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Senior GenAI Engineer

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Manulife

2mo ago

Applications are closed

  • Job
    Full-time
    Senior Level
  • Software Engineering
  • $92.2K - $171.2K
  • Toronto

Requirements

  • Graduate degree in Computer Science, Engineering, or a related field.
  • Experience in implementing and productionizing ML projects end-to-end including MLOps and Model Marketplaces.
  • Experience with leading GenAI/ ML Solution Pods for production ready AI applications.
  • Experience with scaled up release management for AI applications.
  • Experience with building microservice based architecture for GenAI solutions.
  • Experience in working with large-scale data sources in complex environments, and implementing scalable and efficient data processing pipelines.
  • Expert knowledge in cloud platforms, especially Azure, in the context of GenAI solution development and deployment, and common tools in data science.
  • Solid understanding of generative AI models and algorithms, and their applications in solving complex business problems.
  • Strong communication and leadership skills, with the ability to effectively collaborate with multi-functional teams and partners.
  • Highly motivated and result driven.
  • Comfortable in handling changes and delivering results in complex situations.
  • What motivates you?
  • You obsess about customers, listen, engage and act for their benefit.
  • You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
  • You thrive in teams and enjoy getting things done together.
  • You take ownership and build solutions, focusing on what matters.
  • You do what is right, work with integrity and speak up.
  • You share your humanity, helping us build a diverse and inclusive work environment for everyone.

Responsibilities

  • Work in collaboration with Data Scientists, to develop and implement generative AI solutions to solve complex business problems and deliver business value.
  • Collaborate with architects and platform engineers in building a high-performance environment where data scientists and engineers develop GenAI solutions in a timely manner and deploy them efficiently.
  • Serve as a key member of the solution design group to clearly define technical solutions, project requirements, deliverables and project timelines.
  • Provide technical guidance, mentorship, and problem-solving support to project teams to ensure successful execution of projects.
  • Stay up-to-date with the latest advancements in AI technologies and methodologies, and evaluate their potential applications to improve our AI engineering processes.
  • Drive the adoption of ML Ops practices within the GenAI engineering team, ensuring efficient and reliable deployment of GenAI solutions.
  • Foster a culture of innovation, collaboration, and continuous learning within the GenAI engineering team.

FAQs

What is the primary responsibility of a Senior GenAI Engineer?

The primary responsibility of a Senior GenAI Engineer is to develop innovative Generative AI solutions by collaborating with data science and IT teams, ensuring sound architecture, effective MLOps/LLMOps processes, and comprehensive controls.

What types of teams will a Senior GenAI Engineer collaborate with?

A Senior GenAI Engineer will collaborate with data scientists, data engineers, data architects, platform engineers, and business leaders to build Generative AI solutions.

What qualifications are required for this position?

A graduate degree in Computer Science, Engineering, or a related field is required, along with experience in implementing and productionizing ML projects, leading GenAI/ML solution pods, and knowledge of cloud platforms, particularly Azure.

What skills are crucial for a Senior GenAI Engineer?

Crucial skills for this role include expert knowledge in generative AI models and algorithms, strong communication and leadership abilities, experience with microservice-based architecture, and familiarity with large-scale data processing pipelines.

How does this role contribute to business outcomes?

This role contributes to business outcomes by developing and implementing generative AI solutions that solve complex business problems, delivering business value through collaboration with various teams.

What does the company offer in terms of career growth?

The company offers a competitive salary and benefits, a growth trajectory that encourages following passions and learning new skills, and a focus on building a career path within the organization.

What is the company’s commitment to diversity and inclusion?

The company is committed to fostering an inclusive workplace where everyone thrives, focusing on delivering the promises of Diversity, Equity, and Inclusion within its culture.

What is expected in terms of driving ML Ops practices?

The Senior GenAI Engineer is expected to drive the adoption of ML Ops practices within the GenAI engineering team, ensuring the efficient and reliable deployment of Generative AI solutions.

What type of work environment does the company promote?

The company promotes a values-first culture, continuous innovation, and a strong emphasis on work-life balance and flexible work policies.

What motivates a successful candidate in this role?

A successful candidate is motivated by a strong focus on customer needs, curiosity in discovering innovative solutions, teamwork, ownership of outcomes, integrity in work, and a commitment to fostering diversity and inclusion in the workplace.

Manulife

Finance
Industry
10,001+
Employees

Mission & Purpose

Manulife is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We have more than 40,000 employees, over 116,000 agents serving ~34 million customers worldwide, and over $1.3 trillion in assets under management and administration.