Lead AI Engineer
About The Position
Design, develop, deploy, and support artificial intelligence solutions that improve products, services, and business processes across the organization. The role uses advanced AI engineering, cloud-native development, and software engineering practices to deliver scalable, secure, and responsible AI applications and platforms. It includes work across the full AI solution lifecycle, from design through production support, and contributes to the operation and continual improvement of enterprise AI platforms and services. The engineer leads small projects or technical workstreams, mentors less experienced engineers, and collaborates with business, architecture, security, and platform teams.
Requirements
- Bachelor’s degree in computer science, artificial intelligence, data science, or a related field.
- Eight years of experience in software engineering, AI engineering, or related disciplines.
- Two years of experience in end-to-end AI solution design, development, testing, monitoring, and maintenance.
- Experience designing and developing agentic workflows.
- Experience delivering AI solutions in cloud environments.
- Experience with Amazon Web Services (AWS) Bedrock and AWS SageMaker.
- Experience with OpenAI technologies, AWS Bedrock Agents, and LangChain.
- Proficiency in Kubernetes and Docker containerization technologies.
Nice To Haves
- Master’s degree in artificial intelligence, data science, or a related field.
- Experience working in the insurance industry or other regulated industries.
- Experience supporting enterprise AI platforms and cloud-native solutions.
- Experience applying responsible AI, security, privacy, and governance practices.
- Professional certifications in artificial intelligence technologies.
- Professional certifications in cloud-native technologies.
- Developer-level certifications in relevant technologies.
Responsibilities
- Design, develop, deploy, and support AI applications, automation solutions, and digital agents.
- Deliver generative AI and agentic solutions using established frameworks and cloud technologies.
- Apply software engineering best practices to deliver scalable, secure, and reliable AI solutions.
- Support the full AI solution lifecycle from design through production support.
- Contribute to the enhancement, operation, and continuous improvement of enterprise AI platforms and services.
- Improve AI products, engineering processes, and technical standards through the application of best practices.
- Support platform reliability, monitoring, and continuous improvement initiatives.
- Lead small projects or technical workstreams and help ensure successful delivery.
- Mentor and support less experienced engineers through coaching and knowledge sharing.
- Collaborate with business, architecture, security, and platform teams to deliver AI solutions and communicate technical concepts to technical and non-technical audiences.
Benefits
- Competitive pay
- Bonus for eligible employees
- Benefits package
- Pension plan
- 401k match
- Employee stock purchase plan
- Tuition reimbursement
- Disability insurance
- Medical insurance
- Dental insurance
- Vision insurance
- Employee discounts
- Career training and development opportunities
- Paid time off starting at 160 hours annually for employees in their first year of service
- Ten paid holidays per year
- Be Well Company holistic wellness program, including Wellness Coaching and Reward Dollars
- Paid parental leave for eligible employees
- Adoption assistance
- Employee Assistance Program
- Back-Up Care Program
- PTO for volunteer hours
- Employee Matching Gifts Program
- Employee Resource Groups
- Inclusion and Diversity Programs
- Employee Recognition Program
- Referral Bonus Programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
