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.

Your key 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.

Skills and Attributes :

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.

- Experience in Full Stack Development (Java/.NET, etc).

- 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 realtime 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.

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. We'll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

- Continuous learning : You'll develop the mindset and skills to navigate whatever comes next.

- Success as defined by you : We'll provide the tools and flexibility, so you can make a meaningful impact, your way.

- Transformative leadership : We'll give you the insights, coaching and confidence to be the leader the world needs.

- Diverse and inclusive culture : You'll be embraced for who you are and empowered to use your voice to help others find theirs.