Job Description

Project Role :

Technology Architect

Project Role Description :

Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs.

Must have skills :

Google Cloud Platform Architecture

Good to have skills :

NA

Minimum

2

year(s) of experience is required

Educational Qualification :

15 years full time education



Summary: As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: o Configures and manages Dialogflow intents, entities, and contexts o Develops playbooks to handle escalation paths, fallback responses, NLP Training. o Ensures integration with CCAI components for consistent bot behavior across UHG. o Partners with the prompt engineer and CX specialist to ensure cohesive dialog design o Crafts engaging, user-centric prompts/ steering bot to drive intuitive and effective CX o Iterates on prompt designs based on Optum Input/ feedback o Works closely with the team and CX specialist to ensure prompts align with Optum persona o Collaborates with Dialogflow specialists to map prompts to intents and entities and NLP refinement Professional & Technical Skills: 1. Familiarity with DialogFlow CX / CCAI 2. Ability to refine prompts for AI/LLM-based responses1 3. Version Control: Proficiency with Git/GitHub workflows (Good to have) (optional) 4. API creation/ integration Additional Information: - The candidate should have a minimum of 2 years of experience in Google Cloud Machine Learning Services. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.




15 years full time education