EY EY - GDS Consulting AI DATA Senior Architect Manager 

India, Kerala, Thiruvananthapuram 

590701502

Key Responsibilities:

• Architectural Design: Develop and oversee data architectures and application frameworks that support AI initiatives. Ensure integration of data and applications with existing systems to create cohesive and efficient solutions.

• AI Solutions: Design and implement AI-driven models and solutions, leveraging machine learning, natural language processing, and other AI technologies to solve complex business problems.
• Cloud Integration: Architect cloud-based solutions that support scalability, security, and performance for AI applications. Collaborate with cloud providers and internal teams to ensure optimal cloud infrastructure.
• User Interface Design: Work with UI/UX teams to ensure that AI solutions have user-friendly interfaces and deliver an exceptional user experience.
• Leadership & Collaboration: Lead a team of architects and engineers, providing guidance and support in the development of AI solutions. Collaborate with stakeholders across departments to align technical strategies with business goals.
• Strategic Planning: Develop and implement architectural strategies and roadmaps that align with the company’s vision and technology advancements.
• Go-To-Market Strategy (GTM): Collaborate with onsite teams and senior architects in the team to define and execute go-to-market strategies for AI solutions. Provide architectural insights that align with client’s needs and support successful solution development.
• Innovation & Best Practices: Stay abreast of industry trends and emerging technologies to drive innovation and implement best practices in AI architecture and implementation.
• Qualifications:
• Education: Bachelor’s or Master’s degree in computer Science, engineering, Data Science, mathematics or a related field.
• Experience: Minimum of 15 years of experience in a senior architectural role with a focus on AI, data management, application development, and cloud technologies.
• Technical Skills:
  • Hand-on experience in deploying AI/ML solutions on different cloud platforms like Azure, AWS and/or Google Cloud.
  • Experience in using and orchestration LLM models on cloud platforms i.e., OpenAI @ Azure/AWS Bedrock/ GCP Vertex AI or Gemini AI
  • Experience in writing SQL and data modelling.
  • Experience in designing and implementation of AI solution using microservice based architecture.
  • Understanding of machine learning, deep learning, NLP and GenAI.
  • Strong programming skills in Python and/or pyspark.
  • Proven experience in integrating authentication security measures within machine learning operations and applications.
  • Excellent problem-solving skills and ability to connect AI capabilities to business value.
  • Strong communication and presentation skills.
  • Proven experience in AI/ML solution deployment process on Kubernetes, Web Apps, Databricks or on similar platforms.
  • Familiarity with MLOps concepts and tech stack. Good to know code versioning, MLFlow, batch prediction and real-time end point workflows.
  • Familiarity with Azure DevOps / GitHub actions/ Jenkins / Terraform / AWS CFT etc.
• Leadership: Demonstrated ability to lead teams, manage complex projects, and work effectively with stakeholders at all levels.
• Problem-Solving: Strong analytical and problem-solving skills with the ability to design innovative solutions to complex challenges.
• Communication: Excellent verbal and written communication skills with the ability to convey technical concepts to non-technical stakeholders

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