Full Stack Architect - Senior Manager

10 - 15 years

0 Lacs

Posted:2 days ago| Platform: Shine logo

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Job Type

Full Time

Job Description

As a Senior Manager Full Stack AI Architect at EY, you will be responsible for designing and developing full stack applications integrating AI/ML and GenAI capabilities. Your key responsibilities will include: - Designing and developing full stack applications integrating AI/ML and GenAI capabilities. - Building scalable, secure, and responsive front-end interfaces using modern frameworks such as React, Angular, or Vue. - Developing robust back-end services and APIs using Python, Node.js, or Java, with integration to AI/ML models. - Collaborating with data scientists and AI engineers to embed models into production-grade applications. - Architecting and implementing microservices-based solutions on cloud platforms like Azure, AWS, or GCP. - Integrating LLMs and generative AI APIs (OpenAI, Bedrock, Vertex AI, Gemini) into user-facing applications. - Ensuring seamless CI/CD pipelines using DevOps tools like GitHub Actions, Azure DevOps, Jenkins, Terraform. - Optimizing application performance and scalability across cloud-native environments. - Implementing secure authentication and authorization mechanisms, including OAuth2, JWT, and role-based access. - Staying current with emerging AI trends and full stack technologies to drive innovation. - Mentoring junior developers and contributing to engineering best practices. Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, or related field. - 10-15 years of experience in full stack development, with 4-6 years in AI/ML integration. - Strong proficiency in front-end technologies such as HTML5, CSS3, JavaScript, React/Angular. - Expertise in back-end development using Python (Flask/Django), Node.js, or Java. - Experience deploying AI/ML models via REST APIs, WebSockets, or serverless functions. - Familiarity with GenAI platforms: OpenAI (Azure), AWS Bedrock, GCP Vertex AI. - Hands-on experience with MLOps/LLMOps workflows and tools (MLFlow, LangChain, Hugging Face). - Experience with containerization and orchestration using Docker, Kubernetes. - Solid understanding of cloud services and architecture (Azure App Services, AWS Lambda, GCP Cloud Run). - Knowledge of relational and NoSQL databases such as PostgreSQL, MongoDB, Redis. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Excellent communication and stakeholder management skills. In addition to the above responsibilities and qualifications, at EY, you will be part of a team that is committed to building a better working world by creating new value for clients, people, society, and the planet. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy, and transactions, providing services in more than 150 countries and territories.,

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EY

Professional Services

London

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