1

Ai Content Engineer Jobs in Texas (NOW HIRING)

Content Strategy is evolving from a discipline that guides individual content experiences to one ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

AI Content Creation

Houston, TX · On-site +1

$42K/yr

Engineer precise prompts using advanced AI image generators (i.e. Midjourney, DALL-E, Imagen) to ... Webpage & Digital Content Creation: Assist in the rapid generation and optimization of visually ...

... enterprise content management, knowledge management, and AI-powered knowledge solutions. This ... Foster a collaborative, accountable, and high-performing engineering culture focused on continuous ...

Senior Content Developer

Austin, TX · Hybrid

$121K - $126K/yr

As a Senior Content Developer, you will create, review, and improve product content while ... From software engineers who command the latest AI technology to business development reps who help ...

Senior Content Developer

Austin, TX · Hybrid

$121K - $126K/yr

Design content for AI-powered features, including conversational interfaces, agent responses ... Partner closely with Product Designers, Product Managers, and Engineers throughout the product ...

Generative AI is rewriting how lawyers research, draft, and advise, and the firms that get this ... Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to ...

New

In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required--your ...

Define and own the end-to-end architecture for an agentic AI content generation platform ... Collaborate with the DevOps team to implement CI/CD pipelines, IaC (Bicep/ARM/Terraform), and ...

next page

Showing results 1-20

Ai Content Engineer information

What is an AI content engineer?

An AI Content Engineer is a professional who designs, develops, and manages content systems powered by artificial intelligence. They work at the intersection of content strategy, data science, and machine learning, creating tools and workflows that automate or enhance content creation, curation, and personalization. Their responsibilities often include training language models, integrating AI capabilities into content management systems, and ensuring the quality and relevance of AI-generated content. This role is crucial for organizations aiming to scale content production while maintaining quality and consistency.

What are the key skills and qualifications needed to thrive as an AI content engineer?

To thrive as an AI Content Engineer, you need a strong background in computer science, natural language processing (NLP), and experience with programming languages like Python, as well as a relevant degree or equivalent experience. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), NLP libraries (like spaCy or NLTK), and cloud platforms is typically required. Creativity, problem-solving, and effective communication are essential soft skills for designing user-focused AI content solutions and collaborating with cross-functional teams. These skills ensure the development of robust, innovative AI-driven content systems that meet business and user needs.

What are some typical challenges an AI content engineer faces when deploying AI-generated content at scale?

AI Content Engineers often encounter challenges related to maintaining content quality and consistency when deploying AI-generated material across multiple platforms. Balancing automation with human oversight is crucial to avoid errors, biases, or brand voice inconsistencies. Additionally, integrating AI tools with existing content management systems and ensuring compliance with data privacy regulations can be complex. Close collaboration with data scientists, content strategists, and legal teams is often required to address these issues effectively.

What is the difference between Ai Content Engineer vs Data Scientist?

AspectAi Content EngineerData Scientist
Required CredentialsBachelor's in Computer Science, AI, or related fields; experience with NLP and ML toolsBachelor's or higher in Data Science, Statistics, or related fields; proficiency in programming and statistical analysis
Work EnvironmentDeveloping AI models for content generation, working with NLP and ML frameworksAnalyzing data sets, building predictive models, interpreting complex data
Employer & Industry UsageTech companies, content platforms, AI startupsFinance, healthcare, tech firms, research institutions

While both roles involve AI and data analysis, Ai Content Engineers focus on creating AI systems for content generation, whereas Data Scientists analyze data to derive insights and build predictive models. The roles often overlap in skills but differ in primary objectives and applications.

Is AI Content Engineer still in demand?

AI Content Engineers are in high demand as organizations seek professionals skilled in developing and managing AI-driven content systems. The role requires knowledge of machine learning, natural language processing, and content management tools, with job growth expected to continue as AI integration expands across industries.

What cities in Texas are hiring for Ai Content Engineer jobs?

Cities in Texas with the most Ai Content Engineer job openings:

Infographic showing various Ai Content Engineer job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Content Strategy Lead

Meta

Austin, TX

$182K/yr

Full-time

Posted 24 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies


Job description

Content Strategy is evolving from a discipline that guides individual content experiences to one that shapes the systems through which content is created, governed, and scaled. Our AI content systems are already live. What's needed now is the strategic layer that ensures scale means better, not just more. As AI becomes embedded throughout the marketing ecosystem, organizations need new ways to ensure that strategic expertise is amplified and operationalized through technology.We are seeking an AI Content Strategy Lead to drive the vision and cross-functional alignment required to embed content strategy into AI-powered marketing systems. This is a highly strategic individual contributor role within Content Strategy that partners across Marketing Technology (including AI platform teams) and creative teams to ensure content expertise is embedded into AI-powered systems. The role will not directly manage teams or own AI platforms, but will influence and align stakeholders across organizations to ensure that strategic content expertise is represented within AI-enabled workflows and capabilities.The ideal candidate combines demonstrated AI product leadership with a deep understanding of how content strategy creates business value. They have experience translating strategic expertise into clear requirements that enable scalable systems, influencing outcomes through partners who own platform roadmaps, and driving organizational transformation through partnerships, vision, and execution.This role spans the full breadth of AI-generated marketing content, including copy, image, video, email, web, and advertising creative, in service of campaigns reaching millions of small business advertisers across scaled channels.
AI Content Strategy Lead Responsibilities:
  • Define and drive the long-term vision for how Content Strategy is operationalized through AI-powered marketing systems and workflows, including the strategic requirements that preserve critical human judgment and oversight
  • Partner with Marketing Technology teams to translate content strategy expertise into clear requirements, priorities, and success criteria that inform the AI platform's capabilities
  • Design the knowledge architecture that structures customer insights, brand voice, audience context, messaging frameworks, and campaign intelligence for real-time access by AI agents and content generation systems. Define how marketing expertise is stored, retrieved, and applied so that AI produces strategically sound, not just grammatically correct, output
  • Identify and recommend high-impact opportunities where AI can improve content quality, consistency, speed, and strategic alignment
  • Establish governance guardrails, evaluation frameworks, and quality controls that ensure AI-generated content meets organizational standards while enabling scalable operating models
  • Serve as a thought leader and advisor on the future of AI-enabled content strategy, helping to shape organizational direction and investment decisions
  • Measure and communicate the business impact of AI-enabled content systems, including improvements in quality, consistency, efficiency, and strategic fidelity

Minimum Qualifications:
  • 12+ years of experience in content strategy, content operations, content technology, AI product management, marketing technology, marketing strategy, or related disciplines
  • Track record of driving alignment and outcomes across multiple organizations without direct authority, particularly in environments where technology, strategy, and creativity intersect
  • Experience translating ambiguous business needs into clear strategic requirements and articulating them to technical and cross-functional partners to inform AI product roadmaps
  • Strong understanding of generative AI capabilities, limitations, governance considerations, and implementation patterns
  • Experience defining requirements or shaping product roadmaps for AI, content technology, or marketing automation platforms as a non-engineering stakeholder
  • Exceptional written and verbal communication skills, including experience in influencing leaders and executive stakeholders
  • Experience driving organizational change, workflow transformation, or technology adoption at scale

Preferred Qualifications:
  • Track record of defining new functions, operating models, or organizational capabilities in emerging technology domains
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience developing strategic plans and driving them through to implementation with measurable outcomes
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with AI agent architectures, marketing knowledge systems, or retrieval-augmented generation (RAG) patterns that enable AI to access brand, audience, and messaging context when generating content
  • Deep familiarity with content lifecycle management, content governance, and content quality evaluation frameworks
  • Experience in establishing measurement frameworks for AI effectiveness, content quality, and strategic alignment
  • Experience operating in large, matrixed organizations with shared ownership of technology platforms

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$182,000/year to $252,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom