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AI Lead Engineer
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-06-06
Listing for:
Compunnel, Inc.
Full Time
position Listed on 2026-06-06
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
We are seeking an experienced and innovative AI Lead Engineer to lead the end-to-end development, implementation, and performance evaluation of Agentic AI solutions.
This role is ideal for a hands-on AI expert with a strong background in machine learning, model deployment, and performance testing.
The successful candidate will play a critical role in delivering intelligent systems that align with business objectives and drive innovation in the financial services domain.
Key Responsibilities- Lead the full lifecycle of Agentic AI solution development, from design and implementation to deployment and optimization.
- Evaluate and select appropriate AI/ML models and frameworks based on project requirements.
- Develop and implement robust testing strategies to assess model performance, accuracy, and reliability.
- Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders to ensure successful delivery of AI solutions.
- Monitor and fine-tune deployed models to ensure optimal performance in production environments.
- Ensure AI solutions adhere to security, compliance, and ethical standards.
- Document development processes, model evaluation metrics, and deployment strategies.
- Stay current with advancements in AI/ML technologies and recommend innovative approaches to enhance solution capabilities.
- Proven experience in leading AI/ML solution development and deployment.
- Strong understanding of Agentic AI systems and their practical applications.
- Proficiency in AI/ML frameworks such as Tensor Flow, PyTorch, or similar.
- Experience with model evaluation, testing, and performance tuning.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for AI deployment.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Experience in the banking or financial services industry.
- Knowledge of MLOps practices and tools for model lifecycle management.
- Exposure to ethical AI practices and responsible AI frameworks.
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