Senior/Lead AI Engineer

Provectus IT, Inc.; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Join a forward-thinking company at the forefront of AI innovation in life sciences. As a Principal AI Engineer, you will lead transformative initiatives that enhance automation and efficiency in laboratory environments. This strategic and hands-on role involves defining the AI roadmap, driving the adoption of Generative AI and deep learning, and collaborating with cross-functional teams to implement real-time AI solutions. Your expertise will directly impact the future of laboratory intelligence, enabling groundbreaking efficiencies and smarter scientific discovery. Be part of a collaborative team where your contributions will drive real-world transformation.

Benefits

Flexible working hours

Health insurance

Professional development opportunities

Collaborative work environment

Remote work options

Generous vacation policy

Qualifications

• 8+ years in software development with a strong focus on AI/ML.
• Deep expertise in Python, Java, SQL, and frameworks like PyTorch and TensorFlow.
• Strong grasp of MLOps, scalability, and cloud (AWS) best practices.

Responsibilities

• Define and execute the AI strategy for next-generation lab operations.
• Architect and scale AI systems using AWS Bedrock and SageMaker.
• Collaborate with data scientists and engineers to design practical AI solutions.

Skills

Python

Java

SQL

Generative AI

MLOps

Deep Learning

Workflow Automation

Education

Bachelor's Degree in Computer Science or related field

Master's Degree in AI/ML or related field

Tools

AWS SageMaker

AWS Bedrock

PyTorch

TensorFlow

Scikit-learn

Job description

USA , US Central , US East Coast , US West Coast

About project

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)
• LLM fine-tuning and optimization
• Deliver AI-powered solutions for:
• Contextual workflow guidance
• 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:
• Validation
• Develop end-to-end AI applications integrating:
• Workflow automation
• 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.
• Client-facing and ability to own the process and adapt to changes.

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.
• Generative AI systems
• 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.

We are waiting for you to become a part of our team!