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Thomson Reuters

Legal, financial data, and media services

Principal Engineer - AI

IT OperationsPosted on Nov 13
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • Extensive experience in enterprise architecture, solution architecture, or technology leadership roles.
  • Deep knowledge of software architecture, infrastructure architecture, cloud technologies, and system integration.
  • Proven ability to design and implement complex, scalable enterprise systems.
  • Strong experience with architecture governance, technology standards, and best practices.
  • Demonstrated expertise in evaluating and adopting emerging technologies.
  • Experience leading cross-functional technical teams and managing complex projects.
  • Strong business acumen with the ability to translate technical concepts into business outcomes.
  • Experience influencing senior leadership and driving strategic technology initiatives.
  • Advanced degree (Master's or equivalent) in Computer Science, Engineering, Business, or a related discipline.
  • Experience with AI, machine learning, and data-driven architecture solutions.
  • Experience in technology due diligence for mergers, acquisitions, or divestitures.
  • Industry-recognized architecture or cloud certifications, such as TOGAF, AWS, Azure, or Google Cloud.
  • Experience managing architecture teams or leading enterprise-wide transformation programs.
  • Experience developing technical patents, architectural standards, or published technical thought leadership.
  • Proven track record of driving large-scale modernization, innovation, or digital transformation initiatives.
  • Recognition as an industry expert through speaking engagements, publications, or professional contributions.

Responsibilities

  • Design AI systems, enterprise architectures, and technical solutions aligned with long-term business objectives.
  • Lead architecture and design of shared software frameworks, platforms, and components.
  • Partner with business leaders, technology teams, and project managers to align technology initiatives with organizational strategy.
  • Evaluate, select, and implement emerging technologies and architectural solutions.
  • Develop and maintain enterprise architecture standards, best practices, governance frameworks, and design principles.
  • Analyze and validate technology architectures, balancing business requirements, cost considerations, and technical capabilities.
  • Lead complex technical projects and provide architectural oversight across multiple initiatives.
  • Serve as a technical domain expert and advisor on application and infrastructure development.
  • Drive innovation by identifying transformational technology opportunities and communicating their business impact.
  • Participate in due diligence activities related to mergers, acquisitions, and divestitures.
  • Provide architectural leadership for technology strategy, roadmaps, and investment decisions.
  • Mentor architects, engineers, and technical teams while promoting knowledge sharing and technical excellence.
  • Identify and resolve complex technical challenges through a holistic, cross-functional approach.
  • Create and deliver technical presentations, white papers, training materials, and executive communications.
  • Stay current on technology trends, competitive threats, market developments, and customer needs.

About the Company

Thomson Reuters

Legal, financial data, and media services

Thomson Reuters provides intelligent information and professional services for law, tax, finance, and media. It serves law firms, corporations, government agencies, and financial institutions with platforms like legal research (Westlaw), tax software (UltraTax CS), financial market data, and news services. These products are accessed through subscription-based platforms, ensuring ongoing updates and a steady revenue stream. The company also monetizes through advertising on media platforms and data analytics sales. It distinguishes itself by offering a broad, integrated suite of industry-specific tools combined with AI, cognitive computing, and machine learning to improve accuracy, efficiency, and predictive analytics in research and data insights. Its goal is to be a trusted partner that helps professionals make informed decisions by delivering reliable information and decision-ready tools while pursuing responsible, values-driven initiatives.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1851

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