AI Native Full Stack Developer — Associate Manager / Manager

Accenture • Vancouver, BC

5d • CA$90,850 - CA$140,850 • Remote

About The Position

We Are A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows built to scale in real-world settings. Our teams embed deeply with customers, moving projects beyond experimentation into operational reality. You Are You are a hands-on AI Native Full Stack Developer who builds production-grade agentic applications and uses AI as a core part of how you deliver software. AI coding assistants and agents are embedded in your day-to-day workflow across design, code generation, testing, review, and delivery — helping you move faster while maintaining quality, structure, and engineering discipline. You bring strong capability across agentic AI, cloud-native delivery, and custom application development. You can independently own and deliver meaningful parts of an AI-native solution from design through build and run, thrive in ambiguity, translate complex problems into working software, and partner with client stakeholders to drive adoption of what you build. The Work You will work directly with clients as both a technologist and trusted advisor, helping define use cases, rapidly prototype solutions, and deliver secure, scalable agentic workflows in complex enterprise environments. You will help move AI-native solutions beyond proof of concept into operational, production-ready platforms integrated across client systems and ecosystem partners.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent; additional AI certifications or agentic tool experience is a plus.
• Minimum 7 years building and shipping cloud-native systems, including APIs, microservices, containerization, serverless, CI/CD, and observability.
• Demonstrated hands-on experience using AI coding tools and agents, such as Claude Code, GitHub Copilot, or similar, to deliver real software with meaningfully higher output.
• Experience working within an AI-native software development lifecycle, applying AI across design, build, testing, review, and delivery.
• Hands-on experience designing and shipping production-grade agentic AI solutions, including agents, orchestration, context engineering, RAG, and agentic workflows.
• Experience with AI platforms such as Claude, OpenAI, Vertex AI, and open-source models, including multi-provider architectures.
• Proven experience in custom application development with strong programming ability in Python, Java, or equivalent.
• Ability to design and deliver scalable, reusable solutions across systems and teams while working effectively with client stakeholders.
• Experience guiding client teams through adoption of AI-native software development practices.
• Familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Experience in data engineering, including data pipelines, data modeling, ontologies, or knowledge graphs, particularly for grounding agents in well-structured enterprise data.
• English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

Nice To Haves

• Experience as a Forward Deployed Developer or Agentic AI builder in an enterprise environment.
• Experience with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry / stream-based architectures.
• Strong grasp of the AI-native paradigm, blending cloud-native and generative model architectures to optimize performance, modularity, and efficiency.
• AI certifications or hands-on experience with agentic frameworks and tooling.

Responsibilities

• Apply AI coding assistants and agents across the software development lifecycle — including design, code generation, testing, code review, and delivery — to improve speed, quality, and engineering consistency.
• Design and build enterprise-ready AI agents, including retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Design, develop, and enhance custom software components across distributed systems and applications using modern frameworks.
• Build abstraction layers across AI providers such as Anthropic, OpenAI, Google, and similar platforms to enable flexible, multi-provider integration.
• Use Kubernetes, Docker, microservices, serverless, event-driven patterns, CI/CD, and observability to ship scalable AI-native systems.
• Facilitate design workshops, POCs, and code-with sessions to shape agent workflows, build stakeholder confidence, and tailor solutions to each client’s industry and domain.

Benefits

• 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

What This Job Offers

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