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Agentic Ai Jobs (NOW HIRING)

CloudIngest

Agentic AI

Dallas, TX · On-site

Agentic AI Location: Dallas, TX Technical Expert - Agentic AI & Enterprise Platforms Key Responsibilities Architect and develop enterprise-grade Agentic AI, Generative AI, and Machine Learning ...

New

Ingrammicro

Agentic AI Architect

Irvine, CA · On-site

Agentic AI Architecture & System Design: * Lead the definition and design of the end-to-end reference architecture for enterprise-grade agentic AI systems, encompassing agent lifecycle management ...

Ingram Micro

Agentic AI Architect

Irvine, CA · On-site

Agentic AI Architecture & System Design: * Lead the definition and design of the end-to-end reference architecture for enterprise-grade agentic AI systems, encompassing agent lifecycle management ...

InfoVision, Inc.

Agentic AI Developer

Irving, TX · On-site

Agentic Ai Developer, As an Agentic AI Developer, you will bridge the gap between AI research and practical business applications. You will create, test, and deploy intelligent agents that understand ...

Infovision

Agentic AI Developer

Irving, TX

Agentic Ai Developer, As an Agentic AI Developer, you will bridge the gap between AI research and practical business applications. You will create, test, and deploy intelligent agents that understand ...

Infovision

Agentic AI Developer

Irving, TX · On-site

Agentic Ai Developer, As an Agentic AI Developer, you will bridge the gap between AI research and practical business applications. You will create, test, and deploy intelligent agents that understand ...

InfoVision, Inc.

Agentic AI Developer

Dallas, TX

As an Agentic AI Developer, you will bridge the gap between AI research and practical business applications. You will create, test, and deploy intelligent agents that understand goals, break them ...

TTEC

Director, Agentic AI

Englewood, CO

Director, Agentic AI Apply now Your potential has a place here with TTECs award-winning employment experience. As a Director of Agentic AI working Hybrid in Denver, CO, youll be a part of bringing ...

Futran Tech Solutions Pvt. Ltd.

Agentic AI

Calabasas, CA · On-site

$63.25 - $82.25/hr

Position: Agentic AI Location - Woodland hills ,CA (onsite Role ) Required Skills • Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol. • Expertise in AI/ML engineering ...

Judge Group, Inc.

Agentic AI Developer

Schaumburg, IL

$60 - $65/hr

Agentic AI Developer (Contract) Location: Schaumburg, IL (Hybrid) Pay Rate: $60-65/hour (W2) Duration: 6-month contract Our client is seeking a highly skilled Agentic AI Developer to design and ...

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How much do agentic ai jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for agentic ai in the United States is $65.77, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $100.00 per hour, depending on experience, location, and employer.

How do Agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

What are the key skills and qualifications needed to thrive as an AI Engineer, and why are they important?

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

What are Agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.
More about Agentic Ai jobs
What cities are hiring for Agentic Ai jobs? Cities with the most Agentic Ai job openings:
What are the most commonly searched types of Agentic Ai jobs? The most popular types of Agentic Ai jobs are:
What states have the most Agentic Ai jobs? States with the most job openings for Agentic Ai jobs include:
What job categories do people searching Agentic Ai jobs look for? The top searched job categories for Agentic Ai jobs are:
Agentic Ai jobs near you
Infographic showing various Agentic Ai job openings in the United States as of June 2026, with employment types broken down into 14% Internship, and 86% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $136,810 per year, or $65.8 per hour.
Agentic AI

Agentic AI

CloudIngest

Dallas, TX • On-site

Other

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

Job description

Role : Agentic AI


Location: Dallas, TX


Technical Expert – Agentic AI & Enterprise Platforms

Key Responsibilities

Architect and develop enterprise-grade Agentic AI, Generative AI, and Machine Learning solutions.

Design and implement intelligent workflows, multi-agent systems, and AI orchestration frameworks.

Build and optimize custom machine learning models for classification, prediction, segmentation, recommendation, and analytics use cases.

Lead development of RAG (Retrieval-Augmented Generation), semantic search, and knowledge retrieval solutions.

Design scalable data pipelines leveraging Snowflake, Databricks, and cloud-native technologies.

Develop and deploy AI services, APIs, and microservices for production environments.

Define architecture standards, coding best practices, governance, security, and performance guidelines.

Mentor developers, conduct design reviews, and drive technical excellence across teams.

Evaluate emerging AI technologies and recommend adoption strategies.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

10+ years of experience in software engineering, solution architecture, or platform engineering.

5+ years of experience building AI/ML solutions in enterprise environments.

Strong hands-on programming experience in Python.

Proven experience leading architecture and development of large-scale distributed systems.

Technical Skills

AI / Machine Learning

Generative AI and Large Language Models (LLMs)

Agentic AI and Multi-Agent Systems

RAG Architecture and Semantic Search

Prompt Engineering

Fine-Tuning and Model Evaluation

Custom ML Model Development

Machine Learning Techniques

Classification Models

Clustering Models

Recommendation Systems

Predictive Analytics

Feature Engineering

MLOps and Model Lifecycle Management

Frameworks & Libraries

LangGraph

AutoGen

LangChain

CrewAI (preferred)

MCP (Model Context Protocol)

OpenAI APIs

Anthropic Claude APIs

Hugging Face Ecosystem

Scikit-Learn

XGBoost

PyTorch

TensorFlow (preferred)

Data & Analytics Platforms

Snowflake

Databricks

SQL

Data Engineering

Vector Databases

Feature Stores

Data Warehousing Concepts

Backend & APIs

Python

Flask

REST APIs

FastAPI (good to have)

Microservices Architecture

Event-Driven Architecture

Cloud & DevOps

Microsoft Azure

Azure Kubernetes Service (AKS)

Docker

Kubernetes

CI/CD Pipelines

Azure DevOps

GitHub

Front-End (Good to Have)

React

Angular

Preferred Experience

Building enterprise AI assistants and conversational platforms.

Developing AI-powered analytics and decision-support systems.

Designing agent orchestration frameworks and workflow automation platforms.

Working with telecom, marketing analytics, customer intelligence, or large-scale enterprise datasets.

Experience handling datasets with millions of records and deploying AI solutions at scale.

Exposure to AI governance, responsible AI, and model monitoring frameworks.

Apply