About the role

AI Engineer responsible for architecting AI agents and generative workflows at Colliers. Collaborate with stakeholders to build intelligent systems on Google Cloud Platform.

Responsibilities

Architect and deploy sophisticated AI agents and generative workflows to revolutionize business operations.
Build intelligent systems that automate complex backend processes.
Work closely with business stakeholders to identify and understand business problems and architect AI-powered systems to address them.
Design, build, and maintain sophisticated AI systems, including autonomous agents, generative workflows, and fine-tuned Large Language Models (LLMs).
Partner with software engineering, product, and infrastructure teams to integrate AI capabilities into new and existing applications.
Research, evaluate, and implement state-of-the-art AI technologies, models, and platforms.
Own and operate the end-to-end MLOps lifecycle on Google Cloud Platform, including building data pipelines, automating model deployment (CI/CD), monitoring system performance, and ensuring scalability.
Act as a subject matter expert on the latest advancements in Generative AI and the broader AI landscape.
Communicate complex AI architectures, capabilities, and performance metrics to both technical and non-technical stakeholders.
Create and maintain comprehensive engineering documentation, including system architecture diagrams, model cards, and operational runbooks.

2 + years of professional experience in an AI Engineer, Machine Learning Engineer, or related software engineering role.
Mastery of Python and its core AI/ML libraries.
Strong experience with SQL and hands-on experience with vector databases (e.g., Vertex AI Vector Search) for RAG implementations.
Demonstrated ability to build, fine-tune, and deploy production-grade Generative AI systems and multi-step agentic workflows from the ground up.
Proven experience with modern agent frameworks, specifically Google's Agent Development Kit (ADK) or similar toolkits like LangChain or LlamaIndex.
Strong proficiency in the GCP ecosystem, with direct experience deploying and managing AI solutions using Vertex AI.
You have a demonstrable understanding of the challenges of deploying AI in production environments (e.g., model limitations, scalability, reliability).
Experience designing and implementing evaluation frameworks to rigorously measure and compare the accuracy, latency, and cost of different Generative AI workflows and agentic systems.
Executing work from design through implementation with guidance when needed.
You possess strong communication (verbal and written) skills, with the ability to articulate complex AI concepts and collaborate effectively with both technical and non-technical stakeholders.

Innovative projects: Work on cutting-edge initiatives that shape our communities, drive our growth, and make a tangible impact.
Career growth: Advance your career and achieve your goals with industry-leading training and development programs.
Competitive benefits & compensation: Enjoy a comprehensive and flexible benefits package along with competitive compensation that rewards your contributions and supports your well-being.
Collaborative culture: Join our enterprising team where innovation thrives, collaboration is key, and our people are empowered to be their authentic selves and do their best work.
Diversity, Equity & Inclusion: Our robust North American Diversity & Inclusion Program features eight Employee Resource Groups (ERGs), where you can connect, learn, and contribute to a diverse and supportive community.
Global network: Join a global team of 24,000 professionals across 70 countries, where you'll expand your network and learn from experts in a dynamic international community.