Automation Excellence Lead - Gen AI Developer

A.P. Moller Maersk; Pune District, Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A.P. Moller Maersk is seeking an Automation Developer to design, build, test, and deploy AI-powered automation solutions across GSC operations.

You will work with product owners, BAs, and platform teams to deliver secure, scalable automation using Generative AI, LLMs, and RAG pipelines. The role requires 7+ years in automation with strong Python, .NET/C#, and SQL skills, and hands-on experience with Azure AI services, Copilot Studio, and LangChain.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, IT, or related.
• 7+ years experience in relevant field, with 5+ years in automation development preferred.
• Strong programming skills: Python, .NET, C#, SQL.
• Hands-on with Generative AI/LLM-based solutions and AI frameworks.
• Experience building RAG pipelines for enterprise Q&A or document intelligence.
• Familiarity with Azure AI services for OCR, form processing, classification.
• Understanding of prompt engineering and multi-step AI agents.

Responsibilities

• Design, build, test, and deploy automation solutions (AI-powered and workflow automation).
• Develop AI-augmented automation using LLMs, RAG pipelines, and Azure AI Services.
• Create reusable components and frameworks to accelerate delivery.
• Implement API-led and event-driven automation.
• Develop intelligent document processing workflows using OCR and extraction.
• Build chatbots integrated with enterprise data sources for self-service.

Skills

Python

C#

.NET

SQL

Generative AI

LLM pipelines

Prompt engineering

Azure AI

Data governance

Education

Bachelor's/Master's in CS/Engineering

Tools

Azure OpenAI

Copilot Studio

LangChain

Azure AI Document Intelligence

Job description

About The Role:

The Automation Developer is responsible for designing, building, testing, and deploying high-quality automation solutions (AI-powered intelligent automation and Workflow Automation) that drive efficiency, accuracy, and scalability across GSC operations. The role works closely with the Product Owner, Business Analyst, GDA, platform teams, and business SMEs to deliver reliable, secure, and maintainable automation products. The role also involves leveraging AI/ML capabilities including Generative AI and LLMs to build next-generation intelligent automation solutions.

Key Responsibilities:

Solution Design & Development

• Develop automation solutions using tools such as AI frameworks / Python / 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 / chatbots integrated with enterprise data sources (Dataverse, SharePoint, Excel) for employee self-service and operational support.

Testing & Deployment

• Perform unit testing, integration testing, and system testing for all automations.
• Ensure robust exception handling, logging, and monitoring is embedded 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.

Documentation & Compliance

• 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 in all AI-enabled solutions.

Support & Maintenance

• Troubleshoot production incidents and perform root-cause analysis.
• Monitor automation health using logs, alerts, and dashboards.
• Optimize existing automation solutions for improved 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.

Cross-Functional Collaboration

• Collaborate with Product Owner, Business Analyst, GDA, platform teams, and business SMEs.
• Participate in sprint planning, daily stand-ups, retros, and sprint demos.

Required Skills and Qualifications

• Bachelor's/master's degree in Computer Science, Engineering, IT, or a related field.
• Overall 7+ years of experience required in relevant field of which 5+ years of experience in automation development preferred.
• Strong knowledge of programming languages: Python, .NET, C#, 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.

Soft Skills

• Ability to manage multiple projects and prioritize tasks effectively.
• Experience with Agile methodologies is a plus.
• 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.