You AreYou are a hands-on AI Full Stack Development Lead with strong experience leading the design and delivery of modern, cloud-native and AI-enabled solutions. You bring deep technical expertise across frontend and backend development, distributed systems, GCP, and AI-enabled application development - along with the leadership skills to guide teams and own complex delivery outcomes.
You lead application workstreams from solution design through build, deployment, and production support. You remain hands-on when required while setting technical direction, managing delivery risks, reviewing technical outputs, mentoring team members, and partnering with client and cross-functional stakeholders to translate business needs into secure, scalable solutions.
You are comfortable working autonomously in a fast-paced delivery environment - you take initiative, drive your own workstreams forward, and do not need to be managed task by task.
You will be embedded within a dedicated Agent Onboarding Pod, working as part of a broader Accenture delivery team on one of Canada's largest enterprise AI programmers. The pod operates autonomously, delivering end-to-end agent use cases for a major client in the transportation sector. You will report to the Pod Lead and work closely with both Accenture platform architects and client development teams on a daily basis.
The WorkAs a member of Accenture's Software Development and Application Development practices, you will lead the design, build, and delivery of scalable, high-quality applications and AI-enabled solutions for clients across industries. Key responsibilities include:
- Deliver Full Stack and AI-enabled application features across frontend, backend, APIs, integration, and cloud deployment - working autonomously within an agile pod.
- Build scalable, secure, and high-performing RESTful APIs and backend integration patterns using Node.js, Python, or Java.
- Contribute to frontend development activities as required, including UI integration, API consumption, and defect resolution using React or Angular.
- Develop and deploy applications on Google Cloud Platform (GCP) using cloud-native design principles including Vertex AI, Gemini API, and Cloud Run.
- Design and deliver AI-enabled application features including LLM integration, RAG pipelines, agent orchestration, prompt and context design, and evaluation frameworks - working with Google's Gemini API, Vertex AI, and Agent Development Kit (ADK).
- Work with containerized applications and Kubernetes for deployment, configuration, and runtime operations.
- Contribute to solution and cloud architecture decisions, ensuring scalability, resiliency, performance, security, and alignment with client requirements.
- Build, maintain, and enhance Azure DevOps (ADO) CI/CD pipelines.
- Partner with client stakeholders, product owners, architects, DevOps, and QA teams to clarify requirements, resolve technical issues, communicate progress, and ensure reliable releases.
- Apply and uphold development standards for code quality, security, testing, observability, and documentation - including AI tooling fluency, prompt design best practices, and evaluation-driven development as part of daily delivery practice.
- Participate in production incident resolution, root cause analysis, risk mitigation, and continuous improvement activities.
- Participate in agile ceremonies, contribute to estimates and milestone planning, and support a collaborative, outcome-driven team culture.
What You'll NeedBasic Qualifications:- Bachelor's degree or college diploma in a related field.
- Minimum 7 years of relevant experience in application or software development, including experience leading technical teams, delivery workstreams, or complex client-facing initiatives.
- Strong hands-on Full Stack development experience using React or Angular for frontend and Node.js, Python, or Java for backend services and microservices-based application design.
- Experience building and consuming REST APIs and backend integration patterns.
- Solid understanding of application performance, scalability, and security.
- Hands-on experience with Google Cloud Platform (GCP), including Vertex AI, Gemini API, and Cloud Run.
- Hands-on AI and machine learning experience, including working with large language models (LLMs), prompt engineering, or specification-driven development.
- Experience integrating AI capabilities into full stack applications, including connecting AI services or model APIs with frontend and backend components.
- Demonstrated ability to transition from traditional Full Stack development into AI-enabled application development is highly valued.
- Demonstrated experience delivering end-to-end technical solutions, contributing to code and design reviews, and communicating effectively with cross-functional stakeholders.
- Experience working with Kubernetes, including deployments and runtime concepts.
- Experience with Azure DevOps (ADO), including source control, work items, and CI/CD pipeline creation and maintenance.
- 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- Eligibility for Reliability Clearance.
- Hands-on experience with Google ADK, Model Context Protocol (MCP), or multi-agent orchestration patterns (e.g. LangGraph, CrewAI, AutoGen) - or LLM evaluation frameworks such as LLM-as-judge, golden dataset design, and precision/recall scoring.
- Experience with BigQuery, Cloud SQL, or Databricks for data access and integration in AI-enabled applications.
- Experience with Firebase, Firestore, or Cloud Functions.
- Exposure to monitoring and observability tools (e.g. Dynatrace, SIEM, logging, and alerting platforms).
- Experience supporting production environments and operational readiness activities.
- Familiarity with SRE or reliability-focused practices.
- Experience modernizing legacy applications or contributing to DevOps transformations.
- Experience leading and mentoring software development teams, supporting performance and capability development, and coordinating work across onshore and offshore delivery teams.
- Strong analytical and problem-solving skills.
- Ability to work independently and collaboratively in fast-paced agile delivery environments.
- Clear written and verbal communication skills.
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 $100,300 to $216,700
#LI-NA-FY25 and #LI-MP 
