You are:
An AI Native Engineer with experience building cloud-native solutions, and deep expertise in designing and deploying agentic systems, especially for enterprise environments. You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. You’ll help shape the playbook for how enterprises adopt and scale AI-native engineering globally.
The Work:
You’ll embed directly with clients — acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be completely net new platforms and systems that need to be stitched together in our clients' environments alongside our Ecosystem partners.
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 2 years of engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
- Minimum of 1 year of hands-on experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production or near-production environments.
- Minimum of 1 year of experience with modern AI platforms — OpenAI, Claude, Vertex AI, or open-source models — including building or using abstraction layers for multi-provider pipelines.
- Minimum of 3 years strong Python, Java, Springboot or equivalent experience building 12 factor applications + Infrastructure as Code (Terraform, Helm)
- Minimum of 3 years strong Angular, React or equivalent experience
- Minimum of 3 years of experience in client-facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions under ambiguity.
- A bachelor's degree or college diploma in computer science or related field.
Bonus Points If You Have:
- Relevant AI certifications or agentic tooling experience are a plus.
- You’ve served as an Agentic / AI Engineer in an enterprise environment.
- You’ve built multi agent orchestrations using (Lang-graph, Crew AI, Claude SDK, Open AI SDK, etc).
- Have a GitHub repo with an agent/plugins you have created
- You have additional AI certifications or experience with agentic tooling and frameworks.
- You’ve defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry / stream-based architectures.
- You understand the AI-native paradigm — blending cloud-native with generative model architectures — optimizing for performance, modularity, and efficiency.
- You’ve delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs.
- Driven execution across multiple workstreams, ensuring quality, delivery, and alignment with client outcomes.
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.
Role Location:British Columbia/Ontario/New Brunswick
Annual Salary Range: $65,350 to $115,350
#LI-NA-FY25
