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Ai Content Engineer Jobs (NOW HIRING)

Sleeper

AI Content Creator (Contract)

You'll be operating at the intersection of creative production, prompt engineering, and growth ... Produce a high volume of AI-generated short-form video, image, and audio content for distribution ...

Flex

Lead, CS AI Content

New York, NY · On-site

About the role We're hiring a Lead, CS AI Content to own the content layer that powers Flex's AI ... Ability to collaborate effectively with cross-functional partners including Product, Engineering ...

Meta

Product Content Engineer

New York, NY

$131K/yr

Product Content Engineering is a horizontal function supporting initiatives across Instagram and is ... They will also have creative skills to build products like AI generated images and videos, visual ...

Meta

Product Content Engineer

Menlo Park, CA · On-site

$131K - $190K/yr

Product Content Engineering is a horizontal function supporting initiatives across Instagram and is ... They will also have creative skills to build products like AI generated images and videos, visual ...

Meta

Product Content Engineer

San Francisco, CA

$131K/yr

Product Content Engineering is a horizontal function supporting initiatives across Instagram and is ... They will also have creative skills to build products like AI generated images and videos, visual ...

Meta

Product Content Engineer

Menlo Park, CA

$131K/yr

Product Content Engineering is a horizontal function supporting initiatives across Instagram and is ... They will also have creative skills to build products like AI generated images and videos, visual ...

LexisNexis

Director of Case Law AI-Driven Content

$130K - $241K/yr

The Director of Case Law AI-Driven Content is responsible for defining and leading the editorial ... Engineering, Data Science, and UX teams. * Translate editorial and legal requirements into clear AI ...

Flex

Lead, CS AI Content

New York, NY · On-site

$92K - $115K/yr

About the role We're hiring a Lead, CS AI Content to own the content layer that powers Flex's AI ... Ability to collaborate effectively with cross-functional partners including Product, Engineering ...

Soni Resources

AI Content Platforms Manager

Austin, TX · On-site

$145K/yr

This role leads the transformation of enterprise content management into an AI-driven content ... in software engineering, AI, or technology leadership * Proven experience leading teams and ...

Insurify

Editor, AI Content Systems

Cambridge, MA

$65K - $75K/yr

Experienced AI-wielder, adept with generative AI platforms, prompt engineering, and hands-on content editing. * Proficient with SEO strategies and translating keyword data into real editorial ...

Insurify

Editor, AI Content Systems

Cambridge, MA · On-site +1

$65K - $75K/yr

Experienced AI-wielder, adept with generative AI platforms, prompt engineering, and hands-on content editing. * Proficient with SEO strategies and translating keyword data into real editorial ...

Finout

Marketing AI - Content Manager

New York, NY · On-site

$115K - $145K/yr

... content function that produces both volume and quality by combining strong writing with AI-native ... Translate Product into Story : work closely with product and engineering to understand what we're ...

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All JobsAi Content Engineer Jobs

Ai Content Engineer information

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$29.5K

$116.6K

$129K

How much do ai content engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for ai content engineer in the United States is $116,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,000.00 and $128,000.00 per year, depending on experience, location, and employer.

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.

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, and why are they important?

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.
More about Ai Content Engineer jobs
What cities are hiring for Ai Content Engineer jobs? Cities with the most Ai Content Engineer job openings:
What states have the most Ai Content Engineer jobs? States with the most job openings for Ai Content Engineer jobs include:
What job categories do people searching Ai Content Engineer jobs look for? The top searched job categories for Ai Content Engineer jobs are:
Ai Content Engineer jobs near you
Infographic showing various Ai Content Engineer job openings in the United States as of June 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 56% In-person, and 44% Remote job distribution, with an average salary of $116,615 per year, or $56.1 per hour.

AI, Content Intelligence Engineer

Starcom Mediavest Group Germany Gmbh

Manhattan, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

Company Description
Within Publicis Groupe's Intelligent Creativity business, we specialize in bringing creative ideas to life, and to consumers.
By combining 100 years of craft excellence with 6,000 experts across 52 locations of the world's biggest studio network, we leverage the industry's richest data, through the power of agentic AI, to radically redefine content production with Intelligent Content. We intuitively deliver this through Marcel Make, the world's first Intelligent Content agent. The result? Predictively performing content that unlocks business growth in unprecedented ways.
No more guesswork. No more waste. Just content that works, working a lot harder.
We are hiring an AI Systems Engineer to architect, build, and productionize AI-powered tools that directly transform how content is created, adapted, and scaled.
This role is focused on engineering working systems, taking concepts from PoC to MVP to production-grade tooling - that integrate into our content supply chain and are actively used by operators.
You will operate inside the Solution organization as a builder, developing modular AI services, experimentation frameworks, and deployable intelligence layers that enhance and evolve production workflows.
Job Description
  • Build functional AI systems, not theoretical models

  • Translate opportunity areas into working prototypes and scalable services

  • Develop production-ready tools used by operators to create and optimize content

  • Bridge innovation, engineering, and production execution

  • Partner with research and analytics teams to translate insights into deployable AI logic

Responsibilities
AI System Design & Engineering
  • Design and develop end-to-end AI-powered services for content production workflows

  • Build modular components (APIs, services) that integrate with enterprise platforms

  • Leverage LLMs, RAG pipelines, diffusion models, and vector databases

  • Ensure systems are extensible, reusable, and production-safe

  • Build modular, extensible systems using Infrastructure as Code (e.g., Terraform) to enable repeatable environments, scalable architecture, and seamless service integration.

PoC to MVP to Production Delivery
  • Rapidly prototype capabilities to validate feasibility

  • Evolve prototypes into MVP tools with real operator usage

  • Productionize systems with scalability, reliability, and workflow integration

Workflow & Tooling Innovation
  • Build AI-assisted generation pipelines and content optimization tools

  • Develop reusable, modular capabilities that scale across clients

  • Enable self-service and assisted creation models for operators

Intelligence Layer Development
  • Engineer systems that convert data and performance signals into actionable inputs (e.g. integrated content recommendation engine)

  • Guide content creation, adaptation, and optimization decisions

Integration with Production Ecosystem
  • Integrate solutions into production environments including workflow and DAM systems

  • Ensure outputs are telemetry-driven, traceable, governed, and compliant across systems and workflows.

Engineering Standards & Governance
  • Design and implement CI/CD pipelines (e.g., Git-based workflows) to support automated build, test, and deployment for reliable, continuous delivery.

  • Build systems that adhere to secure data handling and enterprise security standards.

  • Ensure observability, monitoring, and auditability of systems

Qualifications
  • 7-10+ years in software engineering, AI/ML engineering, or related fields

  • 2-5+ years' experience in content production-grade software

  • Strong Python proficiency and experience with modern AI/ML frameworks

  • Experience building and deploying production-grade systems

  • Familiarity with LLMs, RAG, generative models, and cloud-native architectures

  • Experience with APIs, microservices, and system integration

  • Ability to translate complex requirements into scalable engineering solutions

  • Strong collaboration skills across technical and non-technical teams

What Success Looks Like
  • PoCs consistently evolve into production tools used by operators

  • AI-powered systems are embedded into content production workflows

  • Capabilities are delivered as reusable, scalable services

  • The organization operates as a product-building engine, not just strategy

  • AI becomes infrastructure within production, not experimentation

Technical Competencies
  • Python, APIs, and modular system architecture (microservices)

  • LLMs, advanced prompt engineering system design, and RAG pipelines

  • Vector databases (e.g., Pinecone, FAISS) and data modeling (SQL)

  • Generative AI systems (diffusion models, ComfyUI) and fine-tuning methods (LoRA)

  • Cloud platforms (GCP/AWS), Docker, Kubernetes, and Terraform (IaC)

  • CI/CD pipelines (Git-based workflows, automated build/test/deploy)

  • Workflow orchestration and enterprise integrations (DAM, CMS, Workfront)

  • Media processing pipelines (image/video/3D asset handling - e.g. GLB, OBJ, STL, CAD, RAW)

  • Telemetry, logging, monitoring, and model evaluation/governance

Additional Information
Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
Compensation Range:USD $168,150.00 - USD $269,217.00 Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off.
All your information will be kept confidential according to EEO guidelines.
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