Senior GenAI Consultant

EY; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EY is seeking an experienced Senior AI Developer with 5-8 years of professional experience. You will design and implement AI/GenAI applications and infrastructure across major clouds (Azure, AWS, GCP) and collaborate with data engineers to build robust models.

You will participate in architectural decisions, mentor AI engineers, and translate business requirements into scalable AI solutions. Proficiency in Python and ML, plus strong communication, is essential for success in this Mumbai-based

Qualifications

• Educational qualification: BTech/Masters/PhD.
• 5–8 years of experience in AI/Gen AI projects.
• Experience with cloud AI deployments and MLOps.

Responsibilities

• Design and implement AI/GenAI applications across Azure, AWS and GCP.
• Collaborate with data engineers to build AI/ML models.
• Translate business requirements into robust, scalable AI solutions.
• Contribute to architecture decisions for AI/ML and Generative AI use cases.
• Set engineering best-practices standards.
• Identify opportunities where generative AI adds business value.
• Create POCs and POVs across horizontals and industry use cases.
• Write high-quality, efficient, testable Python code and other languages.
• Stay updated with AI trends and evaluate state-of-the-art tech.
• Facilitate workshops and mentor AI engineers.

Skills

Python

Pyspark

NLP

GenAI

ML

Data processing

Algorithms

Cloud platforms

Communication

Problem-solving

Education

BTech/Masters/PhD

Tools

Azure

AWS

GCP

Kubernetes

Databricks

MLFlow

Jenkins

Terraform

GitHub Actions

OpenAI on Azure

Job description

Job Summary

We are seeking an experienced Senior AI Developer with 5-8 years of professional experience. He needs to be passionate about D&A and technology. With a deep understanding of data processing, data structure, algorithms, and machine learning. AI Architect will develop and implement the company's AI capabilities and solutions.

Responsibilities

• Design and implement AI/Gen AI applications, systems, and infrastructure across major clouds (Azure, AWS and GCP)
• Collaborate with data engineers & build 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.

Qualifications

• Educational qualification: BTech/Masters/PhD

Professional Experience

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

Preferred / Good-to-Have 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 Agentic frameworks building and deploying (e.g. Semantic Kernel, CrewAI, LangGraph etc.)
• 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.
• Familiarity with Responsible AI concepts
• strong Background in Azure Based AI and Data technologies is a must.
• Knowledge of other Hyperscalars will be additional Advantage

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.