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Ai Optimization Jobs (NOW HIRING)

Triune Infomatics Inc

Head of AI

San Jose, CA · On-site

Applied AI, LLM Systems & Inference Optimization, AI Agents & Agentic Frameworks, Distributed AI Infrastructure, AI Platform Architecture, Engineering & People Leadership Key Responsibilities:

Pulte Group

SEO Manager

Atlanta, GA

The SEO Manager will lead our search engine and AI search optimization strategy and execution. This individual will directly oversee a team of SEO content resources, collaborate closely with our web ...

PulteGroup, Inc.

SEO Manager

Atlanta, GA · On-site

The SEO Manager will lead our search engine and AI search optimization strategy and execution. This individual will directly oversee a team of SEO content resources, collaborate closely with our web ...

Apple

Content SEO Program Manager

Cupertino, CA · On-site

$149K - $225K/yr

You'll drive search-led programs end-to-end - from keyword research and content architecture to AI platform optimization - collaborating closely with Commercial Marketing, Merchandising, Product ...

Achieve

Principal Growth Manager - SEO/AEO

Tempe, AZ · On-site

You excel at optimizing content architectures and company data for AI search and naturally building brand authority across large language models at scale. Key Responsibilities: * Lead SEO/AEO ...

Apple

Content SEO Program Manager

Culver City, CA · On-site

$112K - $171K/yr

Support AI optimization initiatives by implementing semantic optimizations for assigned areas. Create content briefs and specifications that translate SEO requirements into actionable guidance for ...

The Economist Group

Head of Optimisation

New York, NY · On-site

$105K - $140K/yr

Search Engine Optimization (SEO), App Store Optimization (ASO), and AI Optimization (AIO). As consumption habits shift from traditional keyword searches to conversational AI and mobile-first ...

F5, Inc.

AI Inference Engineer

San Jose, CA · On-site

$134K - $161K/yr

The AI Inference Engineer plays a critical role in the AI lifecycle by bridging the gap between ... This position focuses on optimizing Large Language Models (LLMs) for inference, serving diverse ...

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Ai Optimization information

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How much do ai optimization jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for ai optimization in the United States is $59.65, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $73.56 per hour, depending on experience, location, and employer.

What are common challenges faced by professionals in AI optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.

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

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What is AI optimization?

AI optimization involves developing and applying algorithms to improve the performance, efficiency, or accuracy of artificial intelligence systems. AI optimization specialists often work with machine learning models, tuning parameters, and using tools like Python or TensorFlow to enhance AI capabilities. Strong analytical skills and knowledge of optimization techniques are essential for this role.

Which AI Optimization job is highly paid?

Senior AI Optimization engineers and machine learning engineers specializing in AI model efficiency and deployment tend to have the highest salaries in the field. These roles often require advanced skills in deep learning, programming, and data analysis, and they typically command higher compensation due to their technical complexity and impact on business performance.
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Ai Optimization jobs near you
Infographic showing various Ai Optimization job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 68% In-person, and 32% Remote job distribution, with an average salary of $124,067 per year, or $59.6 per hour.

Head of AI

Triune Infomatics Inc

San Jose, CA • On-site

Other

Posted 21 days ago

Job description

Role: Senior Manager, AI Engineering & Product
Location: San Jose, CA (Hybrid)
Duration: 3+ months
Overview:

  • Senior hybrid IC and people leadership role bridging AI systems architecture, agentic AI, and cross-functional product execution
  • Operating level: IC10 / L7 or equivalent (Client, Google, Amazon, or high-growth AI startup calibre)
  • Expected to own roadmap, stakeholder alignment, and end-to-end delivery independently


Must Have: Applied AI, LLM Systems & Inference Optimization, AI Agents & Agentic Frameworks, Distributed AI Infrastructure, AI Platform Architecture, Engineering & People Leadership
Key Responsibilities:

  • Build and scale AI deployment platforms focused on inference speed, latency reduction, and model acceleration
  • Architect Client software libraries and tooling to push LLM inference and training optimization
  • Design and lead multi-agent engineering systems including orchestration, parallelism, and tool usage
  • Prototype and incubate R&D innovations with potential patent value
  • Drive cross-functional alignment and secure R&D budget from senior leadership
  • Lead engineering teams with full autonomy across roadmap, staffing, and delivery


Required Qualifications:

  • 15+ years in engineering, with 8 to 9 years in applied AI
  • Group Manager or Director level experience at a large tech company or high-growth AI startup
  • Deep hands-on expertise in LLM systems: transformers, inference optimization, quantization, KV cache, distributed training (PyTorch FSDP, PEFT/LoRA)
  • Production-grade experience with AI Agents and agentic frameworks (Claude Code, Agent SDK, or equivalent)
  • Infrastructure at scale: Kubernetes, Kafka, Spark, multi-tenant SaaS, AWS, Google Cloud Platform
  • Proven record of building AI platforms from zero to enterprise production (F500 clients preferred)
  • Experience with vector databases, synthetic data pipelines, RAG, Chain of Thought


Nice to Have:

  • Published author or recognized thought leader in AI/ML
  • Startup founding or enterprise incubation experience
  • GPU hardware ecosystem familiarity: CXL, NVMe, PCIe-level AI optimization
  • Stanford GSB or equivalent advanced education

Apply