Provectus Logo

Provectus

Senior/Lead AI Engineer

Posted 10 Days Ago
Remote
6 Locations
Senior level
Remote
6 Locations
Senior level
Lead AI initiatives in lab automation, defining and driving AI strategy, architecting AI systems, and collaborating with cross-functional teams to deliver impactful solutions.
The summary above was generated by AI

Senior/Lead AI Engineer – Generative AI & Intelligent Lab Automation

📍 Location: USA remote

🕒 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.
  • 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.
  • 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.

Top Skills

Aws Bedrock
Java
Keras
Python
PyTorch
Sagemaker
Scikit-Learn
SQL
TensorFlow

Similar Jobs

53 Minutes Ago
Remote
United States
Mid level
Mid level
Cloud • Information Technology
As a DevOps Engineer, you'll automate, scale, and secure Wasabi cloud production environments while collaborating on software integration and deployment strategies.
Top Skills: AnsibleDockerElkGoGrafanaKubernetesLokiPrometheusPythonTerraform
An Hour Ago
Remote
USA
135K-215K Annually
Expert/Leader
135K-215K Annually
Expert/Leader
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The role involves architecting and managing CI/CD pipelines, automating deployment, mentoring engineers, and optimizing workflows at CrowdStrike.
Top Skills: AndroidAnsibleBitbucketChefGitGitlabGroovyiOSJenkinsLinuxmacOSPuppetPythonSaltWindows
An Hour Ago
Easy Apply
Remote
United States
Easy Apply
169K-240K
Senior level
169K-240K
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
As a Senior Machine Learning Engineer, you will develop production-ready models to assess risk and support decision-making in loan applications at Affirm.
Top Skills: AirflowDockerKubeflowKubernetesNumpyPandasPythonPyTorchRayScikit-LearnSparkSQLXgboost

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account