EY - GDS Consulting - AIA - Gen AI - Senior Manager

Function: Consulting

Position: Senior Manager

Department: Technology Consulting, DA

Title: AI Architect (GenAI)

Educational qualification: BTech/Masters/PhD

The opportunity

We are seeking an experienced AI Architect with over 15 years of professional experience. He needs to be passionate about DA and technology. With a deep understanding of data processing, data structure, algorithms, and machine learning. AI Architect will develop and implement the companys AI capabilities and solutions.

Your key responsibilities

• Design and implement AI/Gen AI applications, systems, and infrastructure across major clouds (Azure, AWS and GCP)
• Collaborate with data engineers data scientists in designing data pipelines AI/ML models.
• Collaborate with clients stakeholders to translate business and functional requirements into robust, scalable, operable solutions.
• Participate in architectural decisions, contribute to the development of architectures for industry-wide use cases, and design architectures for AI/ML and Generative AI
• Set the standards for engineering best practices.
• Identify opportunities where generative AI can provide value and solve business problems.
• Responsible for creating POCs and POVs across horizontals and industry use cases.
• Write high-quality, efficient, testable code in Python and other languages.
• Stay up to date with the latest AI trends and evaluate state-of-the-art AI technologies/framework to drive innovation.
• Facilitate design and architecture workshops and mentor AI engineers in coding best practices and problem-solving.

Skills and Attributes:

Professional Experience

• A minimum of 15 years of professional experience and around 5-8 years in building and deploying AI solutions on-premises or on cloud platforms.

Educational Background

• Bachelor s or master s degree in computer science, Data Science, Engineering, or related field.

Technical Skills

• Experience in providing the MLOps, LLMOps and AgentOps Architecture design
• 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.
• Proven experience in AI/ML solution deployment process on Kubernetes, Web Apps, Databricks or on similar platforms.
• Familiarity with MLOps/ LLMOps and Agent Ops concepts and tech stack. Experience in code versioning, MLFlow, batch prediction and real-time end point workflows.
• Familiarity with Azure DevOps / GitHub actions/ Jenkins / Terraform / AWS CFT etc.
• Experience with responsible AI concepts
• strong Background in Azure Based AI and Data technologies is a must.
• Knowledge of other Hyperscalars will be additional Advantage

Soft Skills

• Excellent problem-solving skills and ability to connect AI capabilities to business value.
• Strong communication and presentation skills.

Other Responsibilities:

• Manage end to end project delivery- scoping, solutioning, designing, developing, testing, deploying or maintaining.
• Ensuring the solutions meet the client requirements and expectations.
• Communicate effectively with the clients and internal stakeholders throughout the project.
• Identify new opportunities and generate proposals for potential clients.
• Present the solutions and showcase the value proposition to senior stakeholders.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.