Advance your career at EY, a global leader offering unparalleled scale, support, and a culture of inclusion. We seek passionate AI Architects with over 15 years of experience, specializing in Agentic AI and automation. This role involves developing and implementing cutting-edge AI capabilities and solutions, leveraging deep expertise in Agentic AI deployment, data processing, algorithms, and machine learning.

Join a dynamic team at EY GDS Consulting, driving innovation in AI and shaping the future of banking and capital markets. This is an opportunity to build an exceptional career while contributing to a better working world.

Key responsibilities include designing and implementing Agentic AI/Gen AI applications across major cloud platforms (Azure, AWS, GCP). You'll collaborate with clients and stakeholders to translate business needs into scalable solutions, contribute to industry-wide AI architectures, and work alongside data engineers and scientists on data pipelines and AI/ML models.

Additionally, you will set engineering best practices, identify generative AI opportunities, create Proofs of Concept (POCs) and Proofs of Value (POVs), and write high-quality Python code. Mentoring AI engineers and staying abreast of the latest AI trends are also integral parts of this role.

We are looking for an AI Architect with a minimum of 15 years of professional experience, including 5-8 years in building and deploying AI solutions on-premises or in the cloud. A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field is required.

Essential technical skills encompass Agentic AI, Generative AI, MLOps, LLMOps, AgentOps architecture design, cloud platform AI/ML deployment (Azure, AWS, GCP), LLM model orchestration, SQL, data modeling, microservices architecture, machine learning, deep learning, NLP, GenAI, Python, and PySpark. Experience with security integration, AI/ML deployment processes on platforms like Kubernetes, and familiarity with MLOps/LLMOps/Agent Ops concepts are crucial. Proficiency in Azure DevOps, GitHub Actions, Jenkins, Terraform, or AWS CFT is also expected. Strong problem-solving, communication, and presentation skills are vital.