EY GDS Consulting AIA Full Stack Architect Senior Manager

Function: Consulting Position: Senior Manager

Department: Technology Consulting D&A Title: Full Stack AI Architect (GenAI/AI Insurance)

Position: Full Time Educational qualification: BTech/Masters/PhD

We are seeking a seasoned Full Stack Developer with 1015 years of professional experience including 46 years in building AI-powered applications and full stack architect experience. The ideal candidate should have full stack development AI/ML technologies and delivering scalable intelligent solutions. You will play a key role in designing and implementing AI-infused web applications and platforms that leverage modern cloud and GenAI capabilities.

Responsibilities:

• Design and develop full stack applications integrating AI/ML and GenAI capabilities.
• Build scalable secure and responsive front-end interfaces using modern frameworks (React Angular Vue).
• Develop robust back-end services and APIs using Python or Java with integration to AI/ML models.
• Collaborate with data scientists and AI engineers to embed models into production-grade applications.
• Architect and implement microservices-based solutions on cloud platforms (Azure AWS GCP).
• Integrate LLMs and generative AI APIs (OpenAI Bedrock Vertex AI Gemini) into user-facing applications.
• Ensure seamless CI/CD pipelines using DevOps tools like GitHub Actions Azure DevOps Jenkins Terraform.
• Optimize application performance and scalability across cloud-native environments.
• Implement secure authentication and authorization mechanisms including OAuth2 JWT and role-based access.
• Stay current with emerging AI trends and full stack technologies to drive innovation.
• Mentor junior developers and contribute to engineering best practices.

Qualifications:

• Bachelors or Masters degree in Computer Science Engineering or related field.
• 1015 years of experience in full stack development with 46 years in AI/ML integration.
• Strong proficiency in front-end technologies (HTML5 CSS3 JavaScript React/Angular).
• Expertise in back-end development using Python (Flask/Django) 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 (Docker Kubernetes).
• Solid understanding of cloud services and architecture (Azure App Services AWS Lambda GCP Cloud Run).
• Knowledge of relational and NoSQL databases (PostgreSQL MongoDB Redis).
• Strong problem-solving skills and ability to translate business needs into technical solutions.
• Excellent communication and stakeholder management skills.

Other Responsibilities:

• Manage end to end project delivery- scoping solutioning designing developing testing deploying or maintaining.
• Lead end-to-end delivery of AI-enabled web applications.s
• Collaborate with cross-functional teams to define scope architecture and timelines.
• Ensure solutions meet performance security and usability standards.
• Present technical solutions and prototypes to clients and senior stakeholders.
• Identify opportunities to apply GenAI to enhance user experience and business value.