ey Responsibilities
✅ Architect, develop, and deploy AI-powered enterprise applications and intelligent automation solutions.
✅ Translate business requirements into scalable, secure, and production-ready AI systems.
✅ Build and integrate AI/ML capabilities into enterprise platforms and digital products.
✅ Design cloud-native applications leveraging AWS, Azure, or Google Cloud Platform (GCP).
✅ Develop APIs, microservices, distributed systems, and modern integration frameworks.
✅ Implement DevOps best practices, CI/CD automation, and engineering lifecycle processes.
✅ Utilize AI-assisted development tools to improve productivity and accelerate delivery.
✅ Ensure compliance with security standards, governance frameworks, and data privacy requirements.
✅ Collaborate with cross-functional teams, product stakeholders, and business leaders to deliver innovative solutions.
Required Skills
🔹 5+ years of experience in Software Engineering, Solution Architecture, or Enterprise Application Development.
🔹 Strong programming expertise in *Python, Java, TypeScript, or Go*.
🔹 Hands-on experience integrating AI/ML solutions into enterprise applications.
🔹 Experience with cloud platforms such as *AWS, Azure, or GCP*.
🔹 Strong understanding of *APIs, Microservices, Distributed Systems, and Containerization*.
🔹 Experience with *Agile methodologies, DevOps practices, and CI/CD pipelines*.
🔹 Knowledge of secure software development and enterprise governance standards.
🔹 Excellent problem-solving, communication, and stakeholder management skills.
Good to Have
⭐ Experience with *Machine Learning, Generative AI, Intelligent Automation, or LLM-based solutions*.
⭐ Knowledge of *MLOps, Prompt Engineering, Model Monitoring, AI Validation, and LLM Integration*.
⭐ Experience in *Banking, FinTech, Payments, or other regulated industries*.
⭐ Advanced degree in Computer Science, Artificial Intelligence, Engineering, or related fields.
⭐ Certifications such as *AWS/Azure/GCP Solutions Architect, TOGAF, CKA, or Lean Six Sigma*.
⭐ Experience leading engineering modernization, transformation, or automation initiatives.
⭐ Contributions to open-source projects and a passion for emerging technologies.