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.
INTERNAL VERSION
Nitro: AI Engineer
The selected candidate
- Provides technical leadership in the design, development, and deployment of AI solutions, ensuring alignment with business objectives and industry best practices
- Architects and oversees the design of scalable AI application pipelines, ensuring robust, efficient, and secure integration of AI models into production environments
- Leads cross-functional teams of AI engineers, developers, and product managers, driving project timelines, resource allocation, and delivering impactful AI-driven products and solutions
- Champions innovation by staying ahead of the latest advancements in AI, guiding the strategic direction of AI initiatives, and mentoring team members to elevate the organization's AI engineering capabilities
Your key responsibilities include
- Managing the end-to-end delivery of AI-powered solutions using modern AI frameworks, agentic patterns, and retrieval-augmented generation (RAG) to build production-grade cognitive services
- Designing and implementing production-ready AI architectures including API design, orchestration layers, and integration with enterprise systems
- Ensuring AI solution quality and reliability through evaluation frameworks, guardrails, hallucination mitigation strategies, and observability practices (tracing, logging, monitoring)
- Collaborating with relevant business areas to identify new projects and opportunities, understanding their requirements, setting success criteria and ensuring delivery
- Leading medium sized projects while contributing as a hands-on individual contributor, and training / mentoring junior team members
Skills and attributes for success
- 12+ years of overall experience in software engineering / IT, with hands-on experience in building and deploying AI applications in production environments
- Strong experience in designing and implementing RAG architectures, agentic AI frameworks, and vector database solutions
- Experience with model fine-tuning, prompt engineering, and model evaluation at production scale
- Proficiency in cloud platforms (AWS, Azure, or GCP) for deploying and scaling AI solutions, including serverless architectures and managed AI services
- Strong programming skills in Python with experience in developing and deploying production-grade APIs and web applications
- Experience with containerization (Docker, Kubernetes) and CI/CD pipelines for AI systems
- Experience with version control systems (Git) and modern software development workflows
- Familiarity with Hugging Face ecosystem and open-source AI tooling
- Awareness of Responsible AI principles, AI governance, and emerging AI compliance requirements
- Knowledge of AI security practices including data privacy, model access controls, and secure API design
Nice to have:
- Familiarity with classical ML/NLP fundamentals (supervised/unsupervised learning, statistical modeling)
- Experience with machine learning frameworks (PyTorch, TensorFlow)
- Experience with cost optimization strategies for AI inference at scale
Non-Technical Skills:
- Proven track record of leading and collaborating on strategic initiatives for at least the last 2-3 years
Strong team and business communication skills - - can walk through an approach with technical clients or explain tricky concepts to non-technical people
- Ability to collaborate with people at all levels and with multi-office or regionaln teams
- Must thrive in a fast-paced environment and be able to work independently.
- Strategic consulting experience is a plus
- Excellent communication skills
Education
- Bachelor/Master/PG/Ph.D in Computer Science, Engineering, Artificial Intelligence, Information Technology, or related fields preferred
What we look for
- Strong analytical skills and problem-solving ability
- A self-starter, independent-thinker, curious and creative person with ambition and passion
- Expert in Python programming with experience in developing and deploying production applications
- Excellent inter-personal, communication, collaboration, and presentation skills
- Customer focused
- Excellent time management skills
- Positive and constructive minded
- Takes responsibility for continuous self-learning
- Takes the lead and makes decisions in critical times and tough circumstances
- Attention to detail
- High levels of integrity and honesty
EXTERNAL VERSION
Nitro: AI Engineer
The selected candidate
- Provides technical leadership in the design, development, and deployment of AI solutions, ensuring alignment with business objectives and industry best practices
- Architects and oversees the design of scalable AI application pipelines, ensuring robust, efficient, and secure integration of AI models into production environments
- Leads cross-functional teams of AI engineers, developers, and product managers, driving project timelines, resource allocation, and delivering impactful AI-driven products and solutions
- Champions innovation by staying ahead of the latest advancements in AI, guiding the strategic direction of AI initiatives, and mentoring team members to elevate the organization's AI engineering capabilities
Your key responsibilities include
- Managing the end-to-end delivery of AI-powered solutions using modern AI frameworks, agentic patterns, and retrieval-augmented generation (RAG) to build production-grade cognitive services
- Designing and implementing production-ready AI architectures including API design, orchestration layers, and integration with enterprise systems
- Ensuring AI solution quality and reliability through evaluation frameworks, guardrails, and observability practices
- Collaborating with relevant business areas to identify new projects and opportunities, understanding their requirements, setting success criteria and ensuring delivery
- Leading medium sized projects while contributing as a hands-on individual contributor, and training / mentoring junior team members
Skills and attributes for success
- 12+ years of overall experience in software engineering / IT, with hands-on experience in building and deploying AI applications in production environments
- Strong experience in designing and implementing RAG architectures, agentic AI frameworks, and vector database solutions
- Experience with model fine-tuning, prompt engineering, and model evaluation at production scale
- Proficiency in cloud platforms (AWS, Azure, or GCP) for deploying and scaling AI solutions, including serverless architectures and managed AI services
- Strong programming skills in Python with experience in developing and deploying production-grade APIs and web applications
- Experience with containerization (Docker, Kubernetes) and CI/CD pipelines for AI systems
- Experience with version control systems (Git) and modern software development workflows
- Familiarity with open-source AI tooling and ecosystems
- Awareness of Responsible AI principles and AI governance
- Knowledge of AI security practices including data privacy and secure API design
Nice to have:
- Familiarity with classical ML/NLP fundamentals
- Experience with machine learning frameworks (PyTorch, TensorFlow)
- Experience with cost optimization strategies for AI inference at scale
Non-Technical Skills:
- Proven track record of leading and collaborating on strategic initiatives for at least the last 2-3 years
Strong team and business communication skills - - can walk through an approach with technical clients or explain tricky concepts to non-technical people
- Ability to collaborate with people at all levels and with multi-office or regional teams
- Must thrive in a fast-paced environment and be able to work independently.
- Strategic consulting experience is a plus
- Excellent communication skills
Education
- Bachelor/Master/PG/Ph.D in Computer Science, Engineering, Artificial Intelligence, Information Technology, or related fields preferred
What we look for
- Strong analytical skills and problem-solving ability
- A self-starter, independent-thinker, curious and creative person with ambition and passion
- Expert in Python programming with experience in developing and deploying production applications
- Excellent inter-personal, communication, collaboration, and presentation skills
- Customer focused
- Excellent time management skills
- Positive and constructive minded
- Takes responsibility for continuous self-learning
- Takes the lead and makes decisions in critical times and tough circumstances
- Attention to detail
- High levels of integrity and honesty
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.