AI-Powered Application Developer — Associate Manager / Manager

Accenture • Vancouver, BC

5d • CA$90,850 - CA$140,850 • Onsite

About The Position

Accenture's Cloud First - Software Development team is seeking an AI-Powered Application Developer with strong experience in building custom web applications. This role focuses on client adoption of disruptive technologies, technology architecture, and providing specialized skills in integration, custom software development, application modernization, and agile methodologies. The team helps clients with complex projects, building modern, production-grade applications from the ground up using advanced tools, including AI. The ideal candidate is highly analytical, thrives on solving complex problems, and enjoys building scalable, high-quality software. A key differentiator is the candidate's ability to integrate AI into their development workflow, including writing precise technical specifications for AI coding agents, directing tools like Claude Code or GitHub Copilot for code generation and testing, and owning the output with discipline. Spec-driven development is central to shipping more, faster, without sacrificing quality. The role involves owning workstreams, collaborating with stakeholders, and continuously improving delivery speed and quality through AI-augmented ways of working.

Requirements

• Bachelor’s degree or completion of a college program in a related discipline.
• Minimum 5 years of experience as a full-stack developer.
• Strong front-end skills in at least one modern framework (React, Angular, or similar) with solid TypeScript proficiency.
• Strong back-end skills in Java or .NET/C#, including API design and data layer integration.
• Proven experience building custom applications — not just off-the-shelf implementations.
• Demonstrated, hands-on experience using AI developer tools (e.g., Claude Code, GitHub Copilot, Cursor, or similar) to deliver real production software, with measurably higher output.
• Hands-on experience with spec-driven development: writing structured technical specifications that direct AI coding agents to produce production-quality code, and the discipline to review and own the output.
• Experience working in Agile and DevOps environments.
• Hands-on experience with cloud-native delivery — containerization (Docker, Kubernetes), CI/CD pipelines, and at least one major cloud platform; GCP experience is preferred.
• Solid understanding of software design principles, APIs, and integration patterns.
• Strong analytical thinking and problem-solving skills, with the ability to translate ambiguous requirements into working software.
• Excellent communication and collaboration skills.
• English is required for this position as this role will be aligned to multi-national teams where English is the common language across our North America Market.

Nice To Haves

• Experience mentoring junior developers or helping establish AI-native development practices on a team.
• Familiarity with integrating AI/ML services into applications (inference APIs, embeddings, or model-as-a-service endpoints).
• Experience with microservices, event-driven architectures, or distributed systems at enterprise scale.
• Exposure to enterprise security and compliance requirements (OAuth, RBAC, data residency, audit logging).
• Experience with data layer design — relational and NoSQL databases, data modeling, or integration patterns.

Responsibilities

• Translate business and system requirements into detailed technical specifications, then leverage AI coding agents to accelerate implementation across the full stack.
• Design, develop, test, and maintain production web applications — front end (React, Angular, or similar modern frameworks) and back end (Java, .NET/C#, or equivalent).
• Apply AI-native software development practices, using tools like Claude Code, GitHub Copilot, or Cursor for code generation, testing, refactoring, and documentation.
• Design and implement front-end screens, REST/GraphQL APIs, and integrations.
• Build and deploy solutions using cloud-native architectures, DevOps practices, and CI/CD pipelines — primarily on GCP, with exposure to AWS or Azure.
• Use containerization (Docker, Kubernetes) and observability tooling to ship and operate reliable, scalable applications.
• Collaborate with architects, product owners, and stakeholders to deliver impactful solutions.
• Model AI-native development practices for the team and advise clients on adopting similar ways of working.

Benefits

• Work on meaningful, custom-built solutions for leading enterprise clients.
• Be part of a team at the forefront of AI-native software development.
• High-ownership, high-impact work environment where your AI-augmented productivity directly shapes what the team can deliver.
• Opportunity to define what modern software development looks like — and show clients what’s possible.
• Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.
• As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as set forth below.
• The base pay range shown below is intended as a guideline to reflect the majority of offers for this role. It does not represent a maximum limit — in some cases, actual compensation may exceed the range where appropriate.
• Information on benefits is here: Role Location Annual Salary Range British Columbia/Ontario $90,850 to $140,850

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree