AVP leading AI transformation, including fraud detection, for Manulife, a global financial services provider. Driving secure, governed Classical, Generative, and Agentic AI solutions across Corporate Functions.
About the role
- Engineer developing AI-powered cloud-native software solutions for clients at Softchoice. Focusing on cloud, data, and innovative software development.
Responsibilities
- Delivering excellence: Developing, testing and managing cloud native and 3rd party tooling and AI-on-cloud technologies, delivered through code, templates and scripts to ensure top-quality client experiences, delivered with consistency and efficiency.
- Design and architect world-class technical solutions leveraging state-of-the-art cloud technologies and development tools
- Set and uphold high standards for technical architectures and systems design, and operational excellence
- Create innovative solutions utilizing AI and LLM technologies to solve complex business problems
- Develop reusable solution components and comprehensive documentation
- Working with software developers, application architects, QA engineers, and operations teams to deliver on – and exceed – client expectations.
- Team up with SME’s, practice leads and vendors to fine tune our strategy and overcome obstacles to adoption at every step.
- Working onsite with customers as a consultant to explore their needs to provide a compelling vision forward.
- Engage with sales and pre-sales teams to support the prospecting of opportunities with existing and new customers to Softchoice.
Requirements
- 1+ years of experience in a technical capacity
- Good understanding and experience with Agile methodologies applied to AI and Software Engineering
- Proficient in Python and frameworks such as Flask, langchain, llamaindex, and FastAPI
- Experience with Azure OpenAI Service and working with open-source LLMs
- Experience building Gen AI applications
- Develop and integrate RESTful APIs, focusing on Azure API management
- Knowledge of containerization/orchestration (Docker, Kubernetes) in Azure
- Experience with Microsoft PromptFlow or RAGs evaluation matrix
- Expertise in writing and tuning prompts for LLMs
- Work with search solutions (Azure AI search)
- Experience with CI/CD solutions
- Experience with CI/CD pipelines (Azure DevOps, Jenkins, CircleCI, GitLab Actions)
- Basic certification in AI (AI900) or ML (GCP ML Engineer, AWS ML Engineer)
- Cloud certification (AWS, Azure, Google)
- Ability to grasp high-level technical concepts quickly.
Benefits
- Medical and Dental Care
- Employee & Family Assistance Program
- RRSP/DPSP Retirement Savings Plan with Company Matching
- Life and Disability Insurance
- Vacation and Sick Leave
- Holidays
- Parental Leave
- Volunteer Days
- Bereavement Leave
- Employee Discount Program
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