Client Technology - Engineering AI Lead Engineer
Ernst and Young2 months ago
Pune, IndiaStaff+
Responsibilities
- Lead the development and optimization of sophisticated machine learning models.
- Architect and implement scalable AI systems integrating multiple data sources.
- Design, develop, and deploy LLM-powered AI agents and integrate them into enterprise applications and workflows.
- Lead prompt engineering strategies and improve LLM agent performance.
- Establish practices for evaluating, monitoring, and improving LLM agent outputs.
- Manage Docker environments, CI/CD pipelines, and NoSQL databases.
- Design experiments using advanced scientific methods and rigorously validate results.
- Mentor and guide entry- to mid-level engineers.
- Collaborate with cross-functional and globally distributed teams to integrate AI solutions into business processes.
- Apply testing strategies including A/B testing, unit testing, and integration testing.
Requirements
- Strong leadership skills and a track record of mentoring junior engineers.
- In-depth knowledge of cloud-based solutions for AI deployment and scaling.
- Demonstrated experience building and deploying LLM-powered AI agents in production.
- Deep understanding of prompt engineering, LLM fine-tuning, and responsible AI practices.
- Published research or contributions to open-source machine learning projects.
- Experience setting up and managing Docker images, NoSQL databases, and CI/CD systems.
- Expertise in Retrieval Augmented Generation techniques and AI agent platforms.
- Strong proficiency in Python and deep understanding of ML frameworks such as TensorFlow and PyTorch.
- Extensive experience designing and implementing complex machine learning models and combining them with agentic AI frameworks.
- Experience with AI pair-programming tools such as GitHub Copilot and Cursor.
- Experience architecting solutions that combine LLMs with agentic frameworks and orchestration tools.
- Familiarity with collaborative coding environments and advanced API integration for LLM agents.
- Familiarity with statistics, classical statistical models, optimization techniques, and AI/ML risk management concepts.
- A master's or Ph.D. in Computer Science, Engineering, Data Science, Mathematics, or a related field is preferred.
- Ability to work with culturally diverse outsourced and onshore/offshore team members, potentially outside normal working hours; some travel may be required.
Benefits
- Flexible work environment.
- Professional development through future-focused skills and world-class experiences.
- Diverse and inclusive culture with globally connected teams.
- Work with multidisciplinary teams serving clients across more than 150 countries and territories.
Categories
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.