Automation Excellence Senior Specialist

A.P. Moller - Maersk; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

A.P. Moller - Maersk in Bengaluru, India invites experienced Automation Developers to design, build, test, and deploy AI-powered automation across GSC operations.

You will work with product owners, BAs, GDA, platform teams, and SMEs to deliver secure, scalable automation leveraging Generative AI, LLMs, and document processing. Responsibilities include designing AI-augmented workflows, implementing API-led automation, developing reusable components, and ensuring robust testing, logging, and

Qualifications

• Bachelor’s/Master’s degree in CS/Eng/IT or related field.
• 7+ years of automation development experience.
• Strong programming: Python, .NET, C#, SQL.
• Hands-on Generative AI / LLM-based solutions (Azure OpenAI, Copilot Studio, LangChain).
• Experience building RAG pipelines for enterprise Q&A or doc intelligence.
• Familiarity with Azure AI Document Intelligence for OCR and form processing.
• Understanding of prompt engineering for reliable AI outputs.
• Exposure to agentic AI patterns for multi-step agents.
• Awareness of responsible AI practices; bias, transparency, governance.
• Excellent analytical and problem-solving abilities.

Responsibilities

• Design and develop automation solutions using AI frameworks, Python, SQL.
• Convert business requirements 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 AI-augmented automation using LLMs, RAG pipelines, Copilot Studio, Azure AI Services.
• Build intelligent document processing workflows leveraging OCR and LLM-based extraction.
• Develop conversational AI agents integrated with enterprise data sources for self-service.
• Perform unit, integration, and system testing; ensure robust error handling, logging, and monitoring.
• Deploy automations to production with Infra/Operations; track performance and trends.
• Evaluate AI model outputs for accuracy and guardrails; maintain governance and transparency.
• Prepare technical docs, design specs, SOPs, release notes; audit-friendly logging.

Skills

Python

.NET

C#

SQL

Generative AI / LLM

RAG pipelines

Azure AI Services

Prompt engineering

Agentic AI patterns

Responsible AI practices

Analytical thinking

Education

Bachelor’s/Master’s degree in CS/Eng/IT or related

Tools

Azure OpenAI

Copilot Studio

LangChain

OCR / 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.


• 7+ years of experience in automation development.


• 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.

timing. And may provide full staffing and management for the organization’s major projects/programs.
Professional stream includes those who are individual contributors with main emphasis on applying technical/discipline knowledge rather than managing people to achieve results – although coaching/mentoring less experienced staff, informal supervisory responsibilities, or overseeing work of other lower level professionals or manage processes and program are common.

Individual work ranges from setting objectives and delivering on own work responsibilities to being a leading expert within a given field and influencing long term tactical decisions of the organization.

Progression within this stream reflects increasing depth of professional knowledge, project management capability, and the ability to influence others.
A colleague at this level works independently within defined boundaries and guidelines in a specific area but will need supervision and support on more complex tasks. Knowledge is required for the application of practical methods and techniques, work procedures and processes.

Solutioning is through a choice between known alternatives, within the area of expertise and the leader will evaluate the appropriateness and effectiveness of the solution.
The job requires previous work experience in a related area, or practical knowledge obtained via advanced education.

Leaders at this level manage employees day-to-day and set priorities to ensure task completion.

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.