EY - GDS Consulting - AI Enabled Automation - Full Stack - Senior
Job description
At EY, you’ll 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 we’re 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.
EY-Consulting – AI Enabled Automation – Senior - FullStack
We are seeking a skilled and experienced Cognitive Developer to join our team. As a Cognitive Developer, you will be responsible for designing, developing, and implementing intelligent solutions that leverage cutting-edge technologies such as .Net Core, Azure Cloud, Angular/React and Python (good to have knowledge of LLM). The ideal candidate will also have experience in developing chatbots and utilizing Azure AI Services.
Key Responsibilities
Solution Architecture and Development
- Design and implement full-stack solutions with a focus on Generative AI applications, including Retrieval-Augmented Generation (RAG) architectures, Agentic Automations using Crew AI / Autogen/ LangGraph / Magentic One.
- Develop scalable, secure, and high-performance solutions aligned with client business objectives.
- Conduct code reviews to ensure quality, performance, and adherence to best practices.
- Create detailed solution designs and estimations to support project planning and resource allocation.
- Communicate technical architectures and solutions effectively to both technical and non-technical stakeholders.
Generative AI Development
- Build and deploy Generative AI solutions using technologies such as Large Language Models (LLMs) and RAG frameworks.
- Leverage Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, LangChain) to integrate AI capabilities into full-stack applications.
- Stay updated on advancements in Generative AI, experimenting with new models, tools, and techniques to enhance service offerings.
- Develop reusable AI components and frameworks to streamline project delivery.
Project Delivery and Leadership
- Lead the implementation of complex full-stack development projects, ensuring timely delivery and high-quality outcomes.
- Provide technical guidance across the full stack, including front-end, back-end, and AI integration.
- Identify and address technical risks throughout the project lifecycle.
- Support the creation of go-to-market strategies and presentation materials to showcase Generative AI capabilities to clients.
Requirements:
Required Skills and Experience
- Bachelors/master’s degree in computer science, Engineering, or a related field.
- 3 – 6 years of professional experience in full-stack development, with a focus on solution architecture and design.
- Fundamental knowledge of Machine Learning, Model Selection, Exploratory Data Analysis and Deep Learning.
- Proficiency in front-end technologies (HTML, CSS, JavaScript, modern frameworks (ReactJS / Angular JS / Vue JS) and back-end languages (e.g., FastAPI / DJango / Node.js).
- Advanced expertise in Python and some project exposure on AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, LangChain).
- Proven experience in designing and implementing Generative AI solutions and RAG architectures end to end, development to deployment
- Strong knowledge of database technologies (relational and NoSQL), databases such as (MySQL / Postgres / SQL Server, optionally MongoDB or Cosmos), and API development.
- Proficiency on Azure is preferred and experience with developing and deploying solutions end to end in MS Stack or Python into Azure and DevOps practices.
- Familiarity with cloud platforms (AWS, GCP) is a good add on.
- Strong analytical and problem-solving skills, with the ability to translate business challenges into technical solutions.
- Experience conducting code reviews and ensuring code quality.
- Excellent communication and presentation skills, with the ability to engage both technical and non-technical stakeholders.
- Experience in project estimation and planning.
Preferred Skills
- Master’s degree in a relevant field, with a specialization in AI or Machine Learning or Computer Science
- Certifications in cloud platforms or AI technologies.
- Experience working in a consulting environment or on client-facing projects.
- Contributions to the Generative AI community or open-source projects.
- Publications or presentations in AI or related fields.
Why Join Us?
- This role offers the opportunity to work on innovative projects at the intersection of AI and technology consulting. You will collaborate with a talented team, deepen your expertise in Generative AI, and contribute to impactful solutions for clients across industries.
- If you are a motivated Full Stack Developer with a passion for AI and a drive to innovate, we encourage you to apply.
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