AI-Native Solutions Engineer, Finance Transformation & Solution Architecture

Royal Bank of Canada • Dartmouth, NS

9d • Hybrid

About The Position

Our Solution Architecture organization is building a highly capable AI-native engineering group operating as a strategic modernization and transformation tiger team for the enterprise. This team will help accelerate the organization’s finance transformation and modernization strategy by partnering with engineering, architecture, and business teams to catalyze innovation, modernize delivery practices, and establish AI and agentic systems as first-class architectural, development, operational, and organizational capabilities. We are seeking highly autonomous engineers who combine solution architecture, software engineering, product thinking, AI-enabled delivery, automation, and operational ownership into a single execution-oriented capability. This is not a traditional software engineering role. The successful candidate understands that modern engineering is no longer about manually performing isolated technical tasks, but about designing intelligent systems that automate delivery, validation, deployment, operations, and continuous evolution across the lifecycle of enterprise products, services, platforms, and modernization initiatives. You will leverage AI-assisted and agentic tooling throughout the full lifecycle of products, services, operational systems, and enterprise platforms. The ideal candidate thrives in ambiguity, operates across traditional organizational boundaries, and understands that strong engineering fundamentals, systems thinking, personal initiative, and AI amplification enable small, highly capable tiger teams to deliver outsized impact across a large enterprise environment.

Requirements

• Strong hands-on software engineering and solution architecture experience across modern distributed systems and enterprise platforms.
• Experience using AI-assisted and agentic development workflows as a core part of daily engineering activities.
• Strong understanding of Generative AI, LLM ecosystems, agentic frameworks, context and memory management, orchestration systems, retrieval-augmented generation (RAG), and tool integration patterns.
• Experience designing automation-first engineering and operational systems including CI/CD, infrastructure automation, observability, deployment automation, operational tooling, and self-service platforms.
• Strong product ownership mindset with the ability to independently move initiatives from concept to operational reality.
• Experience operating across multiple technical domains including frontend engineering, backend engineering, APIs, cloud infrastructure, DevOps, platform engineering, QA automation, and UX/UI.
• Strong systems thinking and the ability to work effectively across technical and organizational boundaries.
• Excellent communication, collaboration, mentoring, and problem-solving skills.
• Curiosity, adaptability, and a continuous learning mindset with the ability to rapidly learn new domains, technologies, and workflows.
• Embraces an AI-first approach: Someone who actively incorporates AI tools, agentic systems, and automation technologies into daily workflows to enhance productivity, reduce operational friction, streamline delivery, and improve outcomes across the product and service lifecycle. Demonstrates curiosity about emerging AI capabilities and applies them thoughtfully to engineering, operational, and organizational challenges.

Nice To Haves

• Experience supporting enterprise modernization or finance transformation initiatives.
• Experience building internal engineering platforms, developer enablement systems, or AI-powered operational tooling.
• Understanding of enterprise architecture, governance, operational resiliency, and platform scalability considerations.
• Experience mentoring teams on modern engineering practices and AI-native delivery methodologies.
• Familiarity with cloud-native architectures, distributed systems, observability platforms, and modern platform engineering practices.
• Knowledge of building GenAI Models
• Knowledge of Quantum Computing
• Elixir/Erlang/Beam experience.

Responsibilities

• Design and build AI-native products, services, and internal platforms using modern agentic development workflows and automation-first principles.
• Architect scalable, maintainable, and AI-enabled solutions that support enterprise finance transformation and modernization initiatives.
• Design systems that automate testing and validation, deployment, infrastructure provisioning, observability, operational workflows, incident response, governance, and lifecycle management.
• Build self-service and self-healing operational capabilities that reduce manual operational toil and improve engineering effectiveness.
• Leverage LLMs, agentic coding systems, orchestration frameworks, and AI-assisted workflows daily to accelerate delivery velocity, improve quality, and continuously optimize engineering processes.
• Embed Generative AI and automation capabilities into engineering and operational platforms to enable seamless and intelligent workflows across teams.
• Operate fluidly across multiple domains including solution architecture, business analysis, product ownership, frontend engineering, backend engineering, AI/ML integration, UX/UI, DevOps, QA automation, platform engineering, and operational enablement.
• Collaborate with teams across the organization to catalyze innovation, accelerate adoption of modern development practices, and establish AI-native engineering methodologies.
• Mentor and guide teams on automation-first thinking, agentic AI tooling, and modern software delivery practices.
• Contribute to enterprise architectural standards, engineering patterns, modernization strategies, and platform evolution initiatives that improve scalability, maintainability, resiliency, and organizational agility.

Benefits

• Flexible career growth opportunities across architecture, engineering, AI, platform modernization, and enterprise transformation initiatives

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed