This role is for one of our clients
Industry: Manufacturing and Service
Seniority level: Mid-Senior level
Min Experience: 10+ years
Location: Mumbai
JobType: full-time
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Key Responsibilities- Architecture & Design
- Lead end-to-end solution architecture for enterprise applications using .NET technologies
- Design scalable, secure, and high-availability systems, integrating cloud-native services
- Incorporate AI/ML components into applications (e.g., predictive analytics, NLP, intelligent automation)
- Technical Leadership
- Guide development teams on best practices, frameworks, and coding standards
- Review solution designs and code to ensure quality and adherence to architectural principles
- Mentor engineers and contribute to capability-building across .NET and AI technologies
- Stakeholder Management
- Collaborate with business leaders, product managers, and cross-functional teams to translate business requirements into technical solutions
- Present architectural decisions, trade-offs, and recommendations to senior management
- Innovation & Modernization
- Stay updated on emerging technologies, especially in AI and cloud-native development
- Drive proof-of-concepts (POCs) for AI-based features such as chatbots, computer vision, or recommendation engines
- Support cloud adoption and modernization of legacy applications
Required Skills & Experience- Technical Expertise
- 10+ years of professional experience in designing and developing enterprise solutions using .NET / .NET Core, C#, ASP.NET MVC/Web API, Entity Framework
- Strong background in SQL Server and database design
- Hands-on experience with cloud platforms (Azure preferred, AWS/GCP optional)
- Exposure to AI/ML concepts and frameworks (Azure AI, TensorFlow, PyTorch, or similar).
- Exposure with Langchain or similar framework
- Experience working on LLM based AI solution
- Architecture Skills
- Strong knowledge of microservices, event-driven architecture, API design, and REST/GraphQL
- Familiarity with DevOps practices, CI/CD pipelines, containerization (Docker, Kubernetes)
- Understanding of security, compliance, and performance optimization
- Soft Skills
- Excellent communication and stakeholder management
- Strong problem-solving and decision-making ability
- Experience in leading technical teams and mentoring developers
