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Cloud Worker Agent Jobs (NOW HIRING)

Talanto

$46.75 - $64.25/hr

Experience in Healthcare and knowledge of Workers' Compensation industry is a plus. Experience ... agent-based architectures, model integration patterns, or AI-enabled application ecosystems is ...

Jobtailor

Distinguished Cloud Architect

Florham Park, NJ · On-site

$68 - $86.50/hr

Experience with Harness, Agent Development, Security Principles, and Secure Architecture concepts ... Fluency in English and languages relevant to the working market, where applicable. * Proficiency in ...

The University Of Chicago

$41.50 - $56.75/hr

... as AI agent frameworks, LLM-integrated tooling, or hardware accelerators; extend open source ... Experience with remote working and associated practices. * Technical Skills or Knowledge: Knowledge ...

JSR Tech Consulting

Cloud Engineer

Newark, NJ · On-site

$58.25 - $77.75/hr

... working software. • Improve the team: Identify and drive improvements in engineering practices ... agent frameworks. • Experience with model tuning, evaluation, and prompt engineering. • ...

Vertical Relevance

$48.25 - $64.25/hr

Open Policy Agent (OPA) * Rego policy development * Policy testing and validation * Advanced ... Experience working directly with AWS Support and Technical Account Managers. * Financial services ...

Vangard, Inc.

Cloud Platform Engineer

Malvern, PA · On-site

$54.75 - $73/hr

Nice-to-Have Skills * Familiarity with Open Policy Agent (OPA) and Nx. * Familiarity with ... How We Work Vanguard has implemented a hybrid working model for the majority of our crew members ...

Vanguard Group, Inc.

Cloud Platform Engineer

Malvern, PA · On-site

$54.75 - $73/hr

Nice-to-Have Skills * Familiarity with Open Policy Agent (OPA) and Nx. * Familiarity with ... How We Work Vanguard has implemented a hybrid working model for the majority of our crew members ...

Zebra Technologies

Cloud AI Engineer, Lead

Lincolnshire, IL · On-site

$58.75 - $78.50/hr

Demonstrated experience working with Google Gemini Enterprise, with a proven ability to build and deploy custom agents using the Agent Development Kit (ADK). * Multi-Cloud & GenAI Platform ...

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Cloud Worker Agent information

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$85.8K

$149.5K

How much do cloud worker agent jobs pay per year?

As of Sep 13, 2026, the average yearly pay for cloud worker agent in the United States is $85,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Cloud Worker Agent jobs?

For Cloud Worker Agent jobs, the most frequently searched job titles are:

Infographic showing various Cloud Worker Agent job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $85,793 per year, or $41.2 per hour.

Technology Architect | Cloud Platform | Google Cloud - Architecture

Charlotte, NC • On-site

Spruce Infotech
IT Services • 1 - 10 employees
Learn more about Spruce Infotechexternal

$63.50 - $80.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Technology Architect | GEN AI engineer
Work Location : CharlotteNC28202
XXX
Contract duration: 12
Target Start Date: 01 Jul 2026
Does this position require Visa independent candidates only? No (open for VD profiles)
F2F interview : Yes(Mandatory)
** Hybrid- 3 days work from Office is Mandatory**
Job Details:
Must Have Skills
GEN AI, Agentic AI, VLLM, fAST API, REST API, MCD, Lang Graph, Lang Chain, Graph RAG, ML Ops,Python, ML, Data Science, RAG,LLM
Nice to have skills
GCP, Prompt Engineering
Detailed Job Description
We are seeking a highly skilled Generative AI Engineer with a strong Python background to design, develop, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, and Gen AI frameworks, along with expertise in building scalable AI applications. Experience in Developing Agentic AI solutions.
Key Responsibilities:
Design and implement Generative AI models for text, image, or multimodal applications.
Develop prompt engineering strategies and embedding-based retrieval systems.
Integrate Gen AI capabilities into web applications and enterprise workflows.
Build agentic AI applications with context engineering and MCP tools. Required Skills & Qualifications:
7+ years of hands-on experience in AI, Data science, ML, GEN AI
2 years of strong hands on experience in Agentic AI, VLLM's, GEN AI, Lang Chain, Lang Graph, RAG, LLM OPS and AI Services in GCP and Azure.
Strong hands on experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines
Strong MLOps/LLMOps experience with CI/CD automation,
Extensive experience with LangChain, LangGraph, and agentic AI patterns including routing, memory, multi-agent orchestration, guardrails, and failure recovery.
Experience in Cloud-native engineering across AWS (SageMaker, Lambda, ECS/Fargate, S3, API Gateway, Step Functions) and GCP (Vertex AI) for scalable AI delivery
Experience in Developing microservices and API development using FastAPI, REST APIs, Pydantic/JSON schemas, Docker, and Kubernetes for low-latency serving.
Strong Hands-on experience with vector databases and semantic search technologies including Pinecone, FAISS, ChromaDB, and embedding lifecycle management
Strong proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow).
Hands on experience using session and memory for building multi-agent systems along with using MCP tools.
Hands-on experience with LLMs, transformers, and Hugging Face ecosystem.
Knowledge and experience with vector databases and RAG technique for semantic search.
Familiarity with cloud AI services (AWS SageMaker, Azure OpenAI, GCP Vertex AI).
Understanding of MLOps practices for scalable AI deployment.
Strong experience in working with LLM fine-tuning with LoRA, QLoRA, PEFT,
Strong experience in Architected advanced RAG systems using Pinecone, FAISS, Weaviate, Chroma, hybrid retrieval, and custom embeddings,
Strong experience in Designing end-to-end LLMOps/MLOps pipelines using MLflow, DVC, SageMaker Pipelines, Vertex AI Pipelines, and GitHub Actions
Experience in using cloud-native AI systems on AWS (SageMaker, Lambda, EKS, EC2, Step Functions, S3, Glue) and GCP Vertex AI, supporting high-volume inference and secure enterprise operations
Experience in developing multi-agent orchestration workflows using LangGraph and CrewAI for tool-calling, validation agents, automated reasoning, and workflow supervision
Minimum years of experience
>10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Strong communication skills
Strong programming skills
Interview Process (Is face to face required?)
Yes(Mandatory)
Any additional information you would like to share about the project specs/ nature of work
Project Code: of Observability, Agentic AI Use cases f

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