AI Systems Engineer

Seeking a Systems Engineer / Platform Engineer to support its global AI initiatives. The role focuses on platform engineering, automation, and operational support for AI-driven platforms.

The engineer will work closely with the Data and AI organization to build and maintain scalable infrastructure that supports AI/ML workloads and automation across the platform.

Key Responsibilities:

* Provide platform engineering and operational support for Manulife’s global AI platforms.

* Design and build automation solutions to improve platform engineering processes and infrastructure efficiency.

* Support and maintain cloud-based AI infrastructure on Azure.

* Work with AI teams to integrate AI models and services into enterprise platforms.

* Manage and support AI/ML operational workflows (MLOps) including deployment, monitoring, and optimization of AI models.

* Collaborate with cross-functional teams to enhance platform reliability, scalability, and automation.

* Support development and deployment pipelines using DevOps tools such as GitHub, CI/CD, and Jenkins.

* Contribute to code reviews and technical validation, particularly in Python and Java environments.

* Work with platform frameworks such as Akka to support scalable distributed systems.

* Assist with troubleshooting platform issues and ensure high availability of services supporting AI initiatives.

Required Qualifications:

* 5–7 years of overall IT experience.

* 2–4 years of experience working with AI/ML technologies or AI-enabled platforms.

* Strong experience with Azure Cloud Infrastructure.

* Hands-on experience with any AI integration technologies such as: SLM (Small Language Models), LLM (Large Language Models), A2A (Agent-to-Agent frameworks), MCP (Model Context Protocol or similar AI orchestration frameworks)

* Experience with AI/ML Ops (MLOps) practices.

* Strong DevOps skills, including experience with: GitHub, CI/CD pipelines, Jenkins

* Programming experience with Python (for platform infrastructure and automation).

* Familiarity with Java (mainly for code review and platform support).

* Bachelor’s degree in Computer Science, Engineering, or a related technical field.

* Strong technical skills, communication abilities, and a flexible working attitude.

Preferred / Nice-to-Have Skills:

* Hands-on experience with Terraform for infrastructure as code.

* Experience working within Data and AI organizations or AI-driven platforms.

* Strong communication and collaboration skills in cross-functional environments.

About Us:

Collabera is a leading Digital Solutions company providing software engineering solutions to the world’s most tech-forward organizations. With more than 25 years of experience, we have hired over 17000 employees across 60+ offices globally and currently place 10000+ professionals annually to support critical IT engagements at more than 500 client sites, 80% being the Fortune 500.

With Collabera, you

• Will get to work on numerous challenging and exciting projects, including UI/UX transformation, Blockchain, AI/Data Science, Cloud migrations, Cyber-Security and Engineering.

• At Collabera you have 80% chances of project extension or redeployment to other clients

• Will have endless opportunities to learn new technologies through our inhouse Training arm – Cognixia.

The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location.

For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.

AI Disclosure:

We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.