About the role
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.
Key Responsibilities
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.