AI Engineer

First West • Township of Langley, BC

72d

About The Position

We are currently seeking a AI Engineer
to join our team.

The AI Engineer is responsible for designing, building, and delivering
high‑quality AI technology solutions, including agentic AI applications,
retrieval‑based intelligence, automation components, and secure system
integrations. This role blends software engineering with modern AI development
approaches to create reliable, safe, and scalable capabilities that improve user
experience, operational efficiency, and decision‑making across the organization.

Here’s what would be included as a part of your typical day

1. AI Technology Design & Development: Design and implement AI technology
solutions, including agent behaviors, retrieval‑augmented intelligence, and
integration of models into applications and workflows. Build secure and
reliable components, and integrations to support AI‑driven interactions and
decisioning. Apply strong software engineering practices, including testing,
performance optimization, telemetry, and documentation
2. AI Application Implementation: Translate business requirements into
functional AI components, ensuring clarity, feasibility, and alignment to
enterprise technical standards. Develop and refine prompts, reasoning logic,
and decisioning flows within agentic applications. Troubleshoot issues in AI
behavior, grounding, retrieval, and integration layers.
3. Data Access & Retrieval Engineering: Implement secure data access strategies
across structured and unstructured sources. Build and maintain retrieval
pipelines (e.g., search/query components, embedding‑based retrieval,
document ingestion pipelines). Ensure data usage aligns with privacy,
security, and compliance requirements. 
4. Security, Quality & Compliance: Ensure all AI components adhere to identity
and access controls, data security requirements, auditability, and content
safety guidelines. Maintain awareness of regulatory expectations (including
OSFI and FCAC) as they relate to AI‑enabled solutions. Conduct code reviews,
implement automated testing, and validate AI outputs for accuracy and
safety.
5. Team Support and Collaboration: Work closely with internal IT groups,
including Cyber Security, Data, Cloud Infrastructure, Architecture, Software
Development, and IT Operations to ensure successful, secure, and scalable
operationalization of AI technology solutions. Partner with business
stakeholders, product teams, and subject-matter experts to ensure AI
solutions are aligned with desired business outcomes and deliver measurable
value.
6. Research & Continuous Improvement: Stay current with advancements in AI
engineering patterns, tooling, and development practices. Recommend
improvements to frameworks, automation, and engineering processes to enhance
solution reliability and scalability. Participate in internal
knowledge‑sharing and technical learning activities.

Requirements

• Bachelor’s degree in computer science, Engineering, or related field.
• 5 years of experience in software engineering, AI engineering, or related technical roles.
• Hands‑on experience building production-grade AI components, agent‑based workflows, intelligent automation, or retrieval‑based systems.
• Familiarity with enterprise AI platforms and modern cloud architectures (experience with the Microsoft ecosystem is an asset).
• Experience working within regulated environments is preferred
• Strong problem‑solving skills and the ability to understand complex systems.
• Excellent communication and collaboration skills
• Able to work effectively with both technical and business teams.
• Ability to balance independent execution with teamwork and cross‑functional coordination.
• Strong attention to detail and focus on quality, security, and long‑term maintainability
• Strong communication and interpersonal skills.
• Experience with interpreting and authoring software architecture documents.
• High-energy, “can-do” attitude with strong relationship-building skills.
• Strong foundation in software engineering, APIs, distributed systems, and secure integrations.
• Proficiency with modern AI development practices (agentic workflows, reasoning design, retrieval‑augmented intelligence).
• Solid understanding of cloud architectures, identity/security fundamentals, and observability.
• Ability to rapidly learn new tools and frameworks in the fast‑moving AI ecosystem.
• Displays an understanding of risk and risk ownership by being able to demonstrate adherence to policies and procedures.

Nice To Haves

• Familiarity with enterprise AI platforms and modern cloud architectures (experience with the Microsoft ecosystem is an asset).
• Experience working within regulated environments is preferred

Responsibilities

• AI Technology Design & Development: Design and implement AI technology solutions, including agent behaviors, retrieval‑augmented intelligence, and integration of models into applications and workflows. Build secure and reliable components, and integrations to support AI‑driven interactions and decisioning. Apply strong software engineering practices, including testing, performance optimization, telemetry, and documentation
• AI Application Implementation: Translate business requirements into functional AI components, ensuring clarity, feasibility, and alignment to enterprise technical standards. Develop and refine prompts, reasoning logic, and decisioning flows within agentic applications. Troubleshoot issues in AI behavior, grounding, retrieval, and integration layers.
• Data Access & Retrieval Engineering: Implement secure data access strategies across structured and unstructured sources. Build and maintain retrieval pipelines (e.g., search/query components, embedding‑based retrieval, document ingestion pipelines). Ensure data usage aligns with privacy, security, and compliance requirements. 
• Security, Quality & Compliance: Ensure all AI components adhere to identity and access controls, data security requirements, auditability, and content safety guidelines. Maintain awareness of regulatory expectations (including OSFI and FCAC) as they relate to AI‑enabled solutions. Conduct code reviews, implement automated testing, and validate AI outputs for accuracy and safety.
• Team Support and Collaboration: Work closely with internal IT groups, including Cyber Security, Data, Cloud Infrastructure, Architecture, Software Development, and IT Operations to ensure successful, secure, and scalable operationalization of AI technology solutions. Partner with business stakeholders, product teams, and subject-matter experts to ensure AI solutions are aligned with desired business outcomes and deliver measurable value.
• Research & Continuous Improvement: Stay current with advancements in AI engineering patterns, tooling, and development practices. Recommend improvements to frameworks, automation, and engineering processes to enhance solution reliability and scalability. Participate in internal knowledge‑sharing and technical learning activities.

Benefits

• Mental health coverage and resources
• Customizable health benefits, as well as topped-up parental leave
• Performance-based compensation, employee banking advantages and group RRSP matching
• Vacation time and flexible work arrangements to support your lifestyle
• We are committed to providing a fair, equitable, and competitive rewards package that reflects the value an individual brings to our organization. The compensation mentioned in this job posting should serve as a guide. The total cash compensation earned may vary based on a variety of factors including bonuses and/or incentives, an individual’s skills and experience, and may correlate with performance in the role.
• We also provide and encourage opportunities for our employees to make a meaningful impact. After all, as a credit union we’re powered by giving back—in big ways and through small gestures. That's why we offer employees paid time off to volunteer, partner with thousands of local charities, build long-lasting relationships that help our members get ahead and commit to environmental, social and governance (ESG) practices.
• By joining our team, you’ll be able to elevate your potential. Wherever your own purpose leads, we’re here to support you with award-winning in-house training programs, access to LinkedIn Learning, and reimbursement for external courses to help you get ahead.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level