AI Lead Engineer

Company : Compunnel Software Group, Inc.

Location : New York, NY, 10055

Posted Date : 18 October 2025

Job Details

Job Summary
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.

Required Qualifications

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 TensorFlow, 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.

Preferred Qualifications

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.

Education: Bachelors Degree