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Senior Ai Developer Jobs (NOW HIRING)

Superior Fleet Solutions

Senior AI Developer

Dallas, TX

$120K - $161K/yr

Responsibilities: 70% - Hands-On AI Development & Engineering * Design, build, and deploy scalable AI/ML solutions (predictive models, generative AI, NLP, optimization, automation) * Architect ...

Xcel Energy

Senior AI Engineer

Minneapolis, MN · On-site

$57.75 - $74.25/hr

Position Summary The Sr. AI Engineer plays a pivotal role in advancing Xcel's AI vision by leading ... Hands-on experience with generative AI developer tooling such as Claude Code, OpenAI Codex, GitHub ...

Xcel Energy

Senior AI Engineer

Minneapolis, MN · On-site

$57.75 - $74.25/hr

Position Summary The Sr. AI Engineer plays a pivotal role in advancing Xcel's AI vision by leading ... Hands-on experience with generative AI developer tooling such as Claude Code, OpenAI Codex, GitHub ...

Xcel Energy

Senior AI Engineer

Denver, CO · On-site

$57 - $73.50/hr

Position Summary The Sr. AI Engineer plays a pivotal role in advancing Xcel's AI vision by leading ... Hands-on experience with generative AI developer tooling such as Claude Code, OpenAI Codex, GitHub ...

Xcel Energy

Senior AI Engineer

Buchanan, GA · On-site

$49.25 - $63.50/hr

Position Summary The Sr. AI Engineer plays a pivotal role in advancing Xcel's AI vision by leading ... Hands-on experience with generative AI developer tooling such as Claude Code, OpenAI Codex, GitHub ...

Deloitte

Senior AI Engineer - SFL Scientific

Atlanta, GA · On-site

$100K - $138K/yr

Share: Share Senior AI Engineer - SFL Scientific with Facebook Share Senior AI Engineer - SFL Scientific with LinkedIn Share Senior AI Engineer - SFL Scientific with Twitter Caution against ...

Judge Group, Inc.

Senior AI Engineer

Mesquite, TX · On-site

$150K - $170K/yr

Senior AI Engineer Location: (1 days per week onsite/4 days work from home) Employment Type ... You will lead teams of AI developer agents, own full vertical slices of the stack, and deliver ...

Yotta Systems INC

Senior AI Engineer

Charlotte, NC · On-site

$102K - $140K/yr

Senior AI Engineer Location : Charlotte, NC (Onsite) Job Type : W2 Contract : Seeking a Senior AI Engineer with strong experience in Generative AI, AI Agents, and Microsoft Copilot Studio for a ...

New

Connect for Health Colorado

AI Developer/Engineer

Responsibilities : • Support the Senior AI Developer/Engineer and CIO-sponsored initiatives by delivering enhancements, prototypes, and internal tools that improve staff efficiency and consumer ...

Learn Beyond Consulting LLC

AI DevOps Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

Only W2 (USC) Seeking a Senior AI DevOps Engineer with 10+ years of experience to design, deploy, and optimize enterprise AI platforms and cloud infrastructure. The role focuses on cloud architecture ...

Thales

Senior AI Engineer

Orlando, FL · On-site

$95K - $131K/yr

Senior AI Engineer Orlando, FL (Hybrid) Position Summary Thales is looking for a Senior AI Engineer ... and DevOps practices using technologies such as Terraform, CI/CD pipelines, and automated ...

Thales

Senior AI Engineer

Orlando, FL

$97K - $134K/yr

Senior AI Engineer Orlando, FL (Hybrid) Position Summary Thales is looking for a Senior AI Engineer ... and DevOps practices using technologies such as Terraform, CI/CD pipelines, and automated ...

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Senior Ai Developer information

See salary details

$15

$61

$87

How much do senior ai developer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for senior ai developer in the United States is $61.73, according to ZipRecruiter salary data. Most workers in this role earn between $52.40 and $69.23 per hour, depending on experience, location, and employer.

What is the difference between Senior Ai Developer vs Machine Learning Engineer?

AspectSenior Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models, algorithms, and applications; collaborates with data scientists and engineersDesigns, builds, and deploys machine learning models; often works in data-heavy environments
Employer & Industry UsageTech companies, research labs, AI-focused firmsTech companies, startups, data-driven industries

While both roles involve working with AI and machine learning, Senior Ai Developers focus more on creating and optimizing AI systems, whereas Machine Learning Engineers specialize in building scalable ML models and pipelines. The roles often overlap, but the Senior Ai Developer emphasizes AI application development, and the Machine Learning Engineer emphasizes deployment and data handling.

What are the key skills and qualifications needed to thrive as a senior AI developer?

To thrive as a Senior AI Developer, you need advanced skills in machine learning, deep learning, programming (Python, R, or Java), and a strong background in computer science or related fields, often supported by a bachelor's or master's degree. Expertise in frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms (AWS, Azure, or GCP) and relevant certifications are highly valued. Strong problem-solving, leadership, and effective communication skills help in collaborating across teams and translating complex technical concepts into business solutions. These capabilities are crucial for designing robust AI systems, driving innovation, and ensuring successful deployment in real-world applications.

What is a senior AI developer?

Senior AI Developers are experienced professionals who design, build, and implement artificial intelligence systems and solutions. They typically lead AI projects, mentor junior team members, and work on complex problems involving machine learning, deep learning, and data analysis. Their responsibilities also include collaborating with stakeholders, optimizing models for performance, and ensuring AI solutions align with business goals. Senior AI Developers usually have advanced knowledge of programming languages, frameworks, and best practices in AI development.

What are some common challenges faced by senior AI developers when deploying models into production environments?

Senior AI Developers often encounter challenges such as ensuring model scalability and reliability, handling data drift, and integrating models with existing production systems. Balancing model performance with computational efficiency is crucial, as is maintaining compliance with data privacy regulations. Close collaboration with DevOps, data engineering, and product teams is essential to address these challenges and deliver robust, maintainable AI solutions.
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Senior Ai Developer jobs near you
Infographic showing various Senior Ai Developer job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $128,400 per year, or $61.7 per hour.

Senior AI Developer

Superior Fleet Solutions

Dallas, TX

$120K - $161K/yr

Full-time

Re-posted 2 days ago

Job description

FleetPride is the largest after-market distributor of heavy-duty truck and trailer parts in the U.S. with some of the best and brightest people in the business! Partner with the best in the heavy-duty industry and apply today!

Responsibilities:

70% - Hands-On AI Development & Engineering

  • Design, build, and deploy scalable AI/ML solutions (predictive models, generative AI, NLP, optimization, automation)
  • Architect production-ready pipelines from data ingestion through model monitoring
  • Develop and fine-tune LLM-based applications (RAG architectures, prompt engineering, agents, copilots)
  • Write high-quality, production-grade code (Python required; additional languages a plus)
  • Implement MLOps best practices (CI/CD, model versioning, monitoring, drift detection)
  • Work across cloud platforms (Azure, AWS, or GCP) to deploy secure, enterprise-grade solutions
  • Ensure governance, security, explainability, and responsible AI principles are embedded in every solution
  • Optimize performance, scalability, and cost-efficiency of AI workloads

30% - Business Partnership & Solution Leadership

  • Translate ambiguous business problems into structured AI solution designs
  • Partner with business stakeholders (Finance, Operations, Sales, Marketing, IT) to identify high-value use cases
  • Clearly explain AI concepts, tradeoffs, and model outputs to non-technical audiences
  • Lead solution design workshops and whiteboarding sessions
  • Quantify expected ROI and define measurable success metrics
  • Influence prioritization of AI initiatives based on business value and feasibility
  • Mentor junior developers and help elevate AI literacy across the organization

What Success Looks Like

  • AI solutions deployed into production that generate measurable business impact
  • Reduced time-to-value from idea to implementation
  • Business leaders who trust and understand the AI solutions being delivered
  • Scalable architecture that enables repeatable AI delivery across functions

Required Qualifications

  • 7+ years of software development experience
  • 3+ years building and deploying machine learning or AI solutions in production
  • Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Experience with LLM ecosystems (OpenAI APIs, Hugging Face, LangChain, vector databases)
  • Solid understanding of data engineering fundamentals
  • Experience with cloud-native AI deployment (Azure ML, AWS SageMaker, Vertex AI, etc.)
  • Ability to communicate complex technical ideas clearly and confidently
  • Demonstrated experience working directly with business stakeholders

Preferred Qualifications

  • Experience implementing enterprise-scale AI governance frameworks
  • Background in analytics, optimization, or decision intelligence
  • Experience designing AI copilots or intelligent automation solutions
  • MBA or strong business acumen
  • Experience in regulated or complex operational environments

Competencies

  • Builder mindset with production discipline
  • Systems thinker who designs for scale
  • Commercially oriented technologist
  • Comfortable in ambiguity
  • Strong executive communication skills
  • Bias for measurable outcomes over experimentation

FleetPride is the leader in the industry comprised of retail, service, distribution and wholesale divisions.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Apply