AI and Data Architect

Toronto, ON (Hybrid)

Full time Permanent

What you will do:

- Design and prototype AI models leveraging technologies like large language models (LLMs), multimodal Generative AI, and GenAI frameworks.

- Develop solutions for telecom-specific challenges such as network planning, predictive maintenance, fault diagnosis, and spectral efficiency optimization.

- Utilize Generative AI models using structured and unstructured datasets from telecom networks.

- Optimize AI frameworks for scalability, accuracy, and performance in real-world telecom applications.

- Build scalable, reliable data pipelines to collect, preprocess, and manage large volumes of data from telecom networks.

- Engineer data workflows that fuel Generative AI applications for network traffic analysis, semantic communication, and hybrid beamforming.

- Partner with cross-functional teams (e.g., telecom engineers, data scientists, and product managers) to identify high-value AI use cases.

- Collaborate with stakeholders to customize AI models tailored to specific operational needs, such as 5G Core, OSS/BSS systems, customer support automation, and resource allocation.

- Ensure AI systems adhere to legal & regulatory policies, including data privacy standards (e.g., GDPR) and algorithm transparency.

- Use ethical AI frameworks to mitigate risks and bias in AI-driven systems.





- Evaluate deployed AI systems, monitoring their performance, scalability, and impact on network operations.

- Continuously refine the AI models to adapt to new data inputs and emerging telecom challenges.

The skills you bring:

- Bachelor's degree in Computer Science, Data Science, Telecommunications, or a related field. Master's degree preferred.

- Proficiency in Generative AI frameworks, LLMs, and tools such as GPT-based models, Anthropic Claude, Amazon Titan, or equivalent models

- Strong capabilities in Python, TensorFlow, or PyTorch with expertise in machine learning and deep learning techniques

- Familiarity with data pipelines and processing large-scale structured and unstructured datasets

- Understanding of OSS/BSS, 5G networks, and telecom-specific AI applications such as channel modeling, fault detection, and customer service automation

- Insight into applying AI for semantic communication, network optimization, and resource allocation

- Capacity to translate complex business problems into AI-driven solutions using creative approaches and advanced AI methodologies

- Ability to work collaboratively across teams with technical and non-technical stakeholders

- Understanding of AI governance and responsible use practices

📌 AI And Data Architect (Toronto)
🏢 Recutify
📍 Toronto