Artificial Intelligence Engineer

Dreaming big is in our DNA. It's who we are as a company. It's our culture. It's our heritage. And more than ever, it's our future. A future where we're always looking forward. Always serving up new ways to meet life's moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.

Do You Dream Big

We Need You.

Job Description Job

Title: AI Engineer Location:

Bengaluru (Onsite)

Reporting to: Senior Manager, Analytics

PURPOSE OF ROLE

We are seeking a professional with expertise in applying Generative Artificial Intelligence to join our our procurement technology project team. As a team member, you will be responsible for developing and implementing innovative solutions globally, primarily using generative AI technologies, directly contributing to optimize our business operations and transform customer experience through advanced technological solutions.

KEY TASKS AND ACCOUNTABILITIES

• Design, develop, and maintain end-to-end software solutions using generative AI technologies and machine learning within the logistics technology department.

• Utilize low/no-code tools as accelerators for development and solution implementation.

• Good to Have - Integrate and work with SAP systems to ensure seamless data flow between procurement and logistics operations.

• Familiarity with Model Context Protocol (MCP) to structure, manage, and optimize data exchange between applications and ML models.

• Develop and deploy applications using Python and Machine Learning (ML) stack to automate invoice validation, anomaly detection, and data analysis.

• Collaborate with cross-functional teams to gather requirements, propose technical solutions, and align deliverables with business needs.

• Implement and maintain deployment pipelines, leveraging Azure DevOps for CI/CD automation.

• Ensure solutions meet compliance, security, and performance standards.

• Conduct code reviews and enforce best practices in software engineering.

• Maximize scalability, performance, usability, and reliability of developed applications

• Document technical designs, workflows, and processes for both technical and non-technical stakeholders.

• Support and troubleshoot production issues, ensuring minimal downtime and quick resolution.

• Systematically analyze continuous improvement opportunities in already developed systems.

• Demonstrate initiative for autonomous learning and constant updates on emerging technologies • Actively participate in Scrum events and ensure commitment to agreed schedules and deliveries

QUALIFICATIONS, EXPERIENCE, SKILLS

Education:

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field.

Experience:

• Minimum of 5 years of hands-on experience as a Software Engineer, with a proven track record of delivering high-quality, scalable, and maintainable solutions in a collaborative team environment.

Technical/Functional Skills:

Mandatory Skills:

• Strong proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with Model Context Protocol (MCP) for managing context in ML-driven applications.

• Familiarity with containerization (Docker, Kubernetes).

• Experience in application development and deployment in production environments.

• Experience with cloud platforms (preferably Azure).

• Strong problem-solving skills and ability to work with large datasets.

• Excellent communication skills; proficient in English (written and spoken).

• Ability to work collaboratively in a fast-paced, agile environment.

• Participate in and promote collaboration, sharing knowledge and best practices.

• Consistently apply compassionate communication in the professional environment.

• Present technical content to leadership and other stakeholders in fluent English.

Preferred (Good to have) Skills:

• Professional experience in the Consumer-Packaged Goods (CPG) sector

• Previous work under Agile methodology and Scrum framework

• Familiarity with Azure DevOps and CI/CD pipelines.

• Knowledge of procurement systems and processes

And above all of this, an undying love for beer!

We dream big to create future with more cheers.