AI Full Stack Development Lead

We Are

Accenture Technology helps clients use leading-edge technologies to reinvent how they operate and deliver value. Our Cloud First – Software Development team brings together capabilities in technology architecture, integration, custom software development, testing, application modernization, agile delivery, and AI-enabled solution delivery.

You Are

You 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 Work

As 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 Need

Basic 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