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

We have the experience, knowledge, and flexibility to design service offerings and create system ... We are currently looking for an AI Strategist, Technical Architect for our Houston, TX office.

We have the experience, knowledge, and flexibility to design service offerings and create system ... We are currently looking for an AI Strategist, Technical Architect for our Houston, TX office.

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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:

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.

Enterprise AI Solutions Architect

Alvarez & Marsal

Houston, TX • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 19 days ago


Alvarez & Marsal rating

7.2

Company rating: 7.2 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

51st of 72 rated business consultants


Job description

Description
About Alvarez & Marsal
Alvarez & Marsal (A&M) is a global consulting firm with entrepreneurial, action- and results-oriented professionals. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact on our clients and shape our industry.
The collaborative environment and engaging work-guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity-are why our people love working at A&M.
The Team
A&M is seeking an Enterprise AI Solutions Architect to sit at the intersection of enterprise architecture, AI engineering, product, and practical technology delivery. This role will be responsible for designing and delivering scalable, secure, AI-enabled solutions that help the organization move faster, eliminate manual work, and drive measurable business outcomes.
This is a senior technical architecture role that is approximately 50% hands-on. The successful candidate will not only define solution architecture and technical direction but will also actively participate in building, prototyping, coding, integrating, and troubleshooting solutions.
The Enterprise AI Solutions Architect will work closely with product managers, business stakeholders, internal development teams, and external development partners to translate business requirements into scalable technical architectures and production-ready solutions.
The role will provide technical leadership to internal and offshore development teams while remaining directly involved in development and implementation. Strong architecture expertise, hands-on engineering capabilities, organizational skills, and the ability to communicate effectively with both technical and non-technical stakeholders are essential.
How You Will Contribute
Solution Architecture & Technical Strategy
Own the end-to-end architecture of enterprise AI and technology solutions across frontend applications, backend services, APIs, data platforms, AI services, integrations, and Azure cloud infrastructure.
Translate business and product requirements into scalable, secure, maintainable solution architectures and define the technical roadmap required to move solutions from concept through production.
Develop architecture diagrams, solution designs, integration patterns, data flows, technical specifications, and implementation approaches that provide clear direction to development teams.
Hands-On Architecture & Development - Approximately 50%
  • Maintain significant hands-on involvement throughout the development lifecycle, spending approximately 50% of the role actively hands on - designing, building, prototyping, coding, integrating, leading developers and troubleshooting solutions.
  • Develop proofs of concept and production components, particularly for complex AI, integration, API, and cloud architecture challenges.
  • Work directly with developers on- and off-shore to solve difficult technical problems, review and improve code, validate architectural approaches, and ensure that architecture decisions translate effectively into working software.
AI Solution Architecture
  • Architect and develop enterprise AI solutions using Azure, Generative AI, Agentic AI, LLMs, Retrieval-Augmented Generation (RAG), vector databases, embeddings, orchestration frameworks, APIs, and related technologies.
  • Evaluate AI technologies, frameworks, platforms, and architectural approaches and determine the appropriate solution based on business requirements, scalability, security, performance, maintainability, and cost.
  • Design AI solutions that can move successfully from proof of concept into secure, reliable, enterprise-scale production environments.
Key Functions:
  • Product & Business Partnership
  • Technical Leadership & Delivery
  • Engineering Standards & Governance
  • Stakeholder Communication
  • Problem Discovery & Innovation
  • Team Leadership
Qualifications
  • 10+ years of software engineering, solution architecture, or full-stack development experience, including at least 6 years as a Solution Architect, Enterprise Architect, Technical Architect, or comparable senior technical role.
  • Demonstrated ability to operate as a hands-on architect, with current technical skills and the ability to spend approximately 50% of the role designing, coding, prototyping, integrating, and troubleshooting solutions.
  • Deep experience designing and deploying enterprise solutions within Microsoft Azure.
  • Generative AI and/or Agentic AI technologies and architectures
  • Hands-on experience building AI-powered applications using technologies such as LLMs, RAG architectures, vector databases, embeddings, AI agents, orchestration frameworks, and modern AI SDKs.
  • Demonstrated experience designing distributed systems, scalable integrations, APIs, event-driven architectures, and multi-team delivery models.
  • Strong understanding of enterprise architecture principles including scalability, security, reliability, resiliency, observability, maintainability, and performance.
  • Experience taking AI solutions from proof of concept through enterprise production deployment.
  • Proven experience providing technical leadership to internal, offshore, and/or external development teams.
  • Strong understanding of software engineering practices including source control, code review, automated testing, CI/CD, DevOps, monitoring, and production support.
  • Demonstrated ability to work directly with product managers and business stakeholders from discovery and requirements gathering through architecture, implementation, and production delivery.
  • Exceptional communication and interpersonal skills, with the ability to communicate complex architecture and technology concepts clearly to technical teams, business leaders, and executives.
  • Demonstrated ability to operate effectively in ambiguous environments and establish structure and technical direction where requirements are not fully defined.
  • Knowledge of enterprise identity and security standards including SSO, SAML, OAuth/OIDC, role-based access controls, audit logging, data protection, and compliance controls.
  • Experience managing or providing technical direction to offshore development teams is strongly preferred.
Your journey at A&M
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person's unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.
Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdings' fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez & Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Click here for more information regarding A&M's benefits programs.
The salary range is $195,000- $230,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.

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