GenAI Architect

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  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 seeking a visionary  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 withourenterprise clients to architect and implement cutting-edge AI applications powered by  Azure OpenAI  ,  Microsoft Foundry  ,  Lang Chain  ,  Lang Graph  ,  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.

Key Responsibilities:

Architect and deliver  Generative AI solutions  using:
Lang Chain  and  Lang Graph  for agent-based and multi-step reasoning workflows
RAG pipelines  using AzureAISearch and vector databases
AI agents and MCP servers
Collaborate with clients to understand business challenges and translate them into AI-driven architectures.
Design secure, scalable, and compliant AI solutions within Azure cloud environments.
Lead technical workshops, proof-of-concepts, and solution demos for clients.
Guide development teams on best practices in LLM orchestration, prompt engineering, and model deployment.
Stay current with advancements in generative AI, Azure AI services, and open-source frameworks.

Required Qualifications:

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  ,  Lang Chain  , and  Lang Graph  .
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, AzureAISearch, Azure Storage, and containers in Azure.
Strong communication and stakeholder engagement skills.

Preferred Qualifications:

Experience with  Microsoft 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.

What We Offer:

Opportunity to work on high-impact generative AI projects with leading enterprise clients.
Access to exclusive Microsoft partner resources and training.
Collaborative and innovative work culture.
Competitive compensation and benefits.
Career growth in a rapidly evolving AI landscape.
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.
$130,000 - $180,000 CAD

#J-18808-Ljbffr