Tech Mahindra · 3 hours ago
Google Cloud AI Engineer – Vertex AI & CCAI Virtual Agent Expert
Atlanta, GA
Full-time
Onsite
Senior Level
$140K/yr - $160K/yr
6+ years expTech Mahindra is a global leader in connected experiences and innovative technology solutions. They are seeking an experienced Google Cloud AI Engineer to design, build, and deploy advanced conversational AI solutions using Vertex AI and CCAI, enhancing digital customer engagement through intelligent chatbots.
Artificial Intelligence (AI)BlockchainConsultingNetwork SecurityTelecommunications
Responsibilities
Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI , with proficiency in Vertex AI Agent Engine and Google Agent Development Kit (ADK)
Expertise in building, customizing, and optimizing chatbots and conversational flows with Dialogflow CX/ES , including implementation of advanced intent detection, context management, slot filling, and rich fulfillment
Demonstrated ability to leverage state-of-the-art NLP , LLM , and GenAI models on Vertex AI to enhance chatbot capabilities, such as complex intent handling, summarization, entity extraction, and response generation
Hands-on experience building and maintaining cloud-native chat Virtual Agent solutions using GCP services including CCAI , Vertex AI , Pub/Sub , Cloud Functions , Cloud Run , Cloud Storage , and BigQuery for real-time data processing, analytics, and reporting
Proficiency in training , fine-tuning , and deploying custom LLMs , transformer models , and Retrieval Augmented Generation (RAG) pipelines to advance chat Virtual Agent intelligence
Solid understanding and practical application of MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines , Docker , Kubernetes , and CI/CD workflows
Strong experience developing REST APIs , gRPC , and JSON -based communication for seamless system integration
Qualification
Required
6+ years in software development (4+ in NLP/NLU for chat)
Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch)
Proven success building conversational agents with Vertex AI and Dialogflow CX/ES
Proficiency in GCP services and cloud-native architectures
Solid MLOps understanding (Docker, Kubernetes, CI/CD, Git). Experience with Agent Assist functionality is a plus
Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine and Google Agent Development Kit (ADK)
Expertise in building, customizing, and optimizing chatbots and conversational flows with Dialogflow CX/ES, including implementation of advanced intent detection, context management, slot filling, and rich fulfillment
Demonstrated ability to leverage state-of-the-art NLP, LLM, and GenAI models on Vertex AI to enhance chatbot capabilities, such as complex intent handling, summarization, entity extraction, and response generation
Hands-on experience building and maintaining cloud-native chat Virtual Agent solutions using GCP services including CCAI, Vertex AI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery for real-time data processing, analytics, and reporting
Proficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to advance chat Virtual Agent intelligence
Solid understanding and practical application of MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines, Docker, Kubernetes, and CI/CD workflows
Strong experience developing REST APIs, gRPC, and JSON-based communication for seamless system integration
Preferred
Master's/PhD in Computer Science, AI/ML, or related field
GCP certifications (e.g., Google Cloud Certified Professional ML Engineer)
Experience with GenAI frameworks (PaLM, Gemini). Integration with CRM, knowledge bases, and live agent systems
Knowledge of security and compliance in chat AI
Benefits
Medical
Vision
Dental
Life
Disability insurance
Paid time off (including holidays, parental leave, and sick leave, as required by law)
Company
Tech Mahindra
Tech Mahindra is a consulting company that offers network, sustainability, application, cloud infrastructure, and business services.
10001+ employees
H1B Sponsorship
Tech Mahindra has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (18)
2024 (8)
2023 (30)
2022 (32)
2021 (23)
2020 (90)
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
Life Insurance Corporation
2025-09-16Post Ipo Equity
2006-08-01IPO
Leadership Team
Mohit Joshi
CEO and Managing Director
Atul Soneja
Chief Operating Officer
Recent News
Business Standard India
2026-01-02
2025-12-27
2025-12-26
Company data provided by crunchbase