Agentic AI Engineer
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Software Engineering · Data Science
In short
As an Agentic AI Engineer at Atlas Copco Group in Pune, you will design, implement, and scale AI-driven solutions to automate and optimize finance processes within Global Business Services. This role involves leveraging agentic AI, LLMs, and cloud platforms like Azure, and requires strong programming skills and experience with ERP systems.
Responsibilities
- Develop and deploy agentic AI solutions using Azure-based services for intelligent automation and AI-driven business capabilities to optimize GBS processes.
- Configure AI capabilities with ERP systems including SAP ECC, Microsoft Dynamics, and Kingdee.
- Develop, test, validate, and deploy AI capabilities within software solutions, including integration of LLMs, prompt engineering, agent orchestration, and retrieval-based approaches.
- Ensure solutions are scalable, secure, and aligned with enterprise architecture standards.
- Monitor performance of AI solutions.
- Contribute to governance, standards, and best practices for AI implementation.
- Stay up to date with emerging AI/automation technologies and recommend innovations.
- Collaborate with cross-functional teams to translate business and technical requirements into integration solutions.
- Ensure data integrity, security, and compliance across integrations.
- Support end-to-end delivery from concept and prototyping through build, testing, deployment, and documentation.
- Ensure solution reliability and quality, including testing, debugging, logging, monitoring, and performance optimization.
- Support deployment and lifecycle management of AI applications using DevOps practices, CI/CD pipelines, and cloud-native architectures.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related discipline; equivalent practical experience may be considered.
- +5 years experience in AI/ML development, automation, or intelligent process optimisation.
- Hands-on experience with ERP platforms (SAP ECC, Microsoft Dynamics, Kingdee or similar).
- Strong programming capability (e.g., Python, JavaScript/TypeScript, .NET, Java).
- Experience with cloud platforms, preferably Microsoft Azure.
- Familiarity with Azure services (e.g., Azure Functions, Azure OpenAI, Cognitive Services, API Management).
- Practical exposure to AI, generative AI, LLM-based applications, agentic AI concepts, workflow orchestration, prompt engineering, retrieval-augmented generation, model integration, and AI evaluation approaches.
- Understanding of full-stack development principles (frontend, backend, databases).
- Experience with process mining or workflow automation tools (e.g. Power Platform, UiPath).
- Strong analytical and problem-solving skills with a data-driven mindset.
- Good communication skills, with the ability to explain complex technical architecture, AI-related risks, and solution options to both technical stakeholders.
- Fluent English; ability to work effectively in a global, cross-functional environment.
- Awareness of AI ethics, data security, and compliance considerations.
Desired Qualifications
- Understanding of finance processes within a GBS or shared services environments would be an advantage.
- Experience integrating AI into real-world applications is a strong advantage.
Benefits
- Work-Life Balance: Policies that support a healthy balance between work and personal life.
- Career Growth Opportunities: Pathways for advancement and career development within the company.
- Company Culture: A positive and supportive work environment that aligns with your values.
- Paid Time Off (PTO): Vacation days, sick leave, and holidays.
- Hybrid work arrangement: 3 days in office
- Health Insurance: Coverage for medical insurance for employee, spouse and kids
- Competitive package: Competitive pay package
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