Lead Engineer-AI
Quick Summary
Responsible for designing experiments, testing hypotheses, and developing models. Conducts data analysis and design algorithms.
Responsible for designing experiments, testing hypotheses, and developing models. Conducts data analysis and design algorithms.
About the Role
~1 min readLead 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.
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.
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.
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.
Responsibilities
~1 min readClick on this link to read the Job Applicant's Privacy Notice
Location & Eligibility
About this job
- Posted
- Today
Listing Details
- Posted
- October 28, 2026
- First seen
- October 28, 2026
- Last seen
- October 28, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 56%
- Scored at
- October 28, 2026
Signal breakdown
Similar Machine Learning Engineer jobs
View all →Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.