What You Bring

● You have 5+ years of experience in software engineering, enterprise application development, or solution architecture, with hands-on exposure to AI/ML-driven solutions.

● You bring strong development expertise in technologies such as Python, Java, TypeScript, or Go.

● You have practical experience integrating AI or machine learning capabilities into enterprise applications or digital platforms.

● You are comfortable working with cloud platforms such as AWS, Azure, or Google Cloud.

● You understand APIs, microservices, distributed systems, containerization, and modern integration patterns.

● You have experience using AI-assisted development tools and engineering productivity accelerators.

● You bring strong experience with Agile delivery, DevOps practices, CI/CD automation, and engineering lifecycle execution.

● You understand secure engineering principles, data privacy considerations, and enterprise governance expectations.

● You are a structured problem solver with strong communication and stakeholder management skills.

Good to have skills / qualifications

● Experience building and scaling machine learning, generative AI, or intelligent automation solutions in production environments.

● Familiarity with MLOps, LLM integration, prompt engineering, model monitoring, and AI validation practices.

● Experience working within banking, fintech, payments, or other highly regulated industry environments.

● An advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related discipline.

● Relevant certifications in cloud architecture, enterprise solution design, platform engineering, or AI/ML, such as AWS/Azure/GCP Solutions Architect, TOGAF, Certified Kubernetes Administrator, with exposure to Lean Six Sigma considered an advantage.

● Experience leading engineering transformation, automation initiatives, or enterprise modernization programs.

● Demonstrated passion for innovation through open-source contributions, experimentation with emerging tech