Lead AI Agent Architect for Enterprise Platforms

1200 Accenture Inc Company

Mississauga

Hybrid

CAD 100,000 - 217,000

Full time

3 days ago
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Job summary

Accenture is seeking an AI Native Development Lead to design and deploy agentic workflows in enterprise environments. You will embed with clients as technologist and trusted advisor, defining use cases, prototyping rapidly, and delivering robust AI-native solutions that scale across complex infrastructures.

You will leverage cloud-native development, containerization, and multi-provider AI platforms to build secure, observable systems while guiding stakeholders through workshops and data-driven

Qualifications

  • Minimum of 3 years development experience with cloud-native systems.
  • Minimum of 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context design, 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, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
  • 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.
  • Bachelor’s degree or completion of a college program in a related discipline.
  • English is required for this position as this role will regularly interact with English-speaking stakeholders across Canada.

Responsibilities

  • Design and develop 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 Development: 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

Skills

Cloud-native development
Agentic systems design
Python/Java programming
Client engagement & workshops
CI/CD & observability

Education

Bachelor’s degree or college program

Tools

Kubernetes
Docker
Terraform
Helm
OpenAI/Anthropic/Vertex AI

Job description

Accenture is seeking an AI Native Development Lead to design and deploy agentic workflows in enterprise environments. You will embed with clients as technologist and trusted advisor, defining use cases, prototyping rapidly, and delivering robust AI-native solutions that scale across complex infrastructures.

You will leverage cloud-native development, containerization, and multi-provider AI platforms to build secure, observable systems while guiding stakeholders through workshops and data-driven

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