AI Engineering Consultant

Accenture

Toronto

On-site

CAD 200,000 - 265,000

Full time

14 days+

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Job summary

A global consulting firm in Toronto is seeking an experienced AI Engineering Consultant to design, develop, and deploy innovative client solutions leveraging Generative AI and other technologies. The ideal candidate will have a background in machine learning, strong experience in AI engineering, and a passion for solving complex business challenges. This role offers a competitive salary and the chance to work on cutting-edge projects.

Qualifications

3+ years of AI engineering experience including hands-on development and deployment of Deep Learning.
Experience in managing large language model (LLM) solutions.
Practical experience with agentic frameworks like LangChain, AutoGen.

Responsibilities

Champion the creation of innovative Gen AI products.
Design innovative solutions for complex client business problems.
Prototype and explore innovative GenAI solutions.
Deploy end-to-end solutions tailored to organizational needs.

Skills

AI engineering experience

Python proficiency

API integration

Managing large language models

Agentic frameworks experience

Strong product intuition

Strong communication skills

Education

University degree

Tools

AWS SageMaker

Azure AI

Google Vertex AI

OpenAI

LangChain

Job description

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Who We Are:

Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product andexperiencedesign; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise,we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at Accenture Song

There will never be a typical day at Accenture Song, but that’s why people love it here. The opportunities to make a difference while working on exciting client initiatives are limitless in this ever-changing space.

You Are:

Are you an AI/Gen AI enthusiast? Does working on Agentic AI excite you? Are you thrilled about building Gen AI applications to address complex business challenges and transform customer experiences? If yes, read on!

We are seeking an innovative and results-driven AI Engineering Consultant ready to challenge the status quo and push the boundaries of what’s possible with Generative AI. In this role, you’ll design, develop, and deploy cutting-edge AI client solutions. The ideal candidate will have a strong background in machine learning and software engineering, with a focus on addressing and solving true customer problems. If you get excited about creating the next generation of Gen AI applications that reinvent customer experiences, let’s talk!

The Work:

Champion the creation of innovative Gen AI products by collaborating with designers, product managers, data engineers, and others to enable impactful, client-ready Gen AI solutions.

Design innovative solutions by translating complex client business problems into practical, functional solution architectures that drive measurable impact.

Prototype and explore innovative GenAI solutions by developing proof of concepts and pilots to rapidly test and prove transformative opportunities for clients.

Deploy end-to-end solutions tailored to organizational needs, spanning machine learning, generative AI, and intelligent agents, ensuring scalable and sustainable delivery.

Drive innovation by researching and integrating emerging Gen AI technologies with ecosystems and developing proprietary AI applications.

Actively support business development and Gen AI related pitches and demos to support client engagements.

Stay updated with advancements in LLMs, GenAI frameworks, Agentic AI and related technologies to help inform practice offerings.

Here’s What You’ll Need:

A University degree is required for this position.

3+ years of AI engineering experience including hands-on development and deployment of Deep Learning, Generative AI and Agentic AI applications.

Strong product intuition and an entrepreneurial mindset to lead enablement of important AI programs for our clients.

Proficiency with Python and experience with API integration with cloud AI platforms (e.g., AWS SageMaker, Azure AI, Google Vertex AI).

Experience in managing large language model (LLM) solutions to generate solutions across different mediums (e.g. text, image, video, etc.) and with programmatic tooling (e.g. OpenAI, Gemini, Cohere, etc.).

Practical experience with agentic frameworks like LangChain, AutoGen, CrewAI, or Semantic Kernel.

Experience in developing and supporting LLMOps capabilities such as performance monitoring, alerting and versioning.

English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

Eligibility to obtain Security Reliability clearance in a reasonable timeframe.

Nice to Have:

Master’s degree in computer science or a related technical field.

Experience with client-facing projects and participating in business development proposals in consulting, agency or other business-related services.

End-to-end experience of enabling Gen AI applications or agentic systems, from initial conception to launch.

Strong communication skills, with experience translating complex topics to senior leadership.

Previous presentation experience at leading industry conferences and publications within the areas of customer analytics, data and AI.

Knowledge of Responsible AI principles and experience with implementing guardrails, content filters, and fallback strategies to ensure safe and reliable AI adoption.

Certifications related to data and Gen AI services on Azure, GCP, AWS and Databricks, as well as Adobe and Salesforce.

Seniority level