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Claude Jobs in Spring, TX (NOW HIRING)

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Claude (including Claude Opus models) * Claude Code CLI * Project Bob * AI-assisted code generation, debugging, documentation and refactoring workflows We're looking for engineers who view AI as a ...

They build agentic AI coding workflows, implement AI assisted SDLC tooling like Claude Code / Cursor /Codecs and run technical enablement programs that change how engineering teams shift traditional ...

Design Expert - Remote

Houston, TX · On-site +1

$30 - $70/hr

Develop tasks involving AI coding tools such as Cursor, Claude Code, v0, and Replit . * Create Design-track tasks using Figma, Framer, prototyping tools, and design-system platforms . * Apply prompt ...

Showing results 21-40

Claude information

See Spring, TX salary details

$16K

$79.2K

$129K

How much do claude jobs pay per year?

As of Sep 10, 2026, the average yearly pay for claude in Spring, TX is $79,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $108,600.00 per year, depending on experience, location, and employer.

What is a Claude?

Claude jobs typically refer to roles related to working with Claude, an artificial intelligence chatbot developed by Anthropic. These jobs can include positions such as AI prompt engineers, machine learning researchers, data scientists, product managers, and customer support specialists who focus on optimizing and deploying Claude for users. Individuals in these roles may work on improving the chatbot's capabilities, ensuring ethical AI use, and supporting its integration across various platforms. The demand for Claude-related jobs has grown as businesses seek to leverage advanced conversational AI solutions.

What skills and qualifications are needed to thrive as a Claude AI engineer?

To thrive as a Claude AI Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree or equivalent experience. Familiarity with programming languages such as Python, deep learning frameworks like TensorFlow or PyTorch, and cloud computing platforms is typically required. Creative problem-solving, collaboration, and effective communication are essential soft skills for working with cross-functional teams and translating complex research into practical solutions. These skills and qualities are crucial for developing, optimizing, and deploying advanced AI systems that meet real-world needs.

How does a machine learning engineer typically collaborate with data scientists and software developers on AI projects?

Machine Learning Engineers often work closely with data scientists to translate experimental models into scalable, production-ready solutions. While data scientists focus on data exploration and developing prototypes, ML Engineers are responsible for optimizing code, implementing robust data pipelines, and ensuring models can be deployed efficiently. Collaboration with software developers is also essential to integrate machine learning models into broader applications, ensuring seamless user experiences and system reliability. Regular cross-functional meetings and agile workflows help align project goals and address challenges collaboratively.

What is the difference between Claude vs Chatbot Developer?

AspectClaudeChatbot Developer
Required CredentialsAI/ML certifications, programming skillsProgramming, AI, UX/UI design
Work EnvironmentAI research labs, tech companiesSoftware companies, startups
Industry UsageAI language models, NLP projectsCustomer service bots, conversational apps

Claude and Chatbot Developer roles both involve AI and programming skills, but Claude typically refers to AI language models or systems, while Chatbot Developers focus on creating conversational interfaces. Claude professionals work more on AI model development, whereas Chatbot Developers design and implement user-facing chatbots. Both roles are essential in AI and tech industries, but their focus areas differ based on the project scope and end-user interaction.

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

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

What cities near Spring, TX are hiring for Claude jobs?

Cities near Spring, TX with the most Claude job openings:

Infographic showing various Claude job openings in Spring, TX as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 70% Physical, 7% Hybrid, and 23% Remote job distribution, with an average salary of $79,172 per year, or $38.1 per hour.

Software Engineer III - Full-stack Developer with Anthropic Experience

Houston, TX • On-site

Deloitte
Finance and Insurance • 10K+ employees

Full-time

Posted 5 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz


Job description

Software Engineer III with Agentic AI Experience, AI & Engineering/Engineering as a Service

Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations.

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 11/1/2026.

Work you'll do

As a Senior Consultant, Software Engineer III, AI & Engineering on the Engineering as a Service team, you will be responsible for designing, building, and delivering full-stack software and AI-enabled solutions for client engagements.

  • Architect, design and implement scalable full-stack features across front-end and back-end systems.
  • Design and operationalize RESTful and asynchronous APIs on cloud-native infrastructure (AWS, Azure or GCP), including containerized workloads, CI/CD pipelines, and infrastructure-as-code.
  • Lead end-to-end delivery of complex features from requirements gathering through deployment and monitoring.
  • Integrate large language model platforms and generative artificial intelligence application programming interfaces, including Anthropic Claude, to deliver context-aware features, retrieval-augmented generation pipelines, tool-calling workflows, and automation solutions.
  • Collaborate with product managers, designers, and engineers to translate requirements into technical solutions, estimate work, and contribute to code reviews.
  • Troubleshoot defects, improve application performance, write automated tests, and support production readiness activities, including incident response and on-call rotations.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Qualifications

Required:

  • 6+ years of professional software engineering experience with a focus on full-stack development, including 3+ years of full system lifecycle development from requirements through production deployment.
  • 4+ years of experience designing, developing and delivering AI/ML solutions
  • At least 1 year of direct experience designing or implementing production agentic workflows involving capabilities such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls
  • At least 1 year of hands-on experience developing agentic AI solutions using Claude Agent SDK including agent orchestration, tool integration, permissions or MCP integrations
  • At least 1 year of hands-on experience developing and deploying production solutions using Anthropic Claude models
  • At least 1 year of experience applying prompt engineering, context engineering, structured outputs and related techniques to improve the performance, reliability and usability of AI solutions
  • 1+ years of experience leading project workstreams or engagement, translating business problems into AI solutions and delivering measurable outcomes
  • 4+ years of hands-on full-stack development experience using at least one back-end language such as Python, Java, .NET, Go, or Node.js and at least one modern front-end framework such as React, Angular, or Vue.js.
  • 4+ years of experience in a client-facing development role, including 2+ years building and consuming Representational State Transfer (REST) and/or GraphQL application programming interfaces.
  • Experience with at least one major cloud platform, including Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and one year of hands-on experience integrating Anthropic Claude application programming interfaces into software applications in a commercial setting.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or another technical field, or equivalent professional experience.
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience with Docker and Kubernetes.
  • Experience with continuous integration/continuous deployment pipelines and DevOps practices.
  • Experience working in an Agile/Scrum environment using tools such as Jira or Linear.
  • Contributions to open-source projects or a portfolio demonstrating software development work.
  • Industry-recognized cloud certifications such as AWS Certified Developer, Azure Developer Associate, or Google Cloud Professional Developer.
  • Experience using Claude Cowork to support enterprise workflows, automation, research or other knowledge-work cases
  • Hands-on experience using Claude through one of more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Software Engineer III with Agentic AI Experience, AI & Engineering/Engineering as a Service

Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations.

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 11/1/2026.

Work you'll do

As a Senior Consultant, Software Engineer III, AI & Engineering on the Engineering as a Service team, you will be responsible for designing, building, and delivering full-stack software and AI-enabled solutions for client engagements.

  • Architect, design and implement scalable full-stack features across front-end and back-end systems.
  • Design and operationalize RESTful and asynchronous APIs on cloud-native infrastructure (AWS, Azure or GCP), including containerized workloads, CI/CD pipelines, and infrastructure-as-code.
  • Lead end-to-end delivery of complex features from requirements gathering through deployment and monitoring.
  • Integrate large language model platforms and generative artificial intelligence application programming interfaces, including Anthropic Claude, to deliver context-aware features, retrieval-augmented generation pipelines, tool-calling workflows, and automation solutions.
  • Collaborate with product managers, designers, and engineers to translate requirements into technical solutions, estimate work, and contribute to code reviews.
  • Troubleshoot defects, improve application performance, write automated tests, and support production readiness activities, including incident response and on-call rotations.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Qualifications

Required:

  • 6+ years of professional software engineering experience with a focus on full-stack development, including 3+ years of full system lifecycle development from requirements through production deployment.
  • 4+ years of experience designing, developing and delivering AI/ML solutions
  • At least 1 year of direct experience designing or implementing production agentic workflows involving capabilities such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls
  • At least 1 year of hands-on experience developing agentic AI solutions using Claude Agent SDK including agent orchestration, tool integration, permissions or MCP integrations
  • At least 1 year of hands-on experience developing and deploying production solutions using Anthropic Claude models
  • At least 1 year of experience applying prompt engineering, context engineering, structured outputs and related techniques to improve the performance, reliability and usability of AI solutions
  • 1+ years of experience leading project workstreams or engagement, translating business problems into AI solutions and delivering measurable outcomes
  • 4+ years of hands-on full-stack development experience using at least one back-end language such as Python, Java, .NET, Go, or Node.js and at least one modern front-end framework such as React, Angular, or Vue.js.
  • 4+ years of experience in a client-facing development role, including 2+ years building and consuming Representational State Transfer (REST) and/or GraphQL application programming interfaces.
  • Experience with at least one major cloud platform, including Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and one year of hands-on experience integrating Anthropic Claude application programming interfaces into software applications in a commercial setting.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or another technical field, or equivalent professional experience.
  • Ability to travel 50%, on ...

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