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Ai Accelerator Jobs in Spring, TX (NOW HIRING)

AI enablement and educating development teams on AI fundamentals Experience creating reusable AI accelerators and reference architectures nice to have

Create an enterprise library of approved AI patterns, templates, lessons learned, and accelerators Create Visibility and Alignment * Maintain visibility into AI initiatives, adoption metrics, risks ...

Build reusable technical accelerators, code libraries, and reference architectures for the ETI ... LLMs, AI agents, copilots, retrieval-augmented generation (RAG), or workflow automation platforms ...

Build reusable technical accelerators, code libraries, and reference architectures for the ETI ... LLMs, AI agents, copilots, retrieval-augmented generation (RAG), or workflow automation platforms ...

Cyber AI Security Manager

The Woodlands, TX · On-site +1

$99K - $134K/yr

Help establish reusable AI-enabled cybersecurity accelerators, patterns, and intellectual property that can be deployed across client engagements. Basic Qualifications * Minimum of 7 years ...

Cyber AI Security Manager

Houston, TX · On-site +1

$106K - $143K/yr

Help establish reusable AI-enabled cybersecurity accelerators, patterns, and intellectual property that can be deployed across client engagements. Basic Qualifications * Minimum of 7 years ...

Solutions Architect

Houston, TX · On-site

$60.25 - $79.25/hr

We help clients modernize data foundations, build trusted data products, and apply analytics and AI ... Contribute reusable patterns, accelerators, and standards to Frame's Databricks practice. Required ...

Showing results 21-40

Ai Accelerator information

See Spring, TX salary details

$33.8K

$47K

$59.2K

How much do ai accelerator jobs pay per year?

As of Sep 1, 2026, the average yearly pay for ai accelerator in Spring, TX is $46,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,900.00 and $52,500.00 per year, depending on experience, location, and employer.

What is an AI accelerator?

AI Accelerators are specialized hardware or software systems designed to optimize and speed up artificial intelligence (AI) and machine learning (ML) workloads. They process complex computations required by AI algorithms more efficiently than general-purpose CPUs, enabling faster training and inference for deep learning models. Common examples of AI accelerators include GPUs, TPUs, FPGAs, and dedicated AI chips. These technologies are widely used in data centers, edge devices, and consumer electronics to support applications like image recognition, natural language processing, and autonomous vehicles.

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

To thrive as an AI Accelerator, you need a deep understanding of machine learning algorithms, computer architecture, and parallel computing, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with hardware description languages (HDLs), CUDA, TensorFlow, and specific AI accelerator platforms is typically required. Strong problem-solving abilities, collaboration, and adaptability are essential soft skills for navigating complex projects and interdisciplinary teams. These skills and qualities are crucial for designing, optimizing, and deploying high-performance AI systems that meet real-world demands.

How does an AI accelerator typically collaborate with data scientists and engineering teams on AI projects?

AI Accelerators work closely with both data scientists and engineering teams to bridge the gap between model development and deployment. They often help optimize AI models for efficiency and scalability, ensuring they run effectively on various hardware platforms. Regular collaboration includes reviewing model architectures, suggesting improvements for speed and accuracy, and troubleshooting performance bottlenecks together. This cross-functional teamwork is essential for translating research breakthroughs into robust, real-world AI solutions.

What does an AI accelerator do?

An AI accelerator is a professional who develops and optimizes hardware and software solutions to improve the performance of artificial intelligence models. They often work with specialized hardware like GPUs or TPUs and use programming skills in frameworks such as TensorFlow or PyTorch to enhance AI processing speed and efficiency.

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

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

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

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

ICOE Data & AI Solution Architect with Fabric (Manager / Senior Manager)

Accenture

Houston, TX

Full-time

Re-posted 25 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 499 rated business services


Job description

Our talented Integrated Center of Excellence Data & AI team is made up of globally recognized experts - and there's room for more analytical and ambitious data professionals. If you're passionate about helping clients transform their business with the latest data, analytics, and AI technologies, let's talk.

Role Summary

As an Intelligent Data Platform (IDP) Solution Architect within the Integrated Center of Excellence Data & AI Practice, you will play a senior leadership role in shaping, selling, and delivering enterprise-scale analytics platforms built on Microsoft Fabric. This role spans Manager and Senior Manager levels, combining deep technical leadership, client advisory, pre-sales, and delivery assurance responsibilities.

Using Microsoft Fabric (OneLake, Data Factory, Spark, Warehousing, Real-Time Analytics, and Power BI), Azure services, Databricks, and applied AI, you will help clients modernise analytics estates, unlock insights, and deliver measurable business outcomes. You will also actively contribute to Avanade's Fabric-led data platform strategy, offerings, accelerators, and global go-to-market initiatives.

Key Responsibilities

  • Lead and support high-impact pre-sales pursuits, solution planning, and solution design for Microsoft Fabric-centric opportunities.

  • Shape deals and propositions including architecture, estimates, commercial inputs, roadmaps, and delivery approaches.

  • Act as a trusted advisor to senior client stakeholders, translating complex technical capabilities into clear business value.

  • Provide technical and delivery assurance, intervening in complex or high-risk engagements when required.

  • Define and promote best practices for Microsoft Fabric architecture, governance, security, performance, and cost optimisation.

  • Establish reference architectures, accelerators, reusable patterns, and intellectual property across Fabric workloads.

  • Drive Microsoft partnership engagement, influencing roadmap alignment and joint go-to-market activities.

  • Contribute thought leadership, points of view, and engineering assets to strengthen Avanade's market differentiation.

  • Coach, mentor, and inspire architects and technical leaders across regions, building strong communities of practice.

  • Stay current with emerging Data & AI platform capabilities and integrate innovations into client solutions.

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  • Management Consulting or Systems Integrator experience strongly preferred.

  • Proven experience architecting and delivering enterprise analytics solutions using Microsoft Fabric.

  • Strong understanding of data governance, security, lineage, and metadata management (e.g., Microsoft Purview).

  • Hands-on experience with data pipelines, ETL/ELT, data modelling, analytics architectures, and real-time analytics.

  • Experience with performance tuning, capacity management, and cost optimisation in Fabric environments.

  • Familiarity with Databricks, open data formats (Delta Lake, Parquet), and data mesh principles.

  • Strong stakeholder management, communication, and executive presentation skills.

  • Demonstrated ability to develop reusable frameworks, reference architectures, and accelerators.

  • Experience leading, mentoring, and influencing senior technical and community teams.

  • Proven success building and maintaining strategic partnerships with Microsoft.

About You

  • Passionate about technology and advising clients at a strategic level.

  • Comfortable operating across technical, commercial, and delivery leadership responsibilities.

  • Experienced working with large, complex enterprise clients and globally distributed teams.

  • Able to orchestrate and influence virtual teams to deliver successful outcomes.

  • Background in consultative technical sales, solution architecture, and enterprise delivery.

Enjoy Your Career at Avanade

  • Opportunity to work for Microsoft's Global Alliance Partner of the Year.

  • Minimum 80 hours per year of training and paid certifications.

  • Real-time access to global technical specialists and delivery teams.

  • Dedicated career advisor supporting your professional growth.

  • Collaborative, inclusive culture with engaged and supportive colleagues.

Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanade provides a reasonable range of compensation for roles that may be hired as set forth below.

California

$150,000 - 190,000

Cleveland

$140,000 - 150,000

Colorado

$140,000 - 150,000

District of Columbia

$150,000 - 190,000

Illinois

$150,000 - 190,000

Maryland

$150,000 - 190,000

Massachusetts

$150,000 - 190,000

Minnesota

$150,000 - 190,000

New York / New Jersey

$150,000 - 190,000

Washington

$150,000 - 190,000

For Canada :

British Columbia/Ontario$140,000 - 170,000

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