senior ai engineer- underwriting and operations.

Our client, a leading global financial and insurance enterprise, is seeking an innovative, business-savvy Senior AI Engineer — Underwriting & Operations to join their elite AI Acceleration Pod.

In this high-impact consulting role, you will operate at the intersection of cutting-edge artificial intelligence and real-world business strategy. Working directly alongside Underwriting business units, you will design, iterate, and build user-facing AI prototypes, custom portals, and advanced Retrieval-Augmented Generation (RAG) frameworks to solve complex operational challenges. Designed as a fast-paced prototyping environment, your solutions will establish the technical blueprints for downstream industrialization teams to scale into enterprise-wide production. This position is ideal for a cross-functional, highly collaborative senior engineer who excels at using modern AI-assisted engineering tools to build high-value solutions at rapid velocity.

Duration: 5-Month Contract (with high potential for extension or permanent conversion)

Work Arrangement: 100% Remote

Advantages
100% Remote Flexibility: Enjoy complete work-from-home autonomy from anywhere within the region.

High-Visibility Innovation Mandate: Directly influence business strategy by building foundational AI blueprints that shape enterprise-wide production platforms.

Modern AI-Native Tooling Ecosystem: Utilize cutting-edge AI-assisted engineering tools (Claude Code, Cursor, GitHub Copilot) to accelerate design, refactoring, and delivery cycles.

Strategic Business Proximity: Work directly with business leaders and domain experts rather than in an isolated back-office engineering vacuum.

Direct Conversion Pathway: Position yourself within a forward-thinking pod with a clear roadmap for long-term contract extensions or full-time permanent conversion.

Responsibilities
Rapid Prototyping & AI Architecture
AI Solutions Engineering: Design, build, and deploy user-facing web portals, multi-agent frameworks, and advanced RAG architectures tailored to solve acute underwriting and operational challenges.

Tooling Optimization: Maximize modern AI-assisted engineering ecosystems (Claude Code, Cursor) to accelerate prototype iterations and maintain maximum developmental velocity.

Production Handoff Governance: Document, package, and refine validated prototypes, prompt structures, and architectural blueprints to ensure a seamless transition to downstream engineering teams for enterprise scaling.

Pod Leadership & Business Collaboration
Domain Immersion: Partner daily with Underwriting business units to map operational workflows, analyze business needs, and identify high-impact AI integration points.

Technical Guidance & Mentorship: Provide day-to-day technical leadership, code reviews, and mentorship to fellow pod members, fostering high standards of execution and structural quality.

Agile Sprint Execution: Serve as a core technical driver within designated AI pods, actively participating in rapid-cycle sprints, technical scoping, and peer knowledge-sharing sessions.

Qualifications
Career Experience: 10+ years of progressive professional experience in software engineering, systems design, or technical rapid prototyping.

AI Prototyping Mastery (2+ Years): Hands-on experience building AI-augmented software, RAG pipelines, context window strategies, and prompt-based system architectures.

AI-Assisted Tooling Literacy: Demonstrated fluency leveraging advanced LLM-based engineering accelerators—such as Claude Code (preferred), Cursor, or GitHub Copilot—to drastically accelerate software delivery cycles.

Consultative Communication: Exceptional soft skills with a proven track record of collaborating directly with non-technical business partners to translate operational pain points into technical solutions.

Technical Versatility: High proficiency in Python or modular languages, paired with a tech-agnostic ability to select the right framework or tool to bring an AI concept to life quickly.

Work Authorization: Candidates must be eligible to convert directly to full-time permanent employment without requiring visa sponsorship.

Preferred Assets
Background in the Insurance or Financial Services sector, with direct exposure to underwriting processes being a strong advantage.

Summary
If you are a tech-savvy Senior AI Engineer who pairs an absolute command of prompt engineering, RAG architecture, and AI development tools (Claude Code, Cursor) with the consultative business acumen needed to lead rapid prototyping pods, this 100% remote 5-month contract is an outstanding opportunity. Bring your rapid delivery mindset, pod leadership, and collaborative problem-solving style to our client's AI transformation team today!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to View email address on randstad.com to ensure their ability to fully participate in the interview process.

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