What are the responsibilities and job description for the AI Architect position at Photon?
Greetings everyone,
We hope you are staying safe. We are hiring AI Architect in Charlotte, NC/Concord, CA.
Who are we?
Photon has emerged as one of the world’s largest and fastest-growing Digital Transformation partners for Fortune 500 companies. We are known for our ability to integrate Strategy Consulting, Creative Design, and Technology at scale. Please visit www.photon.com to learn more about us.
What are we looking for?
We are seeking an experienced AI Architect to lead the design, development, and implementation of an advanced internal-facing assistant solution. The ideal candidate will have a strong background in architecture, product evaluation, and hands-on implementation experience with AI-powered assistants similar to Glean or Rogo.
Key Responsibilities:
- Design and architect a scalable, secure, and efficient internal assistant solution using cutting-edge AI and natural language processing technologies
- Develop proof-of-concepts and prototypes to validate architectural decisions
- Lead the integration of the chatbot with internal systems, databases, and APIs
- Collaborate with cross-functional teams to gather requirements and ensure alignment with business objectives
- Implement best practices for AI model deployment, monitoring, and continuous improvement
- Provide technical leadership and mentorship to the development team
- Stay up-to-date with the latest advancements in AI, GenAI, and LLMs, incorporating innovative features into the chatbot architecture
Required Qualifications:
- 10 years of experience in software development, with a focus on AI and machine learning
- Proven experience architecting and implementing internal-facing AI chatbot solutions similar to Glean or Rogo
- Strong hands-on experience with Python, LLMs, and Generative AI technologies
- Deep understanding of natural language processing, sentiment analysis, and text generation techniques
- Expertise in cloud platforms (AWS, Azure, or GCP) for AI model deployment and scaling
- Experience with MLOps practices and tools for model lifecycle management
- Strong problem-solving skills and ability to translate complex business requirements into technical solutions
- Excellent communication skills to explain technical concepts to both technical and non-technical stakeholders
