
Client Technology Software Engineering Assurance Sr. Engineer/Arch - EY GDS
Ernst and Young8 days ago
Buenos Aires, ArgentinaSenior
Responsibilities
- Lead delivery of solution or infrastructure development services for large or complex projects.
- Design, develop, deliver, and maintain software or infrastructure solutions while driving compliance with technical standards.
- Perform coding, debugging, testing, and troubleshooting for complex and escalated project work.
- Provide advanced technical expertise, identify continuous improvements, and maximize the efficiency and reliability of existing and emerging technologies.
- Collaborate with Development & Engineering and Architecture teams to develop and engineer solutions.
- Provide technical leadership for the work group and establish appropriate project expectations, structures, tools, and responsibilities.
- Define, maintain, and implement technology standards, processes, procedures, and technical designs.
- Fine-tune language models, apply embedding models to NLP tasks, design agentic systems, and develop evaluation frameworks for AI models and agents.
Requirements
- Advanced technical proficiency in designing, developing, and debugging solutions.
- Advanced knowledge of one or more of C#, Java, or Python.
- Bachelor’s degree in computer science, engineering, information technology, mathematics, or a related field preferred.
- More than 10 years of applied experience and significant relevant experience in software or platform engineering.
- Experience delivering software or platform engineering solutions, providing technical advice, and handling user requirements.
- Experience with CI/CD delivery using code management, configuration management, and automation tools such as GitHub and ADO.
- Proficiency in fine-tuning language models for tasks such as text generation, summarization, or question answering.
- Knowledge of embedding models and their use in similarity matching, clustering, and information retrieval.
- Familiarity with designing and implementing agentic systems that combine AI models with external tools or environments.
- Ability to design evaluation frameworks for AI models and agents, including metrics, A/B testing, and performance benchmarking.
- Microsoft, Google, or AWS certifications are desirable.
- Experience with modern delivery methodologies and application development using Kubernetes and Docker.
- Self-starting, independent, curious, creative, ambitious, and passionate approach.
Benefits
- Flexible work environment with future-focused skills development and world-class experiences.
- Supportive, diverse, inclusive culture with globally connected teams.
- EY provides accommodations and adjustments during recruitment for candidates with disabilities.
- The role is part of a globally connected organization serving clients across more than 150 countries and territories.