AI-Native Full-Stack Tech Lead & Architect

Accenture; Toronto; On-site; CAD 142,000 - 292,000; Full time

Job summary

Accenture is seeking a hands-on technical leader to guide AI-enabled solutions end-to-end, embedding with clients to shape use cases, architecture, and delivery for scalable, secure AI-driven outcomes.

You will lead multidisciplinary teams from prototype to production, define standards for AI-native engineering, and ensure delivery with strong software and cloud practices, guardrails, and cost awareness. English proficiency required for multinational teams.

Qualifications

• Bachelor’s degree or college diploma in a related field.
• 8+ years of experience building and shipping full stack, distributed, or cloud-native systems, with 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.

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.

Skills

Full stack engineering

Cloud engineering

Leadership

React/Angular

Node.js/Python/Java

AI-native development

Education

Bachelor’s degree or college diploma

Tools

Kubernetes

CI/CD

Infrastructure as Code

Observability

Job description

Accenture is seeking a hands-on technical leader to guide AI-enabled solutions end-to-end, embedding with clients to shape use cases, architecture, and delivery for scalable, secure AI-driven outcomes.

You will lead multidisciplinary teams from prototype to production, define standards for AI-native engineering, and ensure delivery with strong software and cloud practices, guardrails, and cost awareness. English proficiency required for multinational teams.