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Agentic Ai Jobs (NOW HIRING)

Fervo Energy Company

Agentic AI Engineer

Houston, TX · On-site

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn unstructured knowledge and structured operational data into autonomous capabilities for engineers ...

Fervo Energy

Agentic AI Engineer

Houston, TX · On-site

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn unstructured knowledge and structured operational data into autonomous capabilities for engineers ...

Provn

Agentic AI Engineer

Seattle, WA · On-site +1

$145K/yr

Agentic AI Engineer Envorso Sports Seattle, WA (Hybrid) or Remote, US Full-time -8d55-4962-b372- 5a47ee733577/agentic -ai- engineer?utm_source=dstribute & utm_medium=job+boards & utm_campaign=envorso ...

New

NTT DATA Services

Agentic AI Architect

Dallas, TX · On-site

We are currently seeking a Agentic AI Architect to join our team in Dallas, Texas (US-TX), United States (US). - Enterprise Agentic AI Architect Day to Day job Duties: As an AI Architect, You will ...

NTT DATA Services

Agentic AI Architect

Dallas, TX · On-site +1

We are currently seeking a Agentic AI Architect to join our team in Dallas, Texas (US-TX), United States (US). - Enterprise Agentic AI Architect Day to Day job Duties: As an AI Architect, You will ...

System One

Agentic AI Engineer

Pittsburgh, PA · On-site

Agentic AI Engineer Position Location - Pittsburgh, PA ; Dallas, TX ; Cleveland, OH Duration - Direct Hire Employment Type - No C2C or third party vendors at this time Required qualifications to be ...

System One

Agentic AI Engineer

Pittsburgh, PA · On-site

Agentic AI Engineer Position Location - Pittsburgh, PA ; Dallas, TX ; Cleveland, OH Duration - Direct Hire Employment Type - No C2C or third party vendors at this time Required qualifications to be ...

NTT DATA Services

Agentic AI Architect

Dallas, TX · On-site +1

We are currently seeking a Agentic AI Architect to join our team in Dallas, Texas (US-TX), United States (US). - Enterprise Agentic AI Architect Day to Day job Duties: As an AI Architect, You will ...

Hirekeyz Inc

Agentic AI Developer

Berkeley Heights, NJ · On-site

Agentic AI Developer Location: Berkeley Heights, NJ Duraction: Full Time Agentic AI Developer (Python) -- Vertex AI RAG + Graph/Vector Datastores Role summary We're looking for a strong agentic AI ...

System One

Agentic AI Engineer

Pittsburgh, PA · On-site

Agentic AI Engineer Position Location - Pittsburgh, PA ; Dallas, TX ; Cleveland, OH Duration - Direct Hire Employment Type - No C2C or third party vendors at this time Required qualifications to be ...

System One

Agentic AI Engineer

Pittsburgh, PA · On-site

Agentic AI Engineer Position Location - Pittsburgh, PA ; Dallas, TX ; Cleveland, OH Duration - Direct Hire Employment Type - No C2C or third party vendors at this time Required qualifications to be ...

System One

Agentic AI Engineer

Pittsburgh, PA · On-site

Agentic AI Engineer Position Location - Pittsburgh, PA ; Dallas, TX ; Cleveland, OH Duration - Direct Hire Employment Type - No C2C or third party vendors at this time Required qualifications to be ...

System One

Agentic AI Engineer

Pittsburgh, PA · On-site

Agentic AI Engineer Position Location - Pittsburgh, PA ; Dallas, TX ; Cleveland, OH Duration - Direct Hire Employment Type - No C2C or third party vendors at this time Required qualifications to be ...

System One

Agentic AI Engineer

Pittsburgh, PA · On-site

Agentic AI Engineer Position Location - Pittsburgh, PA ; Dallas, TX ; Cleveland, OH Duration - Direct Hire Employment Type - No C2C or third party vendors at this time Required qualifications to be ...

System One

Agentic AI Engineer

Pittsburgh, PA · On-site

Agentic AI Engineer Position Location - Pittsburgh, PA ; Dallas, TX ; Cleveland, OH Duration - Direct Hire Employment Type - No C2C or third party vendors at this time Required qualifications to be ...

System One

Agentic AI Engineer

Pittsburgh, PA · On-site

Agentic AI Engineer Position Location - Pittsburgh, PA ; Dallas, TX ; Cleveland, OH Duration - Direct Hire Employment Type - No C2C or third party vendors at this time Required qualifications to be ...

System One

Agentic AI Engineer

Pittsburgh, PA · On-site

Agentic AI Engineer Position Location - Pittsburgh, PA ; Dallas, TX ; Cleveland, OH Duration - Direct Hire Employment Type - No C2C or third party vendors at this time Required qualifications to be ...

System One

Agentic AI Engineer

Pittsburgh, PA · On-site

Agentic AI Engineer Position Location - Pittsburgh, PA ; Dallas, TX ; Cleveland, OH Duration - Direct Hire Employment Type - No C2C or third party vendors at this time Required qualifications to be ...

Exavalu

Principal Agentic AI Engineer

California, MO · On-site

$140 - $200/hr

Overview We are seeking an experienced Agentic AI Technical Lead to lead a high-impact Agentic AI SWAT Pod responsible for delivering next-generation AI solutions across strategic business use cases.

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How much do agentic ai jobs pay per hour?

As of Aug 22, 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.

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.

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.

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.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are in demand in industries like technology, robotics, and automation. Careers in this field typically require skills in machine learning, programming, and data analysis, and can offer growth opportunities as AI technology advances.

What type of jobs are in agentic AI?

Jobs in agentic AI involve developing, training, and deploying autonomous AI systems that can perform tasks independently, such as AI research scientist, machine learning engineer, AI software developer, and data scientist. These roles typically require skills in programming, machine learning frameworks, and understanding of AI ethics and safety protocols.
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States with the most job openings for Agentic Ai jobs include:

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agentic ai jobs near you
Infographic showing various Agentic Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $136,810 per year, or $65.8 per hour.

Agentic AI Engineer

Fervo Energy Company

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

Job Type
Full-time
Description
Fervo is building the most cost-effective, repeatable geothermal power plants in the world. Scaling that mission requires AI-native capabilities that drive measurable impact across drilling, completions, production, geophysics, and power plant operations. The Agentic AI Engineer, within the Data & AI team, designs and ships agentic workflows that turn unstructured knowledge and structured operational data into autonomous capabilities for engineers, operators, and decision-makers in the field.
The Agentic AI Engineer owns the end-to-end delivery of agentic AI use cases - from problem framing and architecture, through prototyping, evaluation, deployment, and iteration in production. Working across Data Engineering, IT Infrastructure, domain SMEs, and business stakeholders, this role establishes reusable patterns for retrieval, semantic grounding, tool integration, and agent orchestration on top of our Azure, Databricks, and Snowflake stack. Success requires strong hands-on engineering depth, sound architectural judgment, and pragmatism about what to ship versus what to defer.
Requirements
Responsibilities
Agentic Workflow Design & Delivery
  • Design and deploy end-to-end agentic AI workflows using planner-worker, orchestrator-executor, multi-agent, and RAG-based architectures
  • Build reusable components and reference patterns for tool routing, state management, error handling, and human-in-the-loop checkpoints
  • Implement robust retrieval pipelines (hybrid search, vector + keyword, graph-aware retrieval) over technical documents, historian data, and operational records
  • Translate domain problems from drilling, completions, production, geophysics, and power plant operations into well-scoped agentic use cases with clear success metrics

Semantic Grounding & Knowledge Integration
  • Build and maintain a semantic layer over our data lake and warehouse using Snowflake Semantic Views and Databricks Unity Catalog Metric Views, making business concepts queryable by both humans and agents
  • Develop and curate knowledge graphs that connect domain entities (wells, pads, assets, equipment, events, documents) and serve as grounding context for LLM reasoning
  • Standardize how agents access enterprise data through Model Context Protocol (MCP) servers and equivalent integration patterns

Evaluation, Observability & Production Operations
  • Establish agent evaluation frameworks including golden datasets, automated regression tests, and structured evals for accuracy, faithfulness, and tool-use correctness
  • Implement tracing, logging, and observability across agent runs to support debugging, cost monitoring, and continuous improvement
  • Build feedback loops that capture user input and convert it into eval cases and prompt/system improvements
  • Support production incidents and platform-level issues impacting deployed agents

Deployment & Enablement
  • Deploy agents as production services on our Azure-native stack (App Service, Container Apps, Functions) with Entra ID SSO, Key Vault-managed secrets, and proper cost controls
  • Build lightweight UIs (Streamlit, Gradio, or React) for agentic applications and internal tools
  • Lead design reviews and cross-functional enablement sessions on agentic AI patterns and best practices

Qualifications
Required
  • Bachelor's or Master's degree in Computer Engineering or Data Science preferred.
  • 2+ years of hands-on experience building and deploying agentic AI or LLM-powered applications in production, not just prototypes or notebooks
  • Strong Python skills, including async patterns, API design with FastAPI, and writing testable, maintainable production code
  • Demonstrated experience with at least one major agent framework: LangChain/LangGraph, LlamaIndex, AutoGen, or Semantic Kernel
  • Working knowledge of LLM APIs and SDKs (Anthropic Claude, OpenAI, Azure OpenAI), including tool use/function calling, structured outputs, streaming, and prompt engineering
  • Experience implementing RAG architectures with vector databases (Azure AI Search, pgvector, Pinecone, Weaviate, Chroma, or similar) and embedding models
  • Experience with agent orchestration patterns including multi-step planning, tool routing, state management, and graceful failure handling
  • Familiarity with Model Context Protocol (MCP) or equivalent standards for tool and context integration
  • Cloud deployment experience on Azure (App Service, Container Apps, Functions, Key Vault, Entra ID), or equivalent in AWS/GCP with willingness to work in our Azure-first environment
  • Strong Git and CI/CD experience, including version control discipline, code review, and automated testing
  • Experience with containerization (Docker) and infrastructure-as-code (Terraform preferred)
  • Strong observability and production operations skills, including structured logging, tracing, cost monitoring, and runbook development

Preferred
  • Experience designing or working with semantic models and semantic layers - Snowflake Semantic Views, Databricks Metric Views, dbt Semantic Layer, Cube, or Power BI semantic models
  • Hands-on experience with knowledge graphs: graph databases (Neo4j, Azure Cosmos DB Gremlin), RDF/SPARQL, ontology design, or graph-augmented RAG
  • Experience with agent evaluation tooling such as LangSmith
  • Experience with our broader data stack: Databricks, Snowflake, Azure Data Lake Storage (ADLS), Azure Data Factory
  • Oil and gas or energy industry experience, including familiarity with drilling, completions, production, geophysics, or industrial historian data
  • Background in time-series data, signal processing, or industrial IoT (MQTT, OPC UA, SparkplugB)

Experience with multimodal models for handling well logs, schematics, or scanned reports
Location
Fervo Energy is headquartered in Houston, TX, with growing offices in Golden, CO, Reno, NV, and Oakland, CA, and Salt Lake City, UT. This position will be eligible for some hybrid work flexibility, but regular in-office presence at the Golden or Houston office will be required
Compensation & Benefits
Fervo provides a comprehensive suite of benefits including medical, dental, vision, life, short-term and long-term disability, flexible paid time off, and paid parental leave. Additionally, Fervo offers an incentive stock options program, a bonus incentive program, and a 401(k) plan with an employer match.
Fervo Energy is providing the compensation range and general description of other compensation and benefits that the company in good faith believes it might pay and/or offer for this position based on the successful applicant's education, experience, knowledge, skills, and abilities in addition to internal equity and geographic location. Expected Salary: $103,152 - $158,588 based on location and experience.
Fervo Energy reserves the right to ultimately pay more or less than the posted range and offer other compensation, depending on circumstances not related to an applicant's sex or other status protected by local, state, or federal law.

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