8 часов назад
Lead AI Engineer
131 000 - 165 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead AI Engineer (Generative AI/AWS): Designing, developing, deploying, and supporting scalable AI applications, automation solutions, and digital agents across the organization with an accent on agentic workflows, cloud-native engineering, and responsible AI. Focus on building end-to-end AI solutions with AWS Bedrock, SageMaker, OpenAI technologies, and LangChain while leading technical workstreams and mentoring engineers.
Location: Work from home in the USA. Occasional travel may be required, and work outside normal business hours may be needed to support global operations.
Salary: $131,000–$165,000 annually.
Company
is a financial services company providing insurance, retirement, investment, and employee benefit solutions as part of Aegon.
What you will do
- Design, develop, deploy, and support AI applications, automation solutions, and digital agents.
- Build generative AI and agentic solutions using established frameworks and cloud technologies.
- Apply software engineering practices to deliver scalable, secure, reliable, and responsible AI solutions.
- Support the full AI solution lifecycle, including production operations, monitoring, platform reliability, and continuous improvement.
- Lead small projects or technical workstreams and collaborate with business, architecture, security, and platform teams.
- Mentor less experienced engineers and communicate technical concepts to technical and non-technical audiences.
Requirements
- Bachelor’s degree in computer science, artificial intelligence, data science, or a related field.
- At least eight years of experience in software engineering, AI engineering, or related disciplines.
- At least two years of experience designing, developing, testing, monitoring, and maintaining end-to-end AI solutions.
- Experience designing agentic workflows and delivering AI solutions in cloud environments.
- Experience with AWS Bedrock, AWS SageMaker, OpenAI technologies, AWS Bedrock Agents, and LangChain.
- Proficiency with Kubernetes and Docker; legal authorization to work in the U.S. without immigration sponsorship is required.
Nice to have
- Master’s degree in artificial intelligence, data science, or a related field.
- Experience in insurance or other regulated industries.
- Experience supporting enterprise AI platforms and cloud-native solutions.
- Knowledge of responsible AI, security, privacy, and governance practices.
- Professional or developer certifications in AI and cloud-native technologies.
Culture & Benefits
- Collaborative environment focused on innovation, accountability, inclusion, and continuous improvement.
- Medical, dental, vision, disability, pension, and 401(k) matching benefits.
- Paid time off starting at 160 hours annually, plus ten paid holidays per year.
- Tuition reimbursement, career training, development opportunities, and employee discounts.
- Parental leave, adoption assistance, backup care, wellness support, and employee assistance programs.
- Employee resource groups, inclusion and diversity programs, volunteer PTO, and matching gifts.
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