Ai engineer

We are looking for an innovative and experienced AI Engineer to join our Global Customer AI Solutions team. Reporting to the Senior Director, you will play a critical role in designing, developing, and deploying AI solutions that propel innovation and optimize our global operations. You will collaborate with cross‑functional teams to build robust, scalable AI systems, ensuring successful integration and delivery across multiple business segments.

• AI Solution Implementation:
  Leverage and integrate advanced AI models, such as large language models (LLMs), to solve complex business problems and enhance operational efficiency.
• Seamless Integration:
  Partner with data scientists, engineers, and business stakeholders to gather requirements and integrate AI solutions smoothly with existing systems.
• Scalable Infrastructure:
  Develop and maintain scalable AI platforms and infrastructure to facilitate the deployment and management of AI models in production.
• Data Pipeline Management:
  Work with data engineers to establish high-quality data pipelines that ensure efficient data processing for AI applications.
• Model Optimization:
  Regularly assess and enhance AI models and systems for optimal performance, accuracy, and reliability.
• Responsible AI Practices:
  Advocate for and apply responsible AI practices and rigorous testing methodologies.
• Continuous Innovation:
  Keep up with the latest AI technologies and research, incorporating new methodologies to enhance our solutions.
• Efficient Human Feedback Loops:
  Implement efficient human feedback loops to refine and improve AI actioning solutions.

• Professional
  
  Experience:
  
  At least 4 years of experience in AI engineering with a proven track record of successfully building and deploying AI solutions.
• Technical Proficiency:
  Expertise in AI frameworks and libraries such as Lang Chain, Lang Graph, or OpenAI SDK, and programming languages like Python, Java, or R.
• Prompt Engineering:
  Strong skills in prompt engineering and indexing/retrieval techniques.
• Educational Background:
  Bachelor’s degree in computer science, Engineering, or a related field; equivalent technical experience is also considered.

• Distributed Systems:
  Experience with distributed computing frameworks and cloud platforms like AWS, Azure, or Google Cloud.
• Machine Learning Expertise:
  Strong knowledge of machine learning algorithms and experience in applying pre-built models.
• Data Engineering
  
  Skills:
  
  Solid understanding of data engineering principles, including data pipelines and ETL processes.
• Problem‑Solving Ability:
  Exceptional problem‑solving skills with the capacity to tackle complex technical challenges.
• Effective Communication:
  Excellent communication skills to effectively collaborate with cross‑functional teams and convey technical concepts to non‑technical stakeholders.

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well‑being and inclusion are more than just words.
• As part of our global team, we’ll support you in shaping the future you want to see.

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Chez Manulife/John Hancock nous valorisons notre diversité. Nous nous efforçons d’attirer, de perfectionner et de maintenir une main d’oeuvre qui est aussi diversifiée que nos clients, et de favoriser la création d’un milieu de travail inclusif qui met à profit la diversité de nos employés et les compétences de chacun. Nous nous engageons à assurer un recrutement, une fidélisation, une promotion et une rémunération équitables, et nous administrons toutes nos pratiques et tous nos programmes sans discrimination en raison de la race, de l’ascendance, du lieu d’origine, de la couleur, de l’origine ethnique, de la citoyenneté, de la religion ou des croyances ou des convictions…