AI Lead Engineer

Compunnel, Inc.; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading tech firm in New York seeks an experienced AI Lead Engineer to lead the development of Agentic AI solutions. The successful candidate will have a strong background in AI/ML frameworks, collaborate with cross-functional teams, and ensure optimal model performance while adhering to security and ethical standards.

Qualifications

• Proven experience in leading AI/ML solution development and deployment.
• Strong understanding of Agentic AI systems and their applications.
• Experience with model evaluation, testing, and performance tuning.

Responsibilities

• Lead the full lifecycle of Agentic AI solution development.
• Evaluate and select AI/ML models based on project requirements.
• Develop robust testing strategies for model performance.

Skills

AI/ML solution development

Model evaluation

Cloud platforms (AWS, Azure, GCP)

Attention to detail

Problem-solving

Collaboration

Tools

TensorFlow

PyTorch

Job description

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.