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: $110,000.00 - $180,000.00


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, DevOps, and business teams.
Applicants must have authorization to work in the United States that permits full-time employment for the duration of the position without requiring current or future employer sponsorship.


Primary Skills: Artificial Intelligence, Generative AI, Python, AI Frameworks, AIOps, AWS Services, Enterprise Architecture, System Engineering, Security, Model Development Lifecycle, Scalable AI Systems, SageMaker, Containerization, Orchestration
Secondary Skills: Agile Methodologies, Coding Standards, Code Reviews, Source Management, Build Processes, Testing, Platform Operations, Performance and Availability Metrics, Technical Design, DevOps 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, DevOps 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 SageMaker
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 SageMaker, 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 applications from individuals of all backgrounds, identities, abilities, and experiences. If you are excited about this role but do not meet every requirement, we still encourage you to apply.


Join Us
At Cogent Infotech, your ideas matter. Join a purpose-driven organization that celebrates diversity, encourages collaboration, and invests in your future.