GCP Application Senior Technical Specialist

Experience: Not Available to Not Available years

Location: Gautam Buddha Nagar, India

Skills: AI/ML, Generative AI systems, Google Cloud AI services, Google Cloud architecture, LLMs, prompt engineering, RAG pipelines, Conversational AI platforms, Dialogflow CX, AI agents, autonomous workflows, Multi-agent collaboration systems, Google Cloud ecosystem, Vertex AI, Agent Engine, ADK, Speech-to-Text APIs, Text-to-Speech APIs, Graph databases, Neo4j, Neptune, Python, Java, Node.js, APIs, microservices, cloud-native architectures, NLP, Generative AI lifecycle, Model guardrails, Ethical AI practices, Agent-to-Agent frameworks, distributed intelligence systems, enterprise automation, workflow orchestration, multi-modal AI systems, Google Cloud certification, Professional ML Engineer

Job Summary
Role - GCP AI Engineer
We are seeking a highly skilled and innovative Senior/Lead Engineer to design, develop, and deploy agentic AI solutions leveraging Google Cloud’s advanced AI/ML ecosystem. The role focuses on building intelligent, autonomous, and multimodal systems using Agent Development Kit (ADK), Agent Engine, conversational AI platforms, and LLM-powered architectures.
You will play a critical role in architecting next-generation AI-driven customer experiences and enterprise automation solutions, integrating speech, text, reasoning,



and knowledge graph capabilities.
Solid experience in:
• AI/ML and Generative AI systems
• Google Cloud AI services and architecture
• LLMs (Gemini or equivalent), prompt engineering, RAG pipelines
• Conversational AI platforms (Dialogflow CX or equivalent)
• AI agents / autonomous workflows
• Multi-agent collaboration systems
• Google Cloud ecosystem:
• Vertex AI, Agent Engine, ADK
• Speech-to-Text, Text-to-Speech APIs
• Dialogflow / CX Next Gen
• Data technologies:
• Graph databases (Neo4j, Neptune, etc.)
• Programming:
• Python, Java, or Node.js
• APIs, microservices, and cloud-native architectures
Deep understanding of:
• NLP (Natural Language Processing)
• Generative AI lifecycle
• Model evaluation and safety
Experience implementing:
• Model guardrails (Model Armour)
• Ethical AI practices

Preferred Qualifications:
• Experience with Agent-to-Agent (A2A) frameworks or distributed intelligence systems
• Knowledge of enterprise automation and workflow orchestration
• Exposure to multi-modal AI systems (text, speech, vision)
• Certification in Google Cloud (Professional ML Engineer)

Key Responsibilities
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Skill Requirements
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Other Requirements
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📌 GCP Application Senior Technical Specialist (Noida)
🏢 HCL Technologies
📍 Noida