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Agentic Ai Jobs in Spring, TX (NOW HIRING)

Addison Group

AI Developer

The Woodlands, TX · On-site

$100K - $120K/yr

Agentic AI: Experience building and orchestrating single‑agent and multi‑agent systems, including prompt engineering, RAG pipelines, and agent decision logic. * Integration Development:

Tyndale

AI Automation Engineer

Houston, TX · On-site

Develop AI Agents and Agentic AI solutions within platform-based environments to retrieve context, execute tasks, orchestrate multi-step workflows, and involve human approvals when needed * Create ...

Tyndale

AI Automation Engineer

Houston, TX · Hybrid

Develop AI Agents and Agentic AI solutions within platform-based environments to retrieve context, execute tasks, orchestrate multi-step workflows, and involve human approvals when needed * Create ...

Hexagon AB

Principal AI/ML Software Engineer

Houston, TX · On-site

$128K - $172K/yr

Remote Req Id: 2909 Responsibilities Position Overview We are seeking a motivated AI/ML Engineer to build reliable, scalable systems and Generative AI and Agentic AI features, and build and deploy ...

Forum Energy Technologies

AI Architect

Houston, TX · On-site

$60.75 - $78.25/hr

Responsibilities : • Design, develop, and deploy agentic AI systems that autonomously execute multi-step workflows across business functions (e.g., IT, HR, Finance, Operations). • Collaborate ...

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All JobsAgentic Ai JobsAgentic Ai Jobs in Spring, TX

Agentic Ai information

See Spring, TX salary details

$31

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How much do agentic ai jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for agentic ai in Spring, TX is $58.53, according to ZipRecruiter salary data. Most workers in this role earn between $40.43 and $88.99 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.

How to start a career in agentic AI?

To start a career in agentic AI, develop strong skills in artificial intelligence, machine learning, and programming languages such as Python. Gaining experience through relevant projects, internships, or certifications in AI and automation tools can improve job prospects in this field.

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.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are growing in demand across industries such as technology, healthcare, and finance. Careers in this field typically require skills in machine learning, programming, and data analysis, and may involve working with AI frameworks and tools. The field offers opportunities for innovation and specialization but also requires ongoing learning due to rapid technological advancements.

What are popular job titles related to Agentic Ai jobs in Spring, TX?

For Agentic Ai jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Agentic Ai jobs in Spring, TX look for?

The top searched job categories for Agentic Ai jobs in Spring, TX are:

What cities near Spring, TX are hiring for Agentic Ai jobs?

Cities near Spring, TX with the most Agentic Ai job openings:

Agentic Ai jobs near you
Infographic showing various Agentic Ai job openings in Spring, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $121,746 per year, or $58.5 per hour.

Forward Deployed Engineer Agentic AI - On site/hybrid

Talent Search PRO

Houston, TX

$200K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

Job description

Forward Deployed Engineer – Agentic AI


Salary: $200,000 – $250,000 + Bonus

Why This Role?
  • Work on enterprise-scale GenAI and Agentic AI initiatives
  • Exposure to Fortune 2000 AI transformation programs
  • High visibility with executive stakeholders and enterprise clients
  • Strong compensation package with bonus eligibility
  • Medical, dental, vision, 401(k) match, paid parental leave, PTO, and disability coverage
About the Role

Seeking a Forward Deployed Engineer to help enterprise clients design, prototype, and scale GenAI and Agentic AI solutions. This role sits at the intersection of engineering, solution architecture, and executive-facing consulting.

You will work directly with senior business leaders and technical teams to rapidly build proof-of-value solutions, architect scalable AI systems, and accelerate enterprise AI adoption across complex environments.

This is a highly hands-on role focused on shipping real AI systems, not presentations.

Responsibilities
  • Partner with enterprise stakeholders to identify AI opportunities and define measurable business outcomes
  • Build rapid proof-of-value and MVP AI solutions using modern GenAI and agentic frameworks
  • Design scalable AI architectures including orchestration, governance, observability, and security controls
  • Develop AI workflows with tool integrations, enterprise data connectivity, and lightweight user experiences
  • Implement RAG architectures, vector search, retrieval strategies, and evaluation frameworks
  • Integrate AI solutions with enterprise platforms including AWS, Azure, GCP, Salesforce, SAP, ServiceNow, and Microsoft ecosystems
  • Support technical discovery sessions, workshops, demos, and executive presentations
  • Create reusable AI accelerators, templates, evaluation suites, and reference architectures
  • Collaborate with engineering, cloud, product, and delivery teams to transition solutions into production environments
Requirements
  • 8+ years of experience in software engineering, AI engineering, solution architecture, or technical consulting
  • Strong experience building enterprise GenAI or Agentic AI solutions
  • Experience with LLM orchestration, tool-calling, planning workflows, and human-in-the-loop systems
  • Hands-on experience with RAG pipelines, vector databases, embeddings, and retrieval evaluation
  • Strong full-stack engineering fundamentals including APIs, integrations, distributed systems, and cloud-native architectures
  • Proficiency in Python and at least one additional language such as TypeScript, Java, or Go
  • Experience with AWS, Azure, or GCP environments
  • Familiarity with CI/CD, containers, observability, and AI governance concepts
  • Strong communication skills with the ability to engage executive stakeholders
  • Bachelor’s degree required
Preferred Background
  • Experience deploying production-grade GenAI systems
  • Consulting or client-facing engineering experience preferred
  • Exposure to AI governance, AgentOps, telemetry, and compliance frameworks
  • Experience within enterprise AI consulting or hyperscaler ecosystems is highly valued
  • Background supporting industries such as financial services, retail, manufacturing, hospitality, or healthcare is a plus
Additional Details
  • Full-time opportunity
  • Bonus eligible
  • Occasional travel required for workshops and client engagements
  • Sponsorship not available
  • Candidates should have fewer than 10 years of total experience preferred by the hiring team