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Solution Architect – Enterprise Applications with AI/ML Exposure

10 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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. Show more Show less

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