Automation Excellence Senior Specialist

Overview

Design, build, test and deploy AI-powered intelligent automation and workflow automation solutions that drive efficiency, accuracy and scalability across GSC operations, working closely with the Product Owner, Business Analyst, GDA, platform teams and business SMEs.

What you'll do

• Develop automation solutions using AI frameworks, Python and SQL.
• Convert business requirements and process flows into technical workflows, scripts and automation logic.
• Create reusable components, libraries and frameworks to accelerate delivery.
• Implement API-led and event-driven automation where applicable.
• Design and develop AI-augmented automation solutions using LLMs, RAG pipelines, Copilot Studio, AI Builder and Azure AI Services.
• Build intelligent document processing workflows leveraging OCR, form recognition and LLM-based extraction.
• Develop conversational AI agents and chatbots integrated with enterprise data sources (Dataverse, SharePoint, Excel) for employee self-service and operational support.
• Perform unit, integration and system testing for all automations.
• Embed robust exception handling, logging and monitoring in solutions.
• Deploy automations to production in collaboration with Infra/Operations teams.
• Track automation performance, success rates, failure trends and benefits.
• Evaluate AI model outputs for accuracy, relevance and hallucination risk; implement guardrails and validation layers for AI-driven workflows.
• Prepare technical documentation, design specs, SOPs and release notes.
• Ensure adherence to Maersk security, governance, coding standards and audit controls.
• Maintain version control, access management and compliance with enterprise guidelines.
• Ensure audit-friendly logging and traceability for business-critical automations.
• Follow AI governance and responsible AI principles including data privacy, bias mitigation and transparency.
• Troubleshoot production incidents and perform root-cause analysis.
• Monitor automation health using logs, alerts and dashboards.
• Optimize existing automation solutions for stability and performance.
• Provide hypercare support post-go-live and handover to operations.
• Monitor and fine-tune AI model performance, prompt effectiveness and knowledge source freshness for deployed AI solutions.
• Collaborate with Product Owner, Business Analyst, GDA, platform teams and business SMEs.
• Participate in sprint planning, daily stand-ups, retrospectives and sprint demos.

What you'll need

• Bachelor's or master's degree in Computer Science, Engineering, IT or a related field.
• 7+ years of experience in automation development.
• Strong knowledge of programming languages: Python, .NET, C# and SQL.
• Hands-on experience with Generative AI / LLM-based solutions (e.g., Azure OpenAI, Copilot Studio, LangChain or similar frameworks).
• Experience building RAG (Retrieval-Augmented Generation) pipelines for enterprise Q&A or document intelligence use cases.
• Familiarity with Azure AI Document Intelligence or similar cognitive services for OCR, form processing and email/document classification.
• Understanding of prompt engineering principles and techniques for reliable AI outputs.
• Exposure to agentic AI patterns building multi-step AI agents that can reason, plan and act on enterprise data.
• Awareness of responsible AI practices: bias, fairness, transparency and data governance.
• Excellent analytical and problem-solving abilities.
• Ability to manage multiple projects and prioritize tasks effectively.
• Ability to work collaboratively in a fast-paced, dynamic environment.
• Customer-focused mindset with a passion for delivering high-quality data solutions.
• Curiosity and a growth mindset, eagerness to stay current with rapidly evolving AI/ML technologies and apply them to real-world business problems.

Nice to have

• Experience with Agile methodologies.

Details

• Location: Bengaluru, India.