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EY - GDS Consulting - AIA - AI Engineer - senior manager

ExperiencedNo visa sponsorship
Ernst & Young logo

at Ernst & Young

Big Four

Posted 15 days ago

No clicks

**AI Architect (Senior Manager)** at EY - GenAI, AI Banking & Capital Markets - **Design & Deploy** Agentic/GenAI systems on Azure, AWS, and GCP. Collaborate with clients, stakeholders, and cross-functional teams. - **Architectural Decisions & Standards**: Contribute to industry-wide use cases, design and implement AI/ML architectures. Set best practices for engineering. - **AI Ops & Engineering**: Manage workflows for MLOps/LLMOps/AgentOps, including code versioning, MLFlow, batch prediction, real-time endpoints. Deploy AI/ML solutions on Kubernetes, Web Apps, Databricks, etc. - **Technical Skills**: Expertise in Agentic/Generative/Machine/Deep Learning, NLP, LLM models, cloud computing, microservice architecture, Python/pyspark, SQL, MLOps, responsible AI. - **Soft Skills**: Excellent problem-solving, stakeholder management, strong communication. Drive AI value for business outcomes. - **Leadership & Project Management**: End-to-end project delivery, client satisfaction, opportunity identification, proposal generation, and stakeholder presentations. 15+ years of professional experience, 5-8 years in AI solution-building. Bachelor's/Master's in Computer Science, Data Science, or related field. Join us to drive AI innovation globally.

Compensation
Not specified

Currency: Not specified

City
Chennai
Country
India

Full Job Description

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

 

 

 

 

Title: AI Architect (GenAI/AI Banking and Capital Markets)

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 AI, Agentic and automation. With a deep understanding of Agentic AI including deploying Agentic systems in production, data processing, data structure, algorithms, machine learning the AI Architect will develop and implement the AI capabilities and solutions.

 

Your key responsibilities

  • Design and implement Agentic AI/Gen AI applications, systems, and infrastructure across major clouds (Azure, AWS and GCP)
  • 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 Agentic AI, Generative AI and AI/ML
  • Collaborate with data engineers & data scientists in designing data pipelines & AI/ML models.
  • 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.
  • 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

  • Bachelors or masters degree in computer science, Data Science, Engineering, or related field.

 

Technical Skills

  • Experience in providing the Agentic AI, Generative AI, 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 orchestrating 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

 

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.

 

Why Join Us

  • Be at the forefront of AI-driven innovation across multiple client sectors.
  • Work with global clients to drive real business impact.
  • Collaborate with a team of AI experts, analytics leaders, and industry specialists in a highly entrepreneurial environment.

 

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations Argentina, China, India, the Philippines, Poland and the UK and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. Well introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

  • Continuous learning: Youll develop the mindset and skills to navigate whatever comes next.
  • Success as defined by you: Well provide the tools and flexibility, so you can make a meaningful impact, your way.
  • Transformative leadership: Well give you the insights, coaching and confidence to be the leader the world needs.
  • Diverse and inclusive culture: Youll be embraced for who you are and empowered to use your voice to help others find theirs.

 

 

EY | Building a better working world 


 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  


 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  


 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  

EY - GDS Consulting - AIA - AI Engineer - senior manager

Compensation

Not specified

City: Chennai

Country: India

Ernst & Young logo
Big Four

15 days ago

No clicks

at Ernst & Young

ExperiencedNo visa sponsorship

**AI Architect (Senior Manager)** at EY - GenAI, AI Banking & Capital Markets - **Design & Deploy** Agentic/GenAI systems on Azure, AWS, and GCP. Collaborate with clients, stakeholders, and cross-functional teams. - **Architectural Decisions & Standards**: Contribute to industry-wide use cases, design and implement AI/ML architectures. Set best practices for engineering. - **AI Ops & Engineering**: Manage workflows for MLOps/LLMOps/AgentOps, including code versioning, MLFlow, batch prediction, real-time endpoints. Deploy AI/ML solutions on Kubernetes, Web Apps, Databricks, etc. - **Technical Skills**: Expertise in Agentic/Generative/Machine/Deep Learning, NLP, LLM models, cloud computing, microservice architecture, Python/pyspark, SQL, MLOps, responsible AI. - **Soft Skills**: Excellent problem-solving, stakeholder management, strong communication. Drive AI value for business outcomes. - **Leadership & Project Management**: End-to-end project delivery, client satisfaction, opportunity identification, proposal generation, and stakeholder presentations. 15+ years of professional experience, 5-8 years in AI solution-building. Bachelor's/Master's in Computer Science, Data Science, or related field. Join us to drive AI innovation globally.

Full Job Description

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

 

 

 

 

Title: AI Architect (GenAI/AI Banking and Capital Markets)

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 AI, Agentic and automation. With a deep understanding of Agentic AI including deploying Agentic systems in production, data processing, data structure, algorithms, machine learning the AI Architect will develop and implement the AI capabilities and solutions.

 

Your key responsibilities

  • Design and implement Agentic AI/Gen AI applications, systems, and infrastructure across major clouds (Azure, AWS and GCP)
  • 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 Agentic AI, Generative AI and AI/ML
  • Collaborate with data engineers & data scientists in designing data pipelines & AI/ML models.
  • 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.
  • 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

  • Bachelors or masters degree in computer science, Data Science, Engineering, or related field.

 

Technical Skills

  • Experience in providing the Agentic AI, Generative AI, 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 orchestrating 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

 

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.

 

Why Join Us

  • Be at the forefront of AI-driven innovation across multiple client sectors.
  • Work with global clients to drive real business impact.
  • Collaborate with a team of AI experts, analytics leaders, and industry specialists in a highly entrepreneurial environment.

 

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations Argentina, China, India, the Philippines, Poland and the UK and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. Well introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

  • Continuous learning: Youll develop the mindset and skills to navigate whatever comes next.
  • Success as defined by you: Well provide the tools and flexibility, so you can make a meaningful impact, your way.
  • Transformative leadership: Well give you the insights, coaching and confidence to be the leader the world needs.
  • Diverse and inclusive culture: Youll be embraced for who you are and empowered to use your voice to help others find theirs.

 

 

EY | Building a better working world 


 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  


 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  


 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.