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Ai Content Engineer Jobs in Springfield, TN (NOW HIRING)

Cyod

Principal AI Engineer

Nashville, TN · On-site

$180 - $240/hr

We are seeking a Principal AI Engineer with deep experience in agentic systems, Google Cloud ... Build retrieval‑augmented generation solutions that connect securely to clinical content ...

Insight Enterprises

Principal AI Engineer

Nashville, TN · On-site

$150 - $210/hr

We are seeking a Principal AI Engineer with deep experience in agentic systems, Google Cloud ... Build retrieval-augmented generation solutions that connect securely to clinical content ...

Creative Arts Agency (CAA)

AI - Data Engineer

Nashville, TN · On-site

$129K - $150K/yr

... engineering fundamentals with handson experience building applied AI systems that operate reliably ... Build systems that convert unstructured content into structured representations * Develop and ...

Minno

Senior Content Operations Manager

Nashville, TN · On-site

Through our streaming platform, original programming, publishing, and digital presence, we spark ... Experience implementing AI-enabled workflow improvements, templates, reporting automations, or ...

Creative Artists Agency (CAA)

AI Architect

Nashville, TN · On-site

$68.25 - $88.25/hr

The ideal candidate combines strong software engineering fundamentals with hands on experience ... Build systems that convert unstructured content into structured representations * Develop and ...

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Showing results 1-20

All JobsAi Content Engineer JobsAi Content Engineer Jobs in Springfield, TN

Ai Content Engineer information

See Springfield, TN salary details

$27.9K

$110.1K

$121.8K

How much do ai content engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for ai content engineer in Springfield, TN is $110,130.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $120,900.00 per year, depending on experience, location, and employer.

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 near Springfield, TN are hiring for Ai Content Engineer jobs?

Cities near Springfield, TN with the most Ai Content Engineer job openings:

Ai Content Engineer jobs near you
Infographic showing various Ai Content Engineer job openings in Springfield, TN as of August 2026, with employment types broken down into 73% Full Time, 24% Part Time, 2% Contract, and 1% Nights. Highlights an 60% Physical, 4% Hybrid, and 36% Remote job distribution, with an average salary of $110,130 per year, or $52.9 per hour.

Principal AI Engineer

Cyod

Nashville, TN • On-site

$180 - $240/hr

Other

Posted 18 days ago

Job description

Principal AI EngineerFocus

Agentic Systems, Google Cloud & Vertex AI, LLMs, and Clinical Operations Engineering

Location

Nashville, TN area preferred

Insight at a Glance
  • 14,000+ engaged teammates globally
  • $8.2 billion in revenue in 2025
  • Certified as a Great Place to work in 9 Countries in 2025
  • Fortune 500 Company (No. 447) in 2025
  • Received 25+ industry and partner awards in the past year
  • $1.4M+ total charitable contributions in 2024 by Insight globally
About the Role

Now is the time to bring your expertise to Insight. Healthcare and enterprise organizations are rapidly adopting large language models, generative AI, and agentic systems, but many face a critical challenge: moving beyond demos and prototypes into secure, maintainable, production‑grade AI applications that integrate with real clinical and operational workflows.

We are seeking a Principal AI Engineer with deep experience in agentic systems, Google Cloud Platform and Vertex AI, large language models, clinical operations, and forward deployed engineering. In this client‑facing consulting role, you will design and build AI‑enabled applications that connect clinical and enterprise data, tools, workflows, and users through scalable, governed engineering patterns.

You will bridge the gap between AI strategy and production implementation, partnering with clinicians, architects, data teams, security leaders, and operations stakeholders to deliver solutions that are useful, observable, secure, and ready for enterprise adoption.

What You'll Do
  • Agentic AI Solution Engineering: Design and build agentic AI systems that reason across tasks, use tools, retrieve context, and orchestrate multi‑step workflows to automate and optimize clinical and operational processes, with human‑in‑the‑loop review.
  • Google Cloud & Vertex AI Delivery: Develop AI solutions using Google Cloud technologies such as Vertex AI, Gemini models, Vertex AI Agent Builder, Vertex AI Search, Document AI, BigQuery, and related Google Cloud services.
  • Clinical Note & Document Processing: Build LLM‑powered pipelines to extract, summarize, and structure clinical notes and unstructured healthcare documents, improving accuracy, speed, and downstream operational workflows.
  • MLOps and AI Delivery Automation: Establish CI/CD and MLOps pipelines, infrastructure‑as‑code, environment management, automated testing, release controls, and observability practices for AI‑enabled applications on Google Cloud.
  • RAG and Enterprise Knowledge Systems: Build retrieval‑augmented generation solutions that connect securely to clinical content, structured data, EHR and document repositories, and operational systems.
  • Security, Identity, and Governance: Implement authentication, authorization, RBAC, data access controls, logging, auditability, and guardrails to ensure AI systems handle PHI safely and operate compliantly in regulated healthcare environments.
  • Evaluation and Quality Engineering: Define and implement testing and evaluation approaches for agent performance, prompt quality, retrieval relevance, hallucination risk, response quality, latency, and reliability.
  • Forward Deployed Technical Leadership: Serve as a hands‑on, forward deployed senior engineer and technical advisor, embedding with client teams to make architecture decisions, resolve implementation blockers, and move AI solutions from prototype to production.
  • Practice Enablement: Mentor engineers and consultants while contributing reusable agentic design patterns, reference architectures, DevOps templates, and Google Cloud AI delivery accelerators for Insight.
What We're Looking For
  • Experience: 6+ years of experience in software engineering, cloud engineering, AI engineering, enterprise application development, or solution architecture, ideally in consulting, healthcare, or client‑facing delivery environments.
  • Agentic Systems Expertise: Hands‑on experience designing and building agentic AI applications, including orchestration, tools, memory, planning, multi‑step workflows, RAG, and human‑in‑the‑loop controls.
  • Google Cloud AI Platform Depth: Strong experience with Vertex AI and the broader Google Cloud AI ecosystem, including Gemini models, Vertex AI Agent Builder, Vertex AI Search, Document AI, BigQuery, or related Google Cloud services.
  • Software Engineering Foundation: Strong proficiency in modern programming languages and frameworks commonly used for AI application development, such as Python, TypeScript, Go, FastAPI, LangChain/LangGraph, or similar technologies.
  • DevOps and Cloud Engineering: Experience with GitHub Actions, Cloud Build, CI/CD, infrastructure‑as‑code (Terraform), containers (GKE and Cloud Run), APIs, monitoring, logging, environment promotion, and production release management.
  • Clinical Operations & Healthcare Data: Experience integrating AI with clinical and operational systems—EHRs, clinical documentation, and healthcare data standards such as HL7 and FHIR—including handling of PHI in regulated environments.
  • AI Quality and Observability: Understanding of AI evaluation, prompt/version management, automated testing, telemetry, tracing, monitoring, model behavior analysis, and operational support patterns.
  • Consulting Mindset: Strong communication skills with the ability to translate technical trade‑offs into practical recommendations for executives, clinical leaders, platform teams, security stakeholders, and operations users.
Preferred Certifications
  • Google Cloud / AI: Google Cloud Professional Machine Learning Engineer, Professional Cloud Architect, Generative AI Leader, or relevant Google Cloud and AI certifications.
  • DevOps / Engineering: GitHub, Google Cloud Professional DevOps Engineer, Kubernetes (CKA), Terraform, or cloud‑native engineering certifications.
  • Healthcare / Governance: HIPAA, Responsible AI, or healthcare data and AI governance‑related certifications are a plus.
What you can expect

We’re legendary for taking care of you, your family and to help you engage with your local community.

But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities.

Join us today, your ambITious journey starts here.

Equal Opportunity Employer Statement

Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.

At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you!

Insight does not accept unsolicited resumes from recruiters or employment agencies. Unsolicited resumes will be treated as direct applications from the candidate, and recruiters or agencies who submit candidates for this position without a prior, written vendor agreement will not be eligible for any form of compensation, even if the candidate is hired.

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