Artificial Intelligence and Automation Engineer

Thomson Reuters India Pvt Ltd; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Thomson Reuters India Pvt Ltd seeks an AI & Automation Engineer to design and deploy intelligent, end-to-end automation within Enterprise Analytics. The role blends data engineering, AI systems, and operational workflows to reduce friction and accelerate decisions while embedding intelligence into daily work.

The ideal candidate will assess processes, build deterministic automation and agentic AI solutions, and deliver scalable frameworks with maintainable, reusable components across the team.

Qualifications

• Demonstrated experience designing and deploying AI-powered systems used within operational workflows, including agentic workflows, orchestration, context engineering, and production-grade implementation with built-in evaluation and reliability
• Strong understanding of data foundations, including preparing data for AI use and working with semantic models and structured pipelines
• Experience integrating AI/LLM capabilities with structured data sources (e.g., semantic layers, data warehouses, APIs)
• Ability to design systems end-to-end, from data signal to AI reasoning to user-facing output
• Strong documentation practices, with a focus on building solutions that are maintainable and extensible by others
• Interest in mentoring and enabling others, contributing to overall team capability and adoption
• Ability to assess and map existing business processes, identifying where AI, automation, or process redesign delivers the most value
• Experience with event-driven architectures and designing trigger-based or real-time processing systems
• Experience designing context-aware AI systems, including retrieval-augmented generation (RAG) using structured business metadata
• #LI-SP1

Responsibilities

• Assess and redesign existing operational processes to determine the right solution — deterministic automation, agentic AI, or a combination — before building design and deploy event-driven, threshold-based intelligence systems that replace manual reporting
• Build AI-generated narrative and push communication systems that deliver personalized, context-rich insights and initiate or guide action within operational workflows
• Develop interactive feedback loops that allow recipients to respond to AI-surfaced signals and route those responses appropriately
• Automate routine operational notifications end-to-end with minimal human-in-the-loop dependency
• Integrate LLM capabilities with semantic data models to enable non-technical users to interrogate data in natural language
• Partner with semantic and architect subject area experts to ensure semantic models are AI-grade, explainable and optimized for NLQ intent
• Build and maintain prompt frameworks, evaluation approaches, and guardrails that ensure AI outputs are reliable, auditable, and aligned with business context
• Design and deliver robust, scalable reference implementations for broader adoption
• Define patterns and guardrails for building AI-enabled systems, enabling consistent and extensible approaches across the team
• Establish high-quality, maintainable solutions designed for reuse, durability, and evolution
• Collaborate to share knowledge and evolve solutions into team-owned, repeatable capabilities
• Guide team members in designing and operating AI-enabled systems and shift from manual processes to automated, intelligent workflows
• Engage business leaders and operations owners to identify high-value automation and AI opportunities, define success criteria, and drive adoption
• Contribute to the team’s technical direction by staying current on emerging AI and automation practices and bringing innovations

Job description

AI & Automation Engineer Summary

The AI & Automation Engineer is an embedded practitioner, builder, and multiplier — sitting at the intersection of data engineering, AI systems, and operational workflows to assess, redesign, and transform complex manual processes into intelligent, automated operations. This role requires fluency in both AI and automation as distinct disciplines. You will assess and redesign existing operational processes before determining where deterministic automation, agentic AI, or a combination of both is the right solution — replacing manual, fragmented processes with streamlined, end-to-end intelligent systems that reduce friction, accelerate decisions, and embed intelligence directly into how work gets done. This is an embedded role operating within the Enterprise Analytics Center of Excellence, partnering closely with Data & Analytics team members, operations owners, and non-technical stakeholders to identify opportunities, design solutions, and drive adoption. You will build scalable systems that integrate data, AI, and user interaction — including natural language access to data and automated, push-based intelligence — embedding intelligence directly into how teams work.

About the role

Assess and redesign existing operational processes to determine the right solution — deterministic automation, agentic AI, or a combination — before building Design and deploy event-driven, threshold-based intelligence systems that replace manual reporting

Build AI-generated narrative and push communication systems that deliver personalized, context-rich insights and initiate or guide action within operational workflows

Develop interactive feedback loops that allow recipients to respond to AI-surfaced signals (e.g., "this is expected," "I have questions," "investigate further") and route those responses appropriately

Automate routine operational notifications (e.g., risk flag escalation) end-to-end with minimal human-in-the-loop dependency

Integrate large language model (LLM) capabilities with semantic data models to enable non-technical users to directly interrogate data in natural language

Partner with the team's semantic and architect subject area experts to ensure semantic models are AI-grade — well-defined, explainable, and optimized for NLQ intent

Build and maintain prompt frameworks, evaluation approaches, and guardrails that ensure AI outputs are reliable, auditable, and aligned with business context

Design and deliver robust, scalable reference implementations that serve as the foundation for broader adoption

Define patterns and guardrails for building AI-enabled systems, enabling consistent and extensible approaches across the team

Establish high-quality, maintainable solutions that are designed for reuse, durability, and evolution

Partner with team members to share knowledge and evolve solutions into team-owned, repeatable capabilities

Guide team members in designing and operating AI-enabled systems, helping shift from manual processes to automated, intelligent workflows

Engage business leaders and operations owners to identify high-value automation and AI opportunities, define success criteria, and drive adoption of deployed solutions

Contribute to the team’s technical direction by staying current on emerging AI and automation practices and bringing relevant innovations into the team’s approach

About you

Demonstrated experience designing and deploying AI-powered systems used within operational workflows, including agentic workflows, orchestration, context engineering, and production-grade implementation with built-in evaluation and reliability

Strong understanding of data foundations, including preparing data for AI use and working with semantic models and structured pipelines

Experience integrating AI/LLM capabilities with structured data sources (e.g., semantic layers, data warehouses, APIs)

Ability to design systems end-to-end, from data signal to AI reasoning to user-facing output

Strong documentation practices, with a focus on building solutions that are maintainable and extensible by others

Interest in mentoring and enabling others, contributing to overall team capability and adoption

Ability to assess and map existing business processes, identifying where AI, automation, or process redesign delivers the most value

Experience with event-driven architectures and designing trigger-based or real-time processing systems

Experience designing context-aware AI systems, including retrieval-augmented generation (RAG) using structured business metadata

#LI-SP1

What’s in it For You?

Hybrid Work Model

We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.

Flexibility & Work-Life Balance

Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.

Career Development and Growth

By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.

Industry Competitive Benefits

We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

Culture

Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

Social Impact

Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

Making a Real-World Impact

We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them.

Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here . Learn more on how to protect yourself from fraudulent job postings here . More information about Thomson Reuters can be found on thomsonreuters.com.