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Added 11 mins ago
Registered Nurse
William Osler Health System
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Part-time
…training and promotional opportunities. Guided by our accomplished senior leadership team, together we are driving our vision of patient-inspired health care without…
Added 11 mins ago
Communications Specialist, McCaig Bone and Joint Health Institute
University of Calgary
Calgary, AB
Volunteer
The Communications Specialist will work closely with and take direction from the Senior Communications Specialist and may be assigned specific communications tasks or projects as required.…
Added 11 mins ago
Senior Clinical Trial Program Administrator, Clinical Research
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Calgary, AB
Full-time
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Accenture

AI-Native Full Stack Developer - Senior Manager

Toronto, ON, Canada
Ottawa, ON, Canada
Montreal, QC, Canada
Vancouver, BC, Canada
Calgary, AB, Canada

Pay: Role Location Annual Salary Range British Columbia/Ontario/New Brunswick $142,050 to $292,000
Job type: Full-time
Experience: Minimum 8 years of relevant experience building and shipping full stack, distributed, or cloud-native systems, including technical leadership across complex delivery environments.
Posting language: English
Posted: Sep 23, 2026

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Original job description

We Are

A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, AI-enabled workflows and applications that scale in real-world settings. Our teams embed with customers to move solutions beyond experimentation into secure, operational delivery.

You Are

You are a hands-on technical leader with deep software and cloud engineering foundations who can guide and deliver complete AI-enabled solutions end to end. You use AI-native development tools and autonomous agents as a core part of the software development lifecycle while remaining accountable for architecture, quality, security, and production outcomes.

You can distinguish between using AI effectively to build applications and building production-grade agentic applications. You set the technical direction, stay close to the build, and help teams adopt evolving AI-native practices without tying delivery to a single tool or provider.

The Work

You will work directly with clients to shape use cases, architecture, and delivery for secure, scalable AI-enabled solutions. You will lead multidisciplinary teams from prototype through production, integrating applications across enterprise systems while establishing practical standards for AI-native engineering.

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.

What You’ll Need

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

Bonus Points If You Have

These are not required, but they would help you stand out:

Eligibility for Reliability Clearance.
Experience with multi-agent architectures, agent registries, stream-based patterns, or compound AI systems.
Experience with open-source plugins or specification-driven development frameworks.
Machine learning background, advanced AI certifications, or experience across multiple industries.
Experience designing flexible architectures across multiple AI model or platform providers.

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 Annual Salary Range British Columbia/Ontario/New Brunswick $142,050 to $292,000

and

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services - creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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More about this job

Responsibilities

You will lead the architecture and hands-on delivery of secure, scalable AI-enabled solutions while guiding multidisciplinary teams through the SDLC. You are responsible for setting technical direction, implementing agentic AI workflows, and acting as a trusted advisor to enterprise clients.

Requirements

Candidates must have at least 8 years of experience in full stack and cloud-native systems with strong expertise in AI integration and agent orchestration. A bachelor's degree in a related field is required, along with proven ability to lead complex technical delivery in client-facing environments.

Skills

AI-native development
Full stack development
Cloud engineering
Agentic AI
Software architecture
Python
Node.js
React
Angular
Kubernetes
CI/CD
Infrastructure as code
Retrieval-augmented generation
Distributed systems
Technical leadership
Client-facing communication

Visa sponsorship

Not detected in the job text

Keywords

AI-native
Full stack
Cloud-native
Agentic AI
LLM
Retrieval-augmented generation
Kubernetes
CI/CD
Infrastructure as code
Microservices
Python
Node.js
React
Angular
Distributed systems
Observability
Guardrails
FinOps
Ontologies
Graph-based patterns
Software engineering
Technical leadership
Client-facing
SDLC
Automation
API
Context engineering
Loop engineering
Reliability clearance
Compound AI systems

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