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Junior Ai Developer Jobs in Spring, TX (NOW HIRING)

Work directly with client engineering, data, and IT/OT teams to understand system constraints and ... Mentor junior technical talent and contribute to technical hiring and practice development * Share ...

Design and implement AI-enabled solutions and agents, including agent orchestration, automation ... Provide technical leadership, code reviews, mentoring, and guidance on best practices to junior ...

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Mentor junior team members. * Data Scientist: 2 or more years of data science/predictive analytics ...

AWS DevOps/Platform Engineer

Houston, TX ยท On-site

$50.25 - $69/hr

... for AI, Data Science, and Application engineering workloads. You will work under minimal ... Mentor mid-level/junior engineers. Requirements * 5+ years working in the AWS ecosystem as a DevOps ...

... junior team members and fostering a collaborative work environment What You Must Have - At least a ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

New

Guidewire Architect

Houston, TX ยท On-site

$60.25 - $79.25/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... Lead teams and mentor junior practitioners across workstreams, stakeholder interactions, and issue ...

... junior staff * Master's degree from a science, technology, engineering, or mathematics-designated ... Overseeing AI solution development and deployment, managing day-to-day client relationships, and ...

Guidewire Architect

Houston, TX ยท On-site

$58 - $75.50/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... junior team members. A successful candidate would possess these skills: * Ability to work ...

Showing results 41-60

Junior Ai Developer information

See Spring, TX salary details

$21.4K

$79.2K

$122.4K

How much do junior ai developer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for junior ai developer in Spring, TX is $79,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $77,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior AI developer?

To thrive as a Junior AI Developer, you need a solid understanding of programming languages such as Python or Java, fundamental knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch and version control systems such as Git are commonly expected, and certifications in AI or data science are advantageous. Strong problem-solving abilities, attention to detail, eagerness to learn, and effective teamwork and communication skills help set candidates apart. These skills are vital for building, testing, and improving AI models while collaborating productively within dynamic development teams.

What is a junior AI developer?

A Junior AI Developer is an entry-level role focused on assisting in the development, testing, and deployment of AI models and applications. Responsibilities typically include data preprocessing, writing code for machine learning algorithms, optimizing models, and integrating AI solutions into products. They work closely with senior developers and data scientists to gain experience in AI frameworks, programming languages like Python, and cloud-based AI services.

What does a junior AI developer do?

As a Junior AI Developer, your daily tasks may include coding machine learning algorithms, prepping and cleaning datasets, assisting with running experiments, and documenting your work for team review. You'll likely collaborate closely with data scientists, senior developers, and project managers to ensure seamless integration of AI solutions into applications. Regular responsibilities also include participating in team meetings, troubleshooting bugs, and continuously learning about emerging AI trends and best practices. This hands-on experience helps deepen your technical skills, and working with experienced colleagues offers valuable mentorship and growth opportunities.

What are the most commonly searched types of Ai Developer jobs in Spring, TX? The most popular types of Ai Developer jobs in Spring, TX are:
What are popular job titles related to Junior Ai Developer jobs in Spring, TX? For Junior Ai Developer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Junior Ai Developer jobs in Spring, TX look for? The top searched job categories for Junior Ai Developer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Junior Ai Developer jobs? Cities near Spring, TX with the most Junior Ai Developer job openings:

Applied AI Lead

Sia

Houston, TX โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Company Description
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We're optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.
Strategy & Management Consulting
Sia's Strategy & Management Consulting global footprint and expertise in more than 40 sectors and services allow us to enhance our clients' businesses worldwide. We guide their projects and initiatives in strategy, business transformation, IT & digital strategy.
Sia supports Energy & Utilities, Transportation, and Industrials in driving transformation, innovation, and competitiveness. Since 2000, we have guided energy companies (oil & gas and utilities), transportation, industrial and processes manufacturing leaders through growth strategies, business transformation, digital modernization, energy transition, regulatory challenges, application of AI technologies, and Industry 4.0 advancements. Our industry subject matter experts help our clients to adapt, innovate, and lead in an evolving landscape.
Job Description
We're looking for an Applied AI Lead to join Sia's ETI practice and help clients move AI, automation, and agent-based workflows from idea to working production systems.
This is a hands-on technical role. You will personally build, prototype, and ship AI-enabled solutions inside client environments, often bridging modern AI tooling with the operational technology (OT) and legacy IT systems common in energy, transportation, and industrial settings. You'll partner closely with our AI Transformation Managers, who own the business case and stakeholder relationships, so you can focus on what you do best: building things that actually work in production, not just in a demo.
You'll join a growing ETI technical team, working day to day alongside AI Transformation Managers and Sia's broader Data & AI colleagues on live client engagements.
What You'll Do
Build & Ship AI Solutions
  • Design, prototype, and build AI agents, copilots, and automation workflows directly inside client systems
  • Write production-quality code to move solutions from pilot to scaled deployment
  • Integrate AI tooling with clients' existing data platforms, applications, and, where relevant, operational technology (OT) environments
  • Own technical delivery of assigned workstreams end to end, including testing, iteration, and hand-off to client teams

Bridge Business and Technical Teams
  • Partner with AI Transformation Managers to translate business requirements into technical specifications and delivery plans
  • Work directly with client engineering, data, and IT/OT teams to understand system constraints and integration paths
  • Translate technical trade-offs and constraints back into plain language for business stakeholders

Solve for Production, Not Just Pilots
  • Evaluate emerging AI platforms, frameworks, and tools for practical fit within client environments, where legacy, high-reliability, or safety-critical systems are often the norm
  • Build monitoring, evaluation, and guardrails so solutions perform reliably once in production
  • Troubleshoot and resolve technical issues that arise during pilot and scale phases

Contribute to the Practice
  • Build reusable technical accelerators, code libraries, and reference architectures for the ETI practice
  • Mentor junior technical talent and contribute to technical hiring and practice development
  • Share learnings across engagements to shorten build time on future projects

Qualifications
Required
  • 5-8+ years of experience building and shipping software or AI/ML solutions, including production deployment
  • Hands-on experience building with Generative AI: LLMs, AI agents, copilots, retrieval-augmented generation (RAG), or workflow automation platforms; you should be able to speak to code you've written, not just tools you've used
  • Proficiency in Python or another relevant language, plus experience with common AI/ML frameworks and at least one major cloud platform (AWS, Azure, or GCP)
  • Experience integrating AI solutions with existing enterprise systems, data platforms, or industrial/OT environments
  • Comfort working directly with client technical teams, including engineers, data teams, and IT/OT staff
  • Ability to explain technical work and trade-offs to non-technical stakeholders
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent hands-on experience

Preferred
  • Experience serving clients in Energy & Utilities, Transportation & Logistics, Manufacturing, or Industrial Products, especially where OT/IT integration was part of the work
  • Experience with AI platforms and frameworks such as OpenAI, Anthropic Claude, LangChain, LlamaIndex, AWS Bedrock, or Azure AI
  • Experience in a consulting or client-facing technical delivery role
  • Familiarity with DevOps/MLOps practices such as CI/CD, monitoring, or model evaluation

Additional Information
Sia invests in total rewards that support how our people work, live, and grow.
Compensation
  • Annual Base Salary Ranges, commensurate with experience and qualifications, geographic location, and other job-related factors permitted by applicable law.
    • Associate Manager Level: $122,400 - $127,500
    • Manager Level: $130,000 - $150,000
  • Annual Performance Bonus

Benefits
  • Medical, dental, and vision; company-paid life and AD&D; voluntary supplemental insurance and EAP
  • 401(k) with company match and immediate vesting; HSA and FSA options
  • College savings and student loan repayment programs
  • Paid parental leave; generous PTO, nine company holidays, and one floating holiday
  • Cell phone stipend; well-being and professional development programs

Benefits are subject to applicable plan terms and eligibility requirements.
Workplace
Sia values in-person collaboration. When serving clients, consultants may be required to work onsite at a client location based on engagement needs. Between client engagements, consultants are expected to work from a Sia office or approved coworking location at least three days per week. Candidates should reside within a reasonable commuting distance of a Sia office or approved coworking location. Sia maintains offices and coworking arrangements across multiple U.S. markets, including New York City, Charlotte, Greater Seattle, San Francisco Greater Bay Area, Los Angeles, Houston, Atlanta, Baltimore, Chicago, Washington D.C.
Work Authorization
Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future.
Our Commitment
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.