At a Glance
- Tasks: Design and build innovative AI-native solutions for enterprise clients.
- Company: Join a global leader in technology transformation with a collaborative culture.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic environment with endless learning and career advancement opportunities.
- Why this job: Shape the future of AI engineering while tackling real-world challenges.
- Qualifications: 4+ years in cloud-native systems and strong programming skills required.
The predicted salary is between 100300 - 216700 $ per year.
We are: The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs will provide our clients with seamless access to industry insights and innovative technology solutions. Stronger together! The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills.
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 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 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.
Role Location: British Columbia/Ontario/New Brunswick Annual Salary Range: $100,300 to $216,700
Senior Full Stack AI-Native Engineer in Mississauga employer: Accenture PLC
Accenture Technology is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As part of the Cloud First – Software Development team, you will have access to cutting-edge technologies and opportunities for professional growth while working on impactful AI-enabled solutions for major clients in the transportation sector. With a focus on employee development and a commitment to delivering high-quality applications, Accenture provides a supportive environment where your contributions are valued and recognized.