Solution Architect – Enterprise Applications with AI/ML Exposure

Job Summary

We’re looking for a talented Solution Architect with a strong foundation in designing and developing large-scale enterprise applications, and a growing interest or experience in modern AI/ML-driven technologies. This role is ideal for someone who is confident in architecture, passionate about emerging trends like AI/ML, and eager to help shape intelligent systems in collaboration with engineering and business teams.

 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 direct on 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.

Must-Have Skills & Qualifications 

 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 pa erns—microservices, event-driven, layered 

designs. 

 Experience with cloud platforms (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; experience interfacing with clients. 

 Capability to lead technical teams and ensure delivery quality.

Preferred Skills 

 Awareness of LLMs, vector databases (e.g., Pinecone, FAISS), or RAG-based systems is a plus.

 Familiarity with Docker, Kubernetes, or DevOps workflows.

 Knowledge of MLOps or experience working alongside data science teams.

 Certifications in cloud architecture or AI/ML are a bonus.