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Ai Optimization Jobs (NOW HIRING)

Essential Job Duties We're looking for a CX Digital Optimization Analyst to help improve the quality, reliability, and effectiveness of BambooHR's AI-assisted service experiences. This role will ...

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Workforce AI Optimization Analyst Location: Remote Employment Type: Full-time, exempt Salary Range: $72,000-$78,000 Benefits: Medical, Dental, and Vision (with company contribution), Paid Time Off ...

We are looking for an experienced and innovative leaderto fill the position of AI Optimization Engineer within ourApplied AI Center of Excellence group based in Houston, TX. Essential Job ...

We are looking for an experienced and innovative leader to fill the position of AI Optimization Engineer within our Applied AI Center of Excellence group based in Houston, TX. Essential Job ...

As a AI Optimization Specialist, Support, you will empower both our customers and Support team by building and maintaining the AI-powered knowledge that fuels our customer-facing chatbot and internal ...

AI Optimization (AIO) Director; Search+ Center of Excellent (COE) The SEO/AIO Director at Kepler will be responsible for contributing to and executing on the Center of Excellence's Search+ vision ...

The SEO Specialist will support the execution of Generac's organic search and AI Optimization (AIO) strategies across a portfolio of digital properties. This role is hands-on and focused on ...

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Ai Optimization information

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How much do ai optimization jobs pay per hour?

As of Jul 2, 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 is AI optimization?

AI optimization involves developing and applying algorithms to improve the performance, accuracy, and efficiency of artificial intelligence models. AI optimization specialists often work with machine learning techniques, tuning parameters, and using tools like TensorFlow or PyTorch to enhance model outcomes and operational effectiveness.

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.

Which 3 jobs will survive AI?

AI optimization professionals, data scientists, and cybersecurity specialists are likely to continue thriving as their roles involve complex problem-solving, strategic decision-making, and safeguarding systems beyond AI's current capabilities. These jobs require advanced skills, critical thinking, and adaptability that are difficult for AI to fully replicate. Continuous learning and certification in relevant tools enhance job security in these fields.

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 a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and cutting-edge development.

What are some 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.

Which AI job is high paying?

High-paying AI jobs include roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist, often requiring advanced degrees and expertise in programming, statistics, and deep learning frameworks. These positions typically offer salaries above industry average due to their specialized skills and demand in sectors like technology, finance, and healthcare.
More about Ai Optimization jobs
What cities are hiring for Ai Optimization jobs? Cities with the most Ai Optimization job openings:
What states have the most Ai Optimization jobs? States with the most job openings for Ai Optimization jobs include:
Infographic showing various Ai Optimization job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $124,067 per year, or $59.6 per hour.

Search & AI Optimization Associate

Careers at KKR

Boston, MA

Other

Posted 17 days ago


Job description

We are seeking a performance and growth marketing Associate with deep expertise in search, content strategy, and conversion optimization to drive scalable digital growth. This role will lead acquisition across paid and organic search, while advancing KKR's visibility in emerging AI-driven discovery environments.

The role will partner closely with Marketing, Content, Web Product, and Analytics teams to develop and execute strategies across SEO, paid search, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO). This individual will be responsible for optimizing the full digital funnel from search visibility through conversion while leveraging data, experimentation, and modern AI-enabled capabilities.

We are looking for a strategic and hands on expert with strong analytical rigor, a deep understanding of search ecosystems, and a forward-looking perspective on how AI is transforming digital discovery and engagement.

RESPONSIBILITIES

  • Develop and execute integrated digital acquisition strategies across paid search, organic search, and AI-driven discovery platforms.
  • Own paid search (SEM/PPC) programs across platforms such as Google Ads, including campaign development, budget management, and performance optimization.
  • Lead SEO strategy, including keyword research, technical optimization, on-page improvements, and content gap analysis to drive high-intent organic traffic.
  • Advance Answer Engine Optimization (AEO) efforts to improve visibility in featured snippets, knowledge panels, and zero-click search experiences.
  • Develop and implement Generative Engine Optimization (GEO) strategies to enhance presence across AI-powered platforms (e.g., Google AI Overviews, Gemini, ChatGPT, Claude, Perplexity, Copilot).
  • Partner with content and editorial teams to develop and optimize high-quality, authoritative content aligned to search intent and AI retrieval.
  • Drive content optimization initiatives to improve discoverability, engagement, and performance across digital channels.
  • Lead conversion rate optimization (CRO) initiatives, including A/B and multivariate testing of landing pages, forms, and user journeys.
  • Collaborate with UX/UI and product teams to enhance digital experiences and improve conversion performance.
  • Define KPIs and performance benchmarks across acquisition channels and optimization initiatives.
  • Stay current on industry trends across search, AI, and digital marketing, and evaluate new opportunities for growth.
  • Partner with external agencies and vendors to support execution and extend capabilities.

QUALIFICATIONS

  • Bachelor's degree in marketing, business, communications, or a related field.
  • 5+ years of experience in digital acquisition, performance marketing, or growth marketing.
  • Deep expertise in paid search platforms (Google Ads, Microsoft Ads) and performance optimization.
  • Strong understanding of SEO, technical SEO, and content-driven organic growth strategies.
  • Experience with conversion rate optimization, experimentation, and landing page optimization.
  • Familiarity with AEO and emerging GEO/AI-driven search optimization approaches.
  • Proficiency in Adobe Analytics, Google Search Console, SEMrush (or similar tools), and attribution platforms.
  • Strong analytical mindset with the ability to translate data into actionable insights.
  • Experience managing budgets and optimizing ROI across channels.
  • Ability to operate both strategically and tactically in a fast-paced environment.
  • Strong collaboration and stakeholder management skills.

Preferred Qualifications 

  • MBA or advanced degree in Marketing, Business, or a related field.
  • Experience with AI-powered search platforms and LLM optimization strategies.
  • Background in financial services, asset management, or B2B marketing.
  • Experience working in regulated environments with compliance requirements.
  • Certifications in Google Ads or related platforms.