We are:
The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000* people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions.
Stronger together!
The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.
The value for our clients and our people
For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.
For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.
You are:
A deeply technical AI & Data Engineer with full stack skills, comfortable working in fast-moving, evolving product environments. You have experience with conversational AI and customer implementations and are familiar with or open to developing C++ expertise.
The Work:
There will never be a typical day and that’s why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on today’s biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity.
Come grow your career in Technology at Accenture!
This role will require 3 days per week at the local Mississauga office or a client site located in the Greater Toronto Area. Preferred hiring locations for this role is Mississauga.
Key Responsibilities
- Solution Architecture: Design end‑to‑end conversational architectures integrating Google LLMs with client backend systems such as CRMs, ERPs, and APIs.
- Hands‑On Development: Build production‑ready components including custom webhooks, middleware, and integration layers using Node.js, Python, or Go.
- Implementation: Lead deployment of Dialogflow CX agents, focusing on complex state management, NLU tuning, and transition logic.
- Generative AI Integration: Implement grounding strategies such as RAG, orchestrate LLM workflows, and handle unstructured queries within the Customer Engagement Suite.
- API Design: Build and maintain RESTful APIs, manage async data flows, and ensure reliability and scalability of integrations.
Basic Qualifications
- Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field
- 3+ years of strong demonstrated experience working with Google Cloud Platform (GCP) - Cloud Functions, Cloud Run, IAM
- 2+ years of hands-on experience coding in Python, SQL, JavaScript/TypeScript, Java / J2EE, HTML, CSS
- 2+ years of AI/ML experience with a solid understanding of Natural Language Understanding (NLU) and experience with Vertex AI or similar orchestration frameworks
Preferred Qualifications
- Experience with Dialogflow CX, Agent Studio, or other conversational AI platforms; understanding of state management, NLU tuning, and transition logic.
- Strong front‑end skills in React (or similar) and UX patterns for admin/ops tooling and AI evaluation dashboards.
- Proficiency in C++ or C# (or willingness to build expertise) for components that benefit from lower‑level performance or SDK interoperability.
- Familiarity with data governance frameworks (catalogs, lineage, data contracts), security controls (KMS, CMEK), and privacy patterns (tokenization, minimization).
- Experience with Kubernetes/GKE and container orchestration; knowledge of service meshes, API gateways, and rate/quotas management.
- Background in MLOps/DataOps: feature stores, model/embedding registries, A/B or offline/online evaluation, and drift monitoring.
- Prior consulting or customer‑facing engineering experience in enterprise environments.
Required Certifications
- Google Cloud Digital Leader – foundational cloud knowledge needed for operating within GCP.
- Google Cloud Associate Cloud Engineer (ACE) – validates hands‑on ability with GCP services such as Cloud Run, Cloud Functions, IAM, VPC, and integrations.
Preferred Certifications
- Google Cloud Professional Cloud Architect (PCA) – demonstrates deeper architectural competence across distributed systems, APIs, and enterprise integrations.
- Google Cloud Professional Data Engineer (PDE) – ideal for data‑heavy AI workflows, NLU, and pipeline integrations.
- Google Cloud Professional Machine Learning Engineer – aligns strongly with LLM orchestration, Vertex AI, NLU systems, and grounding/RAG patterns.
- Dialogflow CX Certification (or equivalent conversational AI credential) – desirable for building and tuning advanced conversational agents.
- Certified Kubernetes Application Developer (CKAD) – helpful for engineers working with microservices, container orchestration, and scalable deployment models.
- Agile/Scrum Certification (CSM, PSM I, or equivalent) – beneficial given the collaborative, iterative nature of AI feature delivery.
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 $69,450 to $119,450
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.
