Lead AI Engineer
About the role
- About Our Client:
The organization operates within the financial services industry, providing insurance, retirement, and investment solutions to millions of customers. It is part of a large international holding company serving approximately 23.9 million customers worldwide. The company addresses the challenge of helping individuals plan and secure their financial futures by offering a range of products supported by a vast agent network and dedicated nonprofit research and foundation arms. Employing nearly 7,000 people, the organization supports multiple business lines including financial advisors, protection solutions, savings and investments, and legacy financial assets.
- About the Opportunity:
The Lead AI Engineer role is focused on designing, developing, deploying, and supporting artificial intelligence solutions that enhance products, services, and business processes across the organization. This position contributes to delivering scalable, secure, and responsible AI applications using cloud-native and software engineering best practices. The role supports the lifecycle of AI solutions and plays a key part in improving enterprise AI platforms and processes.
- 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 ensure scalable, secure, and reliable AI solutions
Support full AI solution lifecycle from design through production support
Enhance, operate, and continuously improve enterprise AI platforms and services
Improve AI products, engineering processes, and technical standards using best practices
Support platform reliability, monitoring, and continuous improvement initiatives
Lead small projects or technical workstreams to 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 effectively
- Requirements:
Bachelor’s degree in computer science, artificial intelligence, data science, or 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 AWS Bedrock and AWS SageMaker
Experience with OpenAI technologies, AWS Bedrock Agents, and LangChain
Proficiency in Kubernetes and Docker containerization technologies
Preferred Qualifications:
Master’s degree in artificial intelligence, data science, or related field
Experience in the insurance or regulated industries
Experience supporting enterprise AI platforms and cloud-native solutions
Knowledge of responsible AI, security, privacy, and governance practices
Professional certifications in AI and cloud-native technologies
- Pay Range and Compensation Package:
The salary range for this position generally falls between $131,000 and $165,000 annually, with the actual starting pay determined by qualifications, experience, geography, work location, and operational needs.
Equal Opportunity Statement:
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.
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 ensure scalable, secure, and reliable AI solutions
- Support full AI solution lifecycle from design through production support
- Enhance, operate, and continuously improve enterprise AI platforms and services
- Improve AI products, engineering processes, and technical standards using best practices
- Support platform reliability, monitoring, and continuous improvement initiatives
- Lead small projects or technical workstreams to ensure successful delivery
Qualifications
- Bachelor’s degree in computer science, artificial intelligence, data science, or 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 AWS Bedrock and AWS SageMaker
- Experience with OpenAI technologies, AWS Bedrock Agents, and LangChain
- Proficiency in Kubernetes and Docker containerization technologies
Skills mentioned
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