Senior GenAI Consultant
Ernst Young · Mumbai · onsite · Posted 44d ago
Undisclosed5–8 yrsfulltimeSourced from
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About this role
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.
- Educational qualification: BTech/Masters/PhD
- A minimum of 5-8 years in building and deploying AI and Gen AI solutions on-premises or on cloud platforms.
- 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
- 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.
Sourced from naukri
Skills
Azure DevopsBedrockCrewaicloud platformsaws bedrockamazon web servicesai technologiesdeployment processAnalyticsCapital MarketsdeploymentDatabrickscloudAlgorithmsArchitectureDeep LearningData ProcessingAi SolutionsMicrosoft AzureArtificial Intelligence
About Ernst & Young
Ernst Young
Management Consulting
44k+
employees
2002
24 years old
Gurgaon / Gurugram, Haryana
India
₹15.3L PA avg
Avg at Ernst & Young
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