Lead AI Engineer

• Application Deadline: Jan. 31 2026
• Multiple locations
• Hybrid
• Yearly salary: $170000

Job Description

Job Description add details here

Software Guidance & Assistance Inc. (SGA) is searching for an Lead AI Engineer for a direct placement assignment with one of our premier Insurance clients in NYC NY Holmdel NJ or Bethlehem PA.

Are you ready to shape the future of intelligent automation

Were seeking a visionary AI Engineer to join our high-performing this pivotal role youll lead the development deployment and ongoing optimization of cutting-edge AI and Generative AI solutions that drive innovation and operational excellence across the enterprise.

You are:

• A self-starter who can work independently and as part of a team to implement and operate new technologies that help the firm advance its Automation & Artificial Intelligence objectives.
• Driven by a desire to deliver outstanding customer service and a rock-solid stable automation platform you will be successful through successful operation of our automation platforms.

Responsibilities :

• Be part of a dispersed team both offshore and onshore for operation of process automation products & solutions
• Implement engineering best practices to ensure scalability and uptime
• Have an understanding of the Industry standard security best practices
• Track and report on platforms performance and availability metrics
• Be involved in all stages of the model development lifecycle from design to development testing and deployment.
• Design and implement scalable and reliable systems to AI applications
• Collaborate with software engineers data scientists and DevOps teams to design and implement technical designs and solutions
• Stay up-to-date with new technologies and industry trends and continuously improve the platform to meet the changing needs of the company

Required Skills:

• Bachelors degree or equivalent in Computer Science Computer Engineering Computer Applications Information Systems or Information Technology
• 7 years of experience in working with AWS Services Enterprise Architecture best practices system engineering and security.
• 7 years of development experience or significant knowledge of software engineering best practices across the development lifecycle including agile methodologies coding standards code reviews source management build processes testing and operation
• 5 years of hands-on experience with Python AI Frameworks AIOps
• Familiarity with Containerization and Orchestration technologies Sagemaker
• Strong software troubleshooting problem solving and system analysis skills
• Willingness and capability to learn new technologies quickly
• Experience working with remote teams in a matrixed environment
• Mentor junior team members and foster a culture of technical excellence