Lead AI Engineer

About the Company Join a long-established organization in the insurance and financial services space, known for supporting individuals, families, employers, and businesses through trusted digital products and customer-focused solutions. As a Lead AI Engineer, you will play a key role in leading the development, deployment, and ongoing optimization of advanced AI and Generative AI solutions that improve enterprise operations and customer-focused platforms.
From intelligent automation and AIOps to AWS cloud architecture, secure engineering, and model lifecycle management, this role offers the opportunity to build scalable AI systems that support innovation, reliability, and operational excellence. Whether you are a builder, problem-solver, or technical mentor, this team values engineers who bring ownership, collaboration, technical curiosity, and a passion for reliable, future-ready AI platforms. Job Title Lead AI Engineer Employment Type Full-time hybrid role;

in-office 3 days per week Work Location PA / NJ / NY Salary Range $ - $ Summary Shape the Future of Intelligent Automation!
We are looking for an experienced AI engineering leader with strong AWS, enterprise architecture, Python, AI frameworks, AIOps, security, and platform engineering experience. This role is ideal for someone who can design, build, deploy, and operate scalable AI and Generative AI solutions while mentoring junior engineers and collaborating across software engineering, data science, Dev Ops, and business teams. Lead AI Engineer Primary Skills: Artificial Intelligence, Generative AI, Python, AI Frameworks, AIOps, AWS Services, Enterprise Architecture, System Engineering, Security, Model Development Lifecycle, Scalable AI Systems, Sage Maker, Containerization, Orchestration
Secondary Skills: Agile Methodologies, Coding Standards, Code Reviews, Source Management, Build Processes, Testing, Platform Operations, Performance and Availability Metrics, Technical Design, Dev Ops Collaboration, Remote Team Collaboration, Mentoring, Security Best Practices What You'll Do

• Lead the development, deployment, and ongoing optimization of AI and Generative AI solutions
• Design and implement scalable, reliable systems for AI applications
• Be involved in all stages of the model development lifecycle, from design and development to testing and deployment
• Implement engineering best practices to support platform scalability, reliability, and uptime
• Support the operation of process automation products and solutions across dispersed onshore and offshore teams
• Collaborate with software engineers, data scientists, Dev Ops teams, and stakeholders to design and implement technical solutions
• Track and report on platform performance and availability metrics
• Apply industry-standard security best practices across AI platforms and automation solutions
• Troubleshoot complex software, platform, and system issues using strong problem-solving and analysis skills
• Mentor junior team members and foster a culture of technical excellence
• Stay current with new technologies and industry trends to continuously improve enterprise AI platforms

What We're Looking For

• Bachelor's degree or equivalent in Computer Science, Computer Engineering, Computer Applications, Information Systems, Information Technology, or a related field
• 7+ years of experience working with AWS services, enterprise architecture best practices, system engineering, and security
• 7+ years of development experience or strong knowledge of software engineering best practices across the development lifecycle
• 5+ years of hands-on experience with Python, AI frameworks, and AIOps
• Familiarity with containerization and orchestration technologies, including Sage Maker
• Strong understanding of agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
• Strong software troubleshooting, problem-solving, and system analysis skills
• Ability and willingness to learn new technologies quickly
• Experience working with remote teams in a matrixed environment
• Ability to work independently and as part of a team while supporting enterprise automation and AI objectives
• Commitment to delivering strong customer service and stable, reliable automation platforms

Preferred Skills & Certifications

• AWS, AI/ML, cloud architecture, security, or platform engineering certifications are a plus
• Experience with Generative AI implementation in enterprise environments
• Experience operating AI platforms, automation platforms, or AIOps solutions at scale
• Experience with Sage Maker, containerization, orchestration, and cloud-native AI deployment patterns
• Experience mentoring junior engineers and supporting technical excellence across distributed teams
• Strong understanding of secure AI development and enterprise governance practices

Equal Opportunity Statement Cogent Infotech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where everyone feels welcome and valued. We encourage…