AI Engineer

About the job

The GenAI Engineer / Developer is responsible for designing building and deploying enterprisegrade Generative AI applications that accelerate digital transformation across the business. This role focuses on handson engineering of LLMpowered systems including copilots RAG solutions agentic workflows and AIdriven automations tailored to local business needs.

The position plays a critical role in translating business problems into scalable secure and productionready GenAI solutions. Working closely with crossfunctional stakeholdersSales HR Operations Finance and ITthe GenAI Engineer rapidly prototypes iterates and operationalizes AI solutions that deliver measurable business impact.

A key accountability of the role is ensuring quality safety performance and trust of GenAI systems through robust prompt design grounding strategies guardrails evaluation frameworks and LLMOps practices. The role also contributes to building sustainable internal AI capability by developing reusable components reference architecture documentation and best practices.

This position is critical for enabling parallel GenAI workstreams reducing delivery bottlenecks and establishing longterm inhouse expertise to support enterprisewide GenAI scaling.

Position Responsibilities:

• Design build and deploy endtoend Generative AI applications including LLMbased copilots chatbots RAG pipelines multiagent systems and multimodal workflows.

• Develop and optimize retrievalaugmented generation (RAG) solutions using vector databases embeddings metadata filtering and grounding techniques to ensure accurate and contextaware outputs.

• Implement prompt engineering tool/function calling and agent orchestration to enable reliable task execution and workflow automation.

• Integrate GenAI solutions with enterprise systems and data sources via APIs eventdriven architectures and secure connectors.

• Collaborate with product owners and business stakeholders to translate requirements into technical architectures and implementation plans.

• Establish and follow best practices for LLMOps including deployment pipelines monitoring logging evaluation cost optimization and performance tuning.

• Implement AI safety governance and guardrails including content filtering grounding validation access control and compliance requirements.

• Continuously evaluate emerging GenAI models frameworks and tooling to improve solution quality latency and cost efficiency.

• Contribute to internal capability building by creating reusable libraries templates documentation and reference implementations.

Required Qualifications

• 35 years of experience in software engineering AI engineering ML engineering or related fields.

• At least 1 year of handson Generative AI development experience building and deploying LLMbased applications.

• Strong proficiency in Python and experience developing APIs and backend services.

• Practical experience with LLMs embeddings vector databases and RAG architecture.

• Familiarity with GenAI frameworks such as LangChain Semantic Kernel LlamaIndex or similar.

• Experience working with cloud AI platforms (Azure Databricks NVIDIA or equivalent).

• Bachelors degree in computer science Computer Engineering Information Technology Artificial Intelligence or related disciplines.

Relevant Certifications (at least one preferred):

• Databricks Certified Generative Engineering Associate

• Databricks Certified ML Associate / Professional

• Microsoft Generative AI Engineering Professional Certificate

• Microsoft Certified: Azure AI Engineer Associate

• NVIDIA Generative AI / LLMs Certified Associate

• IBM Generative AI Engineering Professional Certificate

Preferred Qualifications

• Masters degree or PhD in Computer Science AI Electrical Engineering Physics or related fields.

• 4 years of experience in AI ML or software engineering roles.

• Proven experience delivering productiongrade GenAI solutions in enterprise environments.

• Experience with LLMOps MLOps CI/CD and cloudnative architectures.

• Databricks Certified Generative Engineering Associate or Microsoft Generative AI Engineering Professional Certificate.

When you join our team:

• Well empower you to learn and grow the career you want.

• Well recognize and support you in a flexible environment where well-being and inclusion are more than just words.

• As part of our global team well support you in shaping the future you want to see.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider helping people make their decisions easier and lives better. To learn more about us visit is an Equal Opportunity Employer

At Manulife/John Hancock we embrace our diversity. We strive to attract develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment retention advancement and compensation and we administer all of our practices and programs without discrimination on the basis of race ancestry place of origin colour ethnic origin citizenship religion or religious beliefs creed sex (including pregnancy and pregnancy-related conditions) sexual orientation genetic characteristics veteran status gender identity gender expression age marital status family status disability or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process contact .