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Home / Solution Architect – Generative AI (Azure AI Stack)

Solution Architect – Generative AI (Azure AI Stack)

Lantern

At Lantern, our company culture stands as the bedrock of our success and a source of pride for our teams. We firmly believe that a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners.

Within this culture, we nurture an environment of respect, inclusion, and belonging, fostering collaboration among inspired teams. We prioritize the well-being of our colleagues, the success of our clients, and our positive impact on society.
Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large.
As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results.

We are currently looking for an Solution Architect – Generative AI who will be responsible for leading our clients in designing and deploying solutions in MS Azure.

Key Responsibilities

We are seeking a visionary Solution Architect with deep expertise in Generative AI to lead the design and delivery of intelligent solutions using the Microsoft Azure AI stack. You will work closely with our enterprise clients to architect and implement cutting-edge AI applications powered by Azure OpenAI, Azure AI Foundry, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), and AI agents.
This role is ideal for someone passionate about transforming business processes through large language models (LLMs), multi-agent orchestration, and scalable AI infrastructure.

Skills, Knowledge and Expertise

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience in cloud solution architecture, with a strong focus on generative AI.
• Hands-on experience with Azure OpenAI, LangChain, and LangGraph.
• Deep understanding of LLM orchestration, agent frameworks, and RAG architectures.
• Proficiency in Python and experience with cloud-native development.
• Familiarity with Azure services such as Azure AI Foundry, Azure Functions, Azure AI Search, Azure Storage, and containers in Azure.
• Strong communication and stakeholder engagement skills.

Preferred Skills

•Experience with Azure AI Foundry or similar enterprise LLM lifecycle platforms.
• Microsoft certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert).
• Experience with MLOps, CI/CD for AI workloads, and responsible AI practices.
• Familiarity with Semantic Kernel, or other orchestration frameworks.

Lantern is committed to fair and equitable compensation practices. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.

Ontario Salary Range
$130,000—$180,000 CAD

To apply for this job please visit job-boards.greenhouse.io.

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Toronto is the most populous city in Canada and the capital city of the Canadian province of Ontario. It is located on a harbour at the northwestern shore of Lake Ontario. The city is the fourth-most populous city in North America, behind Mexico City, New York City, and Los Angeles, with a census population of 2,794,356 as of 2021. The Greater Toronto Area (GTA) is constituted of Toronto proper and four surrounding regions, Peel, York, Durham, and Halton, and has a population of 6,712,341, while the Toronto census metropolitan area (CMA), with a somewhat different definition, has a population

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