The Solution Architect for Enterprise Applications with AI/ML Exposure is responsible for designing scalable, secure, and maintainable enterprise application architectures. You will be translating business needs into clear technical solutions and design patterns. In addition, you will lead design discussions, code reviews, and solution planning with internal teams, guiding development teams by providing architectural direction and mentoring. Collaboration with DevOps for smooth deployment and CI/CD implementation is also a key aspect of this role. Furthermore, you will actively participate in client meetings and technical solutioning discussions. You will be exploring and proposing the use of AI/ML capabilities where relevant, especially focusing on areas like intelligent search, automation, and data insights. The ideal candidate should possess 8-10 years of experience in software development and solution architecture. Hands-on expertise in either Python or C# .Net is required. A deep understanding of software architecture patterns such as microservices, event-driven, and layered designs is essential. Experience with cloud platforms like AWS, Azure, or GCP is a must. Additionally, solid knowledge of databases (SQL & NoSQL), APIs, and integration techniques is necessary. Exposure to or a strong interest in AI/ML technologies, particularly those involving intelligent automation or data-driven systems, is highly desired. Good interpersonal and communication skills are crucial for this role, as you will be interfacing with clients. The ability to lead technical teams and ensure delivery quality is also a key requirement. If you feel that your experience and interests align with this role, we encourage you to share your updated resume at sunitha.jayasurya@kenanmcpl.com.,
Role Overview: As a Solution Architect for Enterprise Applications with AI/ML Exposure, you will be responsible for designing scalable, secure, and maintainable enterprise application architectures. You will translate business needs into clear technical solutions and design patterns, lead design discussions, code reviews, and solution planning with internal teams, guide development teams by providing architectural direction and mentoring, collaborate with DevOps for smooth deployment and CI/CD implementation, participate in client meetings and technical solutioning discussions, and explore and propose the use of AI/ML capabilities where relevant, especially in areas like intelligent search, automation, and data insights. Key Responsibilities: - Design scalable, secure, and maintainable enterprise application architectures. - Translate business needs into clear technical solutions and design patterns. - Lead design discussions, code reviews, and solution planning with internal teams. - Guide development teams by providing architectural direction and mentoring. - Collaborate with DevOps for smooth deployment and CI/CD implementation. - Participate in client meetings and technical solutioning discussions. - Explore and propose the use of AI/ML capabilities where relevant, especially in areas like intelligent search, automation, and data insights. Qualifications Required: - 8-10 years of experience in software development and solution architecture. - Hands-on expertise in either Python or C# .Net. - Deep understanding of software architecture patterns such as microservices, event-driven, and layered designs. - Experience with cloud platforms like AWS, Azure, or GCP. - Solid knowledge of databases (SQL & NoSQL), APIs, and integration techniques. - Exposure to or strong interest in AI/ML technologies, especially those involving intelligent automation or data-driven systems. - Good interpersonal and communication skills with experience interfacing with clients. - Capability to lead technical teams and ensure delivery quality. If this role aligns with your experience and interests, the company would love to hear from you! Please share your updated resume at sunitha.jayasurya@kenanmcpl.com.,