Lead Engineer, AI Solutions

$151,700 - $281,700/Yr

Thomson Reuters - Frisco, TX

Full-time - Mid Level

Hybrid - Frisco, TX

10,001+ employees

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About the position

Thomson Reuters Labs is seeking a Lead Engineer to design and deliver AI solutions that enhance the company's products, focusing on system design and data architecture for customer-facing applications. The role involves leading the development of scalable AI solutions, integrating AI technologies across production platforms, and ensuring compliance with industry standards while fostering a culture of innovation and collaboration.

Responsibilities

• Lead the design and architecture of scalable AI solutions, including human-in-the-loop data generation, model training, and evaluation workflows.
• Develop and implement strategies to integrate AI technologies across production platforms, applying best practices in cloud-native development.
• Evaluate and recommend tools, frameworks, and technologies for AI projects.
• Promote efficient collaboration between scientists and engineers.
• Ensure that AI solutions comply with industry standards and regulations.
• Foster a culture of innovation, growth, and continuous improvement.

Requirements

• A bachelor's degree in computer science or related field.
• Experience leading technical workstreams within a software engineering organization.
• Deep understanding of Python software development stacks and ecosystems; experience with other programming languages and ecosystems is ideal.
• Experience in the development, testing, and deployment of ML solutions.
• Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn.
• Writing clean, reusable, maintainable, and well-tested code.
• Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform).
• A desire to learn and embrace new and emerging technology.
• Experience leading and/or mentoring teams, providing technical guidance and communicating results to internal stakeholders.

Nice-to-haves

• Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles.
• Prior exposure to Natural Language Processing (NLP) concepts and applications.

Benefits

• Hybrid Work Model: Flexible working environment (2-3 days a week in the office).
• Comprehensive benefit plans including flexible vacation and mental health days off.
• Work from another location for up to 8 weeks a year.
• Headspace app subscription for mental wellbeing.
• Retirement savings and tuition reimbursement programs.
• Employee incentive programs and resources for mental, physical, and financial wellbeing.
• Access to LinkedIn Learning and internal Talent Marketplace for professional development.
• Two paid volunteer days annually and ESG initiatives for social impact.