What are the responsibilities and job description for the Google AI Senior Engineer position at Cognizant Technology Solutions?
As a Google AI Senior Engineer for Contact Center solutions, you will design and implement intelligent systems using the CCAI platform to create scalable, machine learning-driven solutions for enterprise clients.
Location: Louisville, Kentucky
Experience: 8 Years
Please note, this role is not able to offer visa transfer or sponsorship now or in the future
Salary and Other Compensation:
The annual salary for this position is between $90,000/Year to $100,000/Year depending on the experience and other qualifications of the candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Responsibilities-
Design & Develop Conversational Flows: Build intents, entities, and flows in Dialogflow CX for chatbots and voice assistants and managing intent recognition.
Build IVR systems, call routing, and CRM integrations. Implement webhooks and APIs for dynamic responses and backend data exchange.
Work with real-time analytics, call transcript analysis, QA automation and agent assist tools.
Collaborate with cross-functional teams and clients to understand contact center workflows and challenge areas.
Customize and optimize Google’s CCAI tools (Dialogflow, Agent Assist, etc.) for client-specific needs. Train and fine-tune models for improved intent recognition and entity extraction.
Analyze call transcripts and customer interactions to improve model accuracy and customer experience.
Analyze with data preprocessing, feature engineering, and model evaluation. Monitor bot performance, analyse user interactions, and optimize for accuracy and engagement.
Optimize algorithms for performance, scalability, and reliability.
Stay up-to-date with the latest AI research and apply it to real-world problems.
Qualifications
- Experience with Java is a plus.
- Proficiency in Python (for ML) and Experience with Java is a plus
Salary : $90,000 - $100,000