Artificial Intelligence Engineer

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. Our current focus and innovation in Digital Hyper expansion TM offers nearly limitless opportunities for career growth. For a brief 1-minute video about us, you can check out https://youtu.be/uJWBWQZEA6o. Photon is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We bring out the best in each other. Location: Charlotte NC (On-site) 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 Thanks, Sowmya Vemula.sowmyaphoton.com