Senior Full Stack AI-Native Engineer

Responsibilities:

• Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement.
• Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems.
• Domain-Specific Workflows: Tailor and deploy agentic applications across verticals — e.g., finance, healthcare, retail — addressing domain-specific processes via intelligent automation.
• Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
• Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
• Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.
• This is a hybrid role in Mississauga and requires 3 days per week in the office.
• Here’s What You Need:
• Minimum of 4 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum of 2 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• Minimum of 3 years experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
• Minimum of 5 years experience programming in Python, Java, Spring or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Minimum of 5 years strong Angular, React or equivalent experience
• Minimum of 5 years experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• Minimum of 5 years experience with client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity.
• A bachelor's degree or college diploma in computer science or related field.
• 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: British Columbia/Ontario/New Brunswick Annual Salary Range: $100,300 to $216,700
• #LI-NA-FY25
• 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: British Columbia/Ontario/New Brunswick Annual Salary Range: $100,300 to $216,700

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