments.

Benefits:

• Joining this team means being at the forefront of AI innovation in life sciences, where your work will directly impact the future of laboratory intelligence.
• You will enable groundbreaking efficiencies and smarter scientific discovery.
• The position offers the opportunity to join a collaborative and forward-thinking team where your expertise will drive real-world transformation.