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Ai System Architect Jobs in Spring, TX (NOW HIRING)

Cnpcusa

AI Solutions Architect

Houston, TX · On-site

$120 - $160/hr

CNPC USA is seeking a highly experienced AI Solutions Architect to lead the design, prototyping ... scalable AI system architectures, decision‑support tools, digital workflows, and ...

Benchmark Insurance Group

AI Workflow Architect

Houston, TX · Remote

$60.25 - $79.25/hr

AI Workflow Architect (Automation + Systems Builder) Location: Remote (U.S. preferred) | Based in Texas (Dallas/Houston a plus) Type: Contract Full-Time (for the right person) The Opportunity We're ...

Benchmark Insurance Group

AI Workflow Architect

Houston, TX · On-site

$60.25 - $79.25/hr

AI Workflow Architect (Automation + Systems Builder) Location: Remote (U.S. preferred) | Based in Texas (Dallas/Houston a plus) Type: Contract → Full-Time (for the right person) ⸻ The Opportunity ...

Marencor

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Position: Gen AI/ML Solution Architect Location: Houston, TX - (5 days onsite per week) Notes ... Design and implement advanced NLP systems using state-of-the-art models (BERT, ELMO, word2vec) for ...

Deloitte

Google AI Architect

Houston, TX · On-site

Implement security and governance for AI/ML systems (data privacy, model poisoning, adversarial attacks); apply Gemini safety features and enterprise guardrails. Responsibilities include: * Architect ...

Koch Industries

AI Architect

Houston, TX · On-site

$60.25 - $79.25/hr

... systems (e.g., Azure AI Search, pgvector, Pinecone) • Experience with AI orchestration and agent frameworks (LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar) • Familiarity with ...

Resource Consultings Services Inc

AI Architect IV

Houston, TX · On-site

$60.75 - $79/hr

AI Architect IV Location: Downtown Houston, TX (Hybrid) Duration: 12+ month Onsite Interview Key ... systems. * Leverage Azure AI Search, vector databases, Semantic Kernel, and Retrieval-Augmented ...

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All JobsAi System Architect JobsAi System Architect Jobs in Spring, TX

Ai System Architect information

See Spring, TX salary details

$77K

$199.6K

$216.7K

How much do ai system architect jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ai system architect in Spring, TX is $199,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $216,200.00 and $216,200.00 per year, depending on experience, location, and employer.

What is an AI system architect?

AI System Architects are professionals who design, plan, and oversee the development of artificial intelligence systems within organizations. They are responsible for creating the overall architecture for AI solutions, ensuring that different technologies, algorithms, and data sources work together seamlessly. AI System Architects collaborate with data scientists, engineers, and business stakeholders to implement scalable and effective AI-driven products and services. Their role often includes evaluating new technologies, setting best practices, and ensuring the security and scalability of AI systems.

How does an AI system architect typically collaborate with data scientists and engineers during a project?

An AI System Architect works closely with data scientists to understand the requirements and constraints of AI models and ensures that system infrastructure supports their needs. They collaborate with engineers to design scalable, robust architectures and oversee the integration of AI components into existing systems. Regular communication and joint problem-solving are essential, as architects bridge the gap between high-level AI goals and practical implementation, often facilitating technical discussions and making critical design decisions.

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

To thrive as an AI System Architect, you need a deep understanding of machine learning, distributed systems, data engineering, and typically a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, GCP, or Azure), AI frameworks (such as TensorFlow or PyTorch), and experience with system design are essential, along with relevant certifications. Strong problem-solving skills, strategic thinking, and effective communication set top candidates apart. These skills ensure the architect can design scalable, efficient, and robust AI solutions that align with business objectives and technical requirements.

What is the difference between Ai System Architect vs Data Scientist?

AspectAi System ArchitectData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; certifications in AI/MLBachelor's or master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDesigning AI systems, collaborating with engineers, focusing on architectureAnalyzing data, building models, interpreting results
Employer & Industry UsageTech companies, AI-focused firms, R&D departmentsTech, finance, healthcare, marketing, research organizations

While both roles require knowledge of AI and ML, an Ai System Architect primarily designs and oversees AI system architecture, ensuring integration and scalability. In contrast, a Data Scientist focuses on analyzing data, building models, and deriving insights. The roles often collaborate but differ in their core responsibilities and focus areas.

How do you become an AI system architect?

To become an AI system architect, one typically needs a strong background in computer science, software engineering, or related fields, along with expertise in artificial intelligence, machine learning, and system design. Gaining experience through relevant projects, obtaining certifications in AI or cloud platforms, and developing skills in programming languages like Python and tools such as TensorFlow or PyTorch are also important steps.

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

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

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

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

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

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

Ai System Architect jobs near you
Infographic showing various Ai System Architect job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $199,632 per year, or $96 per hour.

AI System Analyst (AI Monte Carlo)

Saransh Inc

Houston, TX • On-site

Contractor

Re-posted 14 days ago

Job description

Role: AI System Analyst (AI Monte Carlo)
Client address: Houston, TX (Hybrid)
Contract
 
Experience Required: 10-12 years
 
Mandatory skills:
  • AI Monte Carlo
  • Python
     
Key Responsibilities:
  • Solution Architecture: Design and implement advanced Monte Carlo simulation frameworks to solve complex probabilistic problems (e.g., risk assessment, optimization, or predictive forecasting).
  • Client Engagement: Lead discovery sessions with clients to extract and define technical requirements from high-level business goals.
  • Cross-Functional Collaboration: Serve as the primary technical liaison between functional business units and core engineering teams to ensure alignment on deliverables.
  • End-to-End Delivery: Own the full lifecycle of AI development—from algorithmic design and data modeling to deployment and performance tuning.
  • Mentorship & Leadership: Provide technical guidance to junior/mid-level developers while maintaining the self-sufficiency to handle critical individual contributor tasks in agile environments.
Technical Qualifications:
  • Core AI & Math: Expert knowledge of Monte Carlo methods (MCMC, Sequential Monte Carlo, Quasi-Monte Carlo) and their application in AI/ML environments.
  • Programming: Mastery of Python or C++ (high-performance computing experience is a major plus).
  • Infrastructure: Solid understanding of cloud-based AI deployment (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
  • Strategic Thinking: 10+ years of experience navigating the trade