Automation Engineer

Hyderabad, IndiaFull-timePosted Jul 27, 2026

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Your New Role:

As an Automation Engineer within Enterprise Data and AI Solutions, you will play a key role in designing, building, and scaling automation solutions that improve efficiency, reduce operational effort, and enhance user experience across Warner Bros. Discovery.

In this role, you will not only automate repetitive and rules-based processes, but also help deliver the next generation of AI-enabled automation solutions. This includes supporting intelligent workflows, AI-assisted decisioning, agentic automation patterns, integration with enterprise AI platforms, and automation frameworks that can safely leverage large language models, APIs, data pipelines, and cloud services.

This role focuses on supporting and maintaining existing automation solutions built using UiPath, Power Automate, and Python-based scripts, while contributing to continuous improvement and operational stability.

You will work closely with cross-functional teams across AI, data, engineering, IT, product, and business functions to identify automation opportunities, translate business requirements into scalable technical solutions, and deliver reliable automation assets that can operate securely at enterprise scale. The role will require a strong engineering mindset, practical understanding of AI-enabled solution delivery, and the ability to build automation that is measurable, reusable, maintainable, and aligned to WBD’s technology, security, and governance standards.

This is an exciting opportunity for someone who is passionate about automation, curious about applied AI, and eager to contribute to high-impact solutions that help modernize how the business operates.

1. Automation Strategy, Design & AI Opportunity Assessment

Work with stakeholders to understand business processes, pain points, and opportunities for automation across business and technology teams.
Assess whether a process is best suited for traditional automation, workflow automation, AI-assisted automation, or agentic AI patterns.
Design automation solutions that improve operational efficiency, scalability, quality, and speed of execution.
Partner with AI, data, product, and engineering teams to identify where AI capabilities such as natural language processing, summarization, classification, extraction, recommendation, or decision support can enhance automation outcomes.
Contribute to solution design documents, process maps, technical specifications, and delivery plans for automation and AI-enabled automation initiatives.
Ensure proposed solutions align with enterprise architecture, security, data privacy, responsible AI, and technology governance standards.

2. Automation Support Duties/Responsibilities

Production Support & Monitoring:
- Monitor automated processes (RPA bots and flows) to ensure stable execution.
- Investigate and resolve automation failures and exceptions.
- Perform root cause analysis and document recurring issues.
- Ensure timely incident resolution aligned with SLAs.
Automation Maintenance & Enhancements:
- Support solutions in UiPath, Power Automate, and Python.
- Implement minor enhancements and bug fixes.
- Handle bot re-runs, scheduling, and queue management.
Incident & Change Management:
- Log and track tickets in tools like ServiceNow or Jira.
- Collaborate with L2/L3 teams for complex issues.
- Support deployment validation and releases.

3. Automation Development & Implementation

Develop, test, deploy, and maintain automation scripts, workflows, APIs, and tools to streamline repetitive tasks and business processes.
Build automation components using technologies such as Python, Bash, PowerShell, JavaScript, APIs, cloud services, CI/CD tools, and orchestration platforms.
Implement integrations with enterprise systems, data platforms, workflow tools, and AI services where required.
Support the development of AI-enabled automation deliverables such as intelligent intake workflows, document processing automation, content or metadata extraction, automated triage, reporting automation, and AI-assisted operational workflows.
Collaborate with AI/ML teams to integrate automation with LLMs, AI models, prompt-based workflows, vector search, retrieval-based systems, or enterprise AI services.
Build reusable automation frameworks, connectors, templates, and libraries that can accelerate delivery across multiple use cases.
Ensure solutions are robust, secure, observable, and scalable before production deployment.

4. AI Deliverables & Agentic Workflow Support

Support the delivery of AI-enabled automation use cases from discovery through prototype, pilot, and production deployment.
Help build and configure AI workflow components, including prompt templates, API integrations, retrieval workflows, validation checks, and human-in-the-loop review steps.
Contribute to the development of agentic automation patterns where tasks can be planned, executed, monitored, and escalated using AI-enabled agents under appropriate controls.
Develop automation logic that can orchestrate multiple tools, systems, data sources, and AI services to complete business workflows.
Assist in defining measurable success criteria for AI-enabled automation, including cycle-time reduction, effort savings, quality improvement, accuracy, adoption, and operational reliability.
Support AI solution testing, including prompt validation, regression testing, exception handling, output review, and performance tracking.
Help maintain documentation for AI-enabled workflows, including assumptions, limitations, controls, escalation paths, and support procedures.

5. Collaboration & Cross-functional Coordination

Work closely with engineering, operations, IT, AI, data, security, and business teams to integrate automation solutions into existing platforms and workflows.
Collaborate with product owners and business stakeholders to clarify requirements, prioritize use cases, and define implementation roadmaps.
Support teams in troubleshooting issues related to automation workflows, AI integrations, APIs, data pipelines, and deployed solutions.
Provide ongoing support and maintenance for automation systems, ensuring high availability and minimal disruption to business operations.
Assist in training users and technical teams on automation tools, AI-enabled workflows, operating procedures, and best practices.
Act as a bridge between business users and technical teams by translating operational problems into practical automation and AI delivery requirements.

6. Documentation & Reporting

Create and maintain documentation for automation processes, AI-enabled workflows, tools, integrations, dependencies, and support procedures.
Develop concise reports and dashboards that track automation performance, adoption, operational impact, and business value.
Document test results, known limitations, troubleshooting steps, lessons learned, and reusable best practices.
Provide clear communication on delivery timelines, risks, dependencies, blockers, and progress updates to stakeholders.
Support measurement of business outcomes such as manual effort reduced, processing time saved, error reduction, throughput improvement, and cost avoidance.
Maintain proper version control, change management, and release documentation for automation and AI-enabled solutions.

Qualifications & Experiences:

Academic Qualifications:

Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, or a related technical field.
Master’s degree or certifications in automation engineering, cloud platforms, AI/ML, data engineering, or software engineering would be an advantage.
Certifications in automation frameworks, cloud platforms, DevOps, AI engineering, or related technologies are desirable.

Professional Experience:

3+ years of experience in automation engineering, software engineering or technology delivery roles.
Hands-on experience designing and implementing automation solutions in enterprise or large-scale environments.
Hands-on experience with UiPath and Power Automate.
Experience working with scripting languages such as Python, Bash, PowerShell, JavaScript, or similar.
Good understanding of APIs and automation process debugging.
Experience with CI/CD pipelines, APIs, cloud services, containerization, orchestration, monitoring, and version control.
Exposure to AI-enabled automation, LLM-based tools, prompt-based workflows, document processing, intelligent workflow automation, or AI solution delivery is desirable.
Experience collaborating with AI/ML, data engineering, product, security, and business teams to deliver technology solutions.
Experience in Media & Entertainment, technology, data operations, or similar fast-paced environments would be a plus.

Technical Skills:

Strong knowledge of automation tools such as UiPath and Power Automate and frameworks such as Selenium, Jenkins, Ansible, Robot Framework, Terraform, or equivalent.
Proficiency in Python or other scripting/programming languages used for customized automation solutions and integrations.
Strong understanding of APIs, web services, data formats, workflow orchestration, and system integrations.
Familiarity with cloud platforms such as AWS, Azure, or GCP.
Understanding of containerization and orchestration tools such as Docker and Kubernetes.
Exposure to AI/LLM concepts such as prompt engineering, retrieval-augmented generation, model APIs, evaluation, guardrails, and human-in-the-loop workflows.
Familiarity with monitoring, logging, observability, and operational support practices.
Understanding of secure development, access control, data privacy, and responsible AI principles.

Other Skills:

Strong analytical and problem-solving skills with the ability to simplify complex processes.
Ability to identify where automation or AI can create measurable business value.
Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders.
Comfortable working in a fast-paced environment with multiple priorities and delivery timelines.
Strong attention to detail, quality, documentation, and operational reliability.
Curiosity to explore new automation and AI technologies while applying sound engineering discipline.
Ability to support junior team members and contribute to a culture of continuous learning and innovation.

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.