Lead Engineer-AI

Technical Leadership

• Lead the design and development of AI and Generative AI solutions.

• Provide technical guidance and mentorship to engineering teams.

• Participate in architecture reviews and promote engineering best practices.

• Support technical planning and solution design activities.

AI Solution Development

• Develop enterprise AI applications using LLMs, RAG, and Agentic AI frameworks.

• Design scalable AI services and reusable components.

• Evaluate new AI technologies and recommend appropriate solutions.

Cloud & AI Operations

• Deploy AI solutions on Azure, AWS, or GCP platforms.

• Collaborate with data engineering and DevOps teams to implement AI deployment pipelines.

• Support model monitoring, performance optimization, and AI lifecycle management.

Collaboration

• Work with product managers, architects, and business stakeholders to understand requirements and deliver AI solutions.

• Contribute to technical documentation and knowledge sharing.

• Encourage continuous learning and innovation within the team.

Key Responsibilities:

• Responsible for designing experiments, testing hypotheses, and developing models.

• Conducts data analysis and design algorithms.

• Communicates with team to identify business requirements and expected oCarrieromes.

• Works with business analysts to recommend suggestions of products for clients.

• Selects relevant sources of information through the suggestions of subject matter experts.

• Responsible for identifying client analytics problems and developing solutions to achieve results.

• Performs experimental design approaches to validate findings or test hypotheses.

• Responsible for identifying the appropriate algorithms to discover patterns.

• Responsible for making moderate improvements of processes, systems or products to enhance performance of work area.

Minimum Requirements
Requires advanced knowledge obtained through a University degree, combined with experience
Practical to substantial knowledge of Carrier organization, programs or systems with the ability to make enhancements and leverage in daily work
University Degree or equivalent
A minimum of 5 years prior relevant experience
OR
An advanced degree in a related field and a minimum of 3 years experience