Photon
AI Architect - NC, USA/ CA, USA
Photon, Wilmington, North Carolina, United States, 28412
Job Description
Greetings Everyone
Who are we?
For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o.
What will you do?
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 technologiesDevelop proof-of-concepts and prototypes to validate architectural decisionsLead the integration of the chatbot with internal systems, databases, and APIsCollaborate with cross-functional teams to gather requirements and ensure alignment with business objectivesImplement best practices for AI model deployment, monitoring, and continuous improvementProvide technical leadership and mentorship to the development teamStay up-to-date with the latest advancements in AI, GenAI, and LLMs, incorporating innovative features into the chatbot architectureRequired Qualifications:
10+ years of experience in software development, with a focus on AI and machine learningProven experience architecting and implementing internal-facing AI chatbot solutions similar to Glean or RogoStrong hands-on experience with Python, LLMs, and Generative AI technologiesDeep understanding of natural language processing, sentiment analysis, and text generation techniquesExpertise in cloud platforms (AWS, Azure, or GCP) for AI model deployment and scalingExperience with MLOps practices and tools for model lifecycle managementStrong problem-solving skills and ability to translate complex business requirements into technical solutionsExcellent communication skills to explain technical concepts to both technical and non-technical stakeholders
Greetings Everyone
Who are we?
For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o.
What will you do?
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 technologiesDevelop proof-of-concepts and prototypes to validate architectural decisionsLead the integration of the chatbot with internal systems, databases, and APIsCollaborate with cross-functional teams to gather requirements and ensure alignment with business objectivesImplement best practices for AI model deployment, monitoring, and continuous improvementProvide technical leadership and mentorship to the development teamStay up-to-date with the latest advancements in AI, GenAI, and LLMs, incorporating innovative features into the chatbot architectureRequired Qualifications:
10+ years of experience in software development, with a focus on AI and machine learningProven experience architecting and implementing internal-facing AI chatbot solutions similar to Glean or RogoStrong hands-on experience with Python, LLMs, and Generative AI technologiesDeep understanding of natural language processing, sentiment analysis, and text generation techniquesExpertise in cloud platforms (AWS, Azure, or GCP) for AI model deployment and scalingExperience with MLOps practices and tools for model lifecycle managementStrong problem-solving skills and ability to translate complex business requirements into technical solutionsExcellent communication skills to explain technical concepts to both technical and non-technical stakeholders