Google Cloud Platform LLM Agentic AI Solution Architect
Santa Clara, CA, US • Posted 18 hours ago • Updated 18 hours ago

Elista Global LLC
Dice Job Match Score™
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Job Details
Skills
- Artificial Intelligence
- Generative Artificial Intelligence (AI)
- LangChain
- Azure
- GCP
Summary
Role - Google Cloud Platform LLM Agentic AI Solution Architect Client - KPMG
Location – Santa Clara CA Onsite
Experience – Minimum 12 years
Primary Skills – Azure OpenAI, Azure AI Studio, Azure and Google Cloud Platform Cloud Functions, Kubernetes, LLM orchestration, LLM Architecture, Retrieval-Augmented Generation (RAG), APIs and custom connectors Integration
Educational Qualification*
Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Experience Range
10-12 years of experience in AI/ML-related roles, with a strong focus on LLM's & Agentic AI technology.
Primary (Must have skills)* - To be Screened by TA Team
Generative AI Solution Architecture (2–3 years): Proven experience in designing and architecting GenAI applications, including Retrieval-Augmented Generation (RAG), LLM orchestration (LangChain, LangGraph), and advanced prompt design strategies.
Backend & Integration Expertise (5+ years): Strong background in architecting Python-based microservices, APIs, and orchestration layers that enable tool invocation, context management, and task decomposition across cloud-native environments (Azure Functions, Google Cloud Platform Cloud Functions, Kubernetes).
Enterprise LLM Architecture (2–3 years): Hands-on experience in architecting end-to-end LLM solutions using Azure OpenAI, Azure AI Studio, Hugging Face models, and Google Cloud Platform Vertex AI, ensuring scalability, security, and performance.
RAG & Data Pipeline Design (2–3 years): Expertise in designing and optimizing RAG pipelines, including enterprise data ingestion, embedding generation, and vector search using Azure Cognitive Search, Pinecone, Weaviate, FAISS, or Google Cloud Platform Vertex AI Matching Engine.
LLM Optimization & Adaptation (2–3 years): Experience in implementing fine-tuning and parameter-efficient tuning approaches (LoRA, QLoRA, PEFT) and integrating memory modules (long-term, short-term, episodic) to enhance agent intelligence.
Multi-Agent Orchestration (2–3 years): Skilled in designing multi-agent frameworks and orchestration pipelines with LangChain, AutoGen, or DSPy, enabling goal-driven planning, task decomposition, and tool/API invocation.
Performance Engineering (2–3 years): Experience in optimizing Google Cloud Platform Vertex AI models for latency, throughput, and scalability in enterprise-grade deployments.
AI Application Integration (2–3 years): Proven ability to integrate OpenAI and third-party models into enterprise applications via APIs and custom connectors (MuleSoft, Apigee, Azure APIM).
Governance & Guardrails (1–2 years): Hands-on experience in implementing security, compliance, and governance frameworks for LLM-based applications, including content moderation, data protection, and responsible AI guardrails.
- Dice Id: 91172652
- Position Id: 8875260
- Posted 18 hours ago
Company Info
About Elista Global LLC
Elista Global is a premier strategic solutions partner, dedicated to connecting leading businesses with elite talent in technology, finance, and accounting. We go beyond traditional staffing to become an extension of your team, delivering the expertise needed to drive digital transformation and achieve ambitious business goals.
Our strength lies in our deep industry knowledge and our curated network of specialists. We don’t just fill positions; we build custom teams designed to solve complex challenges and deliver tailored, scalable solutions.
While we are building our legacy on a foundation of fresh thinking and modern strategies, our commitment to excellence mirrors the proven track record of industry leaders. We are proud to partner with forward-thinking enterprises, delivering exceptional results through a culture of collaboration, knowledge sharing, and true strategic partnership.


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