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AI-Native Full Stack Developer - Senior Manager

Accenture•Greater Vancouver, British Columbia
Full-time7-15
👁️ 0 views•📝 0 applications•Posted 10/3/2026•Expires 11/2/2026
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Job Description

We Are A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, AI-enabled workflows and applications that scale in real-world settings. Our teams embed with customers to move solutions beyond experimentation into secure, operational delivery. You Are You are a hands-on technical leader with deep software and cloud engineering foundations who can guide and deliver complete AI-enabled solutions end to end. You use AI-native development tools and autonomous agents as a core part of the software development lifecycle while remaining accountable for architecture, quality, security, and production outcomes. You can distinguish between using AI effectively to build applications and building production-grade agentic applications. You set the technical direction, stay close to the build, and help teams adopt evolving AI-native practices without tying delivery to a single tool or provider. The Work You will work directly with clients to shape use cases, architecture, and delivery for secure, scalable AI-enabled solutions. You will lead multidisciplinary teams from prototype through production, integrating applications across enterprise systems while establishing practical standards for AI-native engineering. Responsibilities • Lead the architecture and hands-on delivery of complete AI-enabled solutions across full stack, cloud, data, and AI components. • Lead clients in adopting agentic AI across the SDLC by designing and implementing reusable harnesses and agents that automate and improve software engineering workflows. • Set and champion AI-native software development practices across design, coding, testing, code review, documentation, and delivery. • Guide teams in creating and customizing skills, agents, and subagents that improve individual and team engineering workflows. • Ensure solutions are grounded in strong software engineering and cloud engineering practices, including secure design, automated testing, CI/CD, observability, and operational readiness. • Design and deliver production-grade agentic applications, including orchestration, context management, tool invocation, evaluation, observability, guardrails, and agent FinOps. • Define evaluation approaches and production metrics for accuracy, latency, safety, reliability, and cost. • Shape data and knowledge foundations for agentic solutions, including data management, ontologies, knowledge management, retrieval, and graph-based patterns. • Lead client workshops, proofs of concept, and code-with sessions as a trusted technical advisor, translating ambiguity into executable architecture and delivery plans. What You’ll Need • Bachelor’s degree or college diploma in a related field. • Minimum 8 years of relevant experience building and shipping full stack, distributed, or cloud-native systems, including technical leadership across complex delivery environments. • Strong software engineering and cloud engineering foundations, with experience building and shipping scalable applications, APIs, microservices, and distributed systems. • Hands-on full stack development experience using modern front-end and back-end technologies, such as React or Angular and Node.js, Python, Java, or equivalent. • Demonstrated fluency with current AI-native development tools and agent modes across design, coding, testing, code review, documentation, and delivery, with the adaptability to learn new tools as the ecosystem evolves. • Ability to create and customize skills, agents, and subagents that support day-to-day engineering work and improve team delivery. • Experience with cloud-native delivery practices, including containers, Kubernetes, serverless or event-driven patterns, CI/CD, infrastructure as code, monitoring, and debugging. • Experience integrating AI capabilities into applications, including LLM integration, prompt and context engineering, retrieval-augmented generation, or agent workflows. • Strong client-facing communication and the ability to translate ambiguous business needs into working software. • Hands-on experience with production-grade agentic systems and agent orchestration frameworks. • Strong knowledge of evaluation, observability, guardrails, and cost management for agents. • Strong knowledge of data management, ontologies, knowledge management, context engineering, loop engineering, or graph engineering. • Proven ability to lead client-facing technical delivery and guide teams through adoption of AI-native development practices. • 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. Due to the significant high volume of interactions with these English-speaking multi-national teams, which is inherent to this position, it is not possible to reorganize the company’s activities to avoid this requirement. Bonus Points If You Have • Eligibility for Reliability Clearance. • Experience with multi-agent architectures, agent registries, stream-based patterns, or compound AI systems. • Experience with open-source plugins or specification-driven development frameworks. • Machine learning background, advanced AI certifications, or experience across multiple industries. • Experience designing flexible architectures across multiple AI model or platform providers. 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 recruiting efforts for this position are intended to fill a brand new position. 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/New Brunswick $142,050 to $292,000 #J-18808-Ljbffr

Required Skills

Full Stack DevelopmentCloud EngineeringDistributed SystemsReactAngularNode.jsPythonJavaAI-Native Development ToolsContainersKubernetesCI/CDInfrastructure as CodeLLM IntegrationRetrieval-Augmented GenerationAgent Orchestration FrameworksReliability ClearanceMulti-Agent ArchitecturesAgent RegistriesStream-Based PatternsCompound AI SystemsOpen-Source PluginsSpecification-Driven Development FrameworksMachine Learning

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