Responsibilities :

Join our Analytics, Data Strategy, and AI team and help engineer the next generation of our digital capabilities. We are looking for a hands-on, highly motivated problem solver to play a pivotal role in scaling our proprietary agentic AI initiatives.

This is a role for a true builder with a strong systems-thinking mindset. We need someone who is endlessly curious, excels at rapidly mastering new technologies, and understands how individual AI components interact within our broader technical architecture.

Rather than simply tuning existing models, you will actively expand our AI's cognitive capabilities, integrate new frameworks on the fly, and deliver measurable business value. If you have a passion for taking an idea from the whiteboard to production and building robust, reusable solutions that elevate the entire ecosystem, this is where you belong.

Educational & Required Qualifications :

- 5 - 7 years of hands-on experience in AI/ML engineering, including Machine Learning, Deep Learning, statistical modeling, and data modeling on large-scale datasets.

- Strong experience in Generative AI, Large Language Models (LLMs), and Agentic AI, including building AI agents and production-grade AI applications.

- Proficiency in ML model development using Python, TensorFlow, PyTorch, and related ML libraries.

- Experience with Agentic AI platforms such as Glean and Agent Bricks, and orchestration frameworks such as LangChain.

- Experience with LLM evaluation, observability, and monitoring tools such as Langfuse and LangSmith.

- Strong programming and API development skills using Python, FastAPI, and SQL.

- Experience working with databases and large-scale data technologies such as MySQL, PostgreSQL, MongoDB, and Spark SQL.

- Strong understanding of data structures, design patterns, automation, and software engineering best practices.

- Experience with real-time/streaming technologies such as Kafka and Amazon Kinesis.

- Hands-on experience in developing, deploying, and productionizing AI/ML applications using Docker and Kubernetes.

- Familiarity with Git-based version control, preferably Azure Git/Azure DevOps.

- Proven experience in leading AI/ML projects end-to-end, from business requirements and solution design through development, deployment, and production support.

- Ability to translate business requirements into scalable technical and AI/ML solutions.

- Experience leading and mentoring team members, along with strong written and verbal communication skills.

- Bachelor's degree in Computer Science, Engineering, Data Science, or an equivalent discipline.

- Retail industry experience is a strong plus.

7-Eleven Global Solution Center is an Equal Opportunity Employer committed to diversity in the workplace. Our strategy focuses on three core pillars - workplace culture, diverse talent and how we show up in the communities we serve. As the recognized leader in convenience, the 7-Eleven family of brands embraces diversity, equity and inclusion (DE+I). It's not only the right thing to do for customers, Franchisees and employees - it's a business imperative.