Technical Architect

This role is for one of the Weekday's clients

Salary range: Rs 500000 - Rs 2800000 (ie INR 5 - 28 LPA)

Min Experience: 10+ years

Location: Mumbai

JobType: full-time

Requirements

Key Responsibilities

• Architecture & Design
• Oversee the complete solution architecture of enterprise applications utilizing .NET technologies.
• Create systems that are scalable, secure, and highly available, incorporating cloud-native services.
• Integrate AI/ML functionalities within applications, such as predictive analytics, natural language processing, and intelligent automation.
• Technical Leadership
• Provide guidance to development teams on best practices, frameworks, and coding standards.
• Evaluate solution designs and code to maintain quality standards and ensure compliance with architectural guidelines.
• Mentor engineers and actively support skill development in .NET and AI technologies.
• Stakeholder Management
• Work closely with business leaders, product managers, and cross-functional teams to convert business needs into technical solutions.
• Communicate architectural decisions, trade-offs, and suggestions effectively to senior management.
• Innovation & Modernization
• Keep abreast of the latest technology trends, with a focus on AI and cloud-native development.
• Lead proof-of-concept initiatives for AI-driven features such as chatbots, computer vision, and recommendation systems.
• Facilitate cloud adoption processes and drive the modernization of legacy applications.

Required Skills & Experience

• Technical Expertise
• Over 10 years of experience designing and building enterprise solutions with .NET / .NET Core, C#, ASP.NET MVC/Web API, and Entity Framework.
• Strong proficiency in SQL Server and database design principles.
• Practical experience with cloud platforms (preferably Azure, with AWS/GCP as optional).
• Familiarity with AI/ML frameworks and concepts such as Azure AI, TensorFlow, PyTorch, or similar platforms.
• Experience working with Langchain or comparable frameworks.
• Hands-on experience developing AI solutions based on large language models (LLM).
• Architecture Skills
• Deep understanding of microservices architecture, event-driven design, API design, and REST/GraphQL technologies.
• Knowledge of DevOps methodologies, continuous integration/continuous deployment (CI/CD) pipelines, and container technologies such as Docker and Kubernetes.
• A solid grasp of security standards, compliance requirements, and performance tuning.
• Soft Skills
• Strong communication abilities and effective stakeholder engagement.