Principal Architect, Generative AI

• Architect Generative AI Solutions:
  • Design and develop end-to-end generative AI applications that meet business needs, collaborating with IT and business leadership to align AI capabilities with organizational goals.
• Application Development:
  • Develop the architecture and framework for generative AI cloud-based applications, ensuring they are scalable, reliable, and high-performing.
  • Lead discussions with development teams to integrate generative AI models into enterprise applications.
• Design and Implementation:
  • Create detailed design plans for AI-powered solutions, including selecting the appropriate generative AI models, such as Large Language Models (LLMs), ensuring proper deployment and integration with existing infrastructure.
• Testing & Optimization: f
  • Conduct thorough testing and evaluation of AI models, ensuring accuracy and efficiency.
  • Continuously monitor the performance of generative AI applications and recommend optimizations.
• Lead Technical Teams:
  • Provide technical leadership and mentorship to development teams, guiding the adoption of generative AI tools and methodologies across the organization.
• Evaluate and Integrate New Technologies:
  • Stay up to date with advancements in generative AI technologies, tools, and frameworks.
  • Identify and integrate the latest innovations into HNI's generative AI ecosystem.
• Risk Management:
  • Operate with a "risk-aware" mindset, anticipating and addressing potential challenges or unintended consequences of AI implementations.

What You Have:

• Bachelor's degree in Computer Science, Engineering, Information Technology or related field
• At least 7 years of experience in roles such as AI Architect, Engineer, or Application Developer, with a recent focus on designing and implementing AI solutions.
• Proven experience designing and delivering generative AI applications, leveraging technologies such as Large Language Models (LLMs), Foundation Models, or similar generative AI systems.
• 1+ years of hands-on experience designing, building, and deploying Generative AI solutions in production environments.
• Expertise in Python, JavaScript, and modern front-end frameworks (React + TypeScript).
• Familiarity with relevant AI models and technologies such as OpenAI, Hugging Face, Falcon, LLaMA, Cohere, and others.
• Strong experience with SQL/NoSQL databases like PostgresDB, MongoDB and Neo4J
• Deep knowledge of cloud platforms (preferably Azure) and cloud-native AI services (e.g., Azure OpenAI).
• Proven experience implementing Generative AI systems using LangChain, LangGraph, LLMs, RAG, and embedding-based retrieval.

What You're Good At:

• Development and Integration Skills: Basic understanding of software development principles and hands-on experience working closely with developers to build AI-powered applications.
• Ability to design scalable generative AI applications, ensuring seamless integration into business workflows.
• Ability to consult with and influence stakeholders at various levels, explaining the benefits and challenges of generative AI solutions in a clear and compelling manner.