EY - GDS Consulting - AIA - Gen AI - Senior

At EY, we’re all in to shape your future with confidence. 

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.  Join EY and help to build a better working world.

Job Description: Senior AI Engineer

Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience, including 1–2 years of direct experience in generative and agentic AI (e.g., GANs, VAEs, diffusion models, LLMs, and autonomous/agent-based architectures). This role will design, build and optimize advanced AI systems that not only produce content and automate tasks, but also embody agentic capabilities. Your foundation in machine learning and data science will underpin everything you do: applying your expertise in ML algorithms, data science methodologies, NLP, generative modelling, optimization techniques and AI system architecture to create cutting-edge AI models and systems.

Responsibilities:

Your technical responsibilities:

• Contribute to the design and implementation of state-of-the-art AI solutions.
• Assist in the development and implementation of AI models, and deploy advanced generative AI models for text, vision, audio, or multimodal applications
• Fine-tune and customize LLMs and generative models for domain-specific tasks, leveraging RLHF, transfer learning, and continual learning approaches
• Collaborate with stakeholders to identify business opportunities and define AI project goals.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases.
• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence
• Strong foundation in machine learning and data science: statistical analysis, feature engineering, modelling (supervised/unsupervised), NLP, optimization techniques.
• Hands-on experience with generative modelling (GANs, VAEs, diffusion models) and large language models (LLMs).
• Familiarity with agentic AI concepts: designing agents that plan, act, interact, have memory/context, and orchestrate workflows.
• Proficiency in Python and relevant ML/AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
• Ability to define and build data pipelines, work with structured/unstructured data, and apply data science best practices.
• Demonstrated ability to design and implement AI system architecture: modular, maintainable, scalable.
• Excellent problem-solving skills and the ability to work in a fast-moving, innovative environment.
• Strong communication and collaboration skills: able to interface with engineering, data science, product and business teams.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
• Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
• Understanding of data privacy, security, and ethical considerations in AI applications.

Good to Have Skills:

• Understanding of agentic AI concepts and frameworks
• Proficiency in designing or interacting with agent-based AI architectures
• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
• Implement CI/CD pipelines for streamlined model deployment and scaling processes.
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
• Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models

What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

• The hourly pay range for this job, in the US, is $XXX per hour.  Individual salaries are based on education, geographic location, and alignment to the market data. 
• If you join EY full time after your internship, we offer a competitive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business.  In addition, our Total Rewards package for full time hires includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
• Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being

We value your application
•    To make the most of your application experience, please limit yourself to two applications within a six-month period. 
•    Applications to EY are reviewed by a dedicated member of our early careers team.
•    You may receive outreach from an EY Recruiter to discuss your application and interests.

Are you ready to shape your future with confidence? Apply today. 

To learn more about our anticipated application deadlines, please visit this link.

For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY  |  Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.  

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process,  please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.