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Ai Optimization Jobs in Delaware (NOW HIRING)

AI ML Architect

Wilmington, DE · On-site

$53.50 - $73.50/hr

Experience handling model evaluation, observability, performance tuning, and cost optimization in production AI systems. * Expertise in API design, microservices integration, and event-driven ...

AI Engineer, Industrial

Wilmington, DE · On-site +1

$67K - $91K/yr

Build AI-enabled applications that combine models, data pipelines, prompts,agents,evaluations, optimization logic, and user feedback into solutions that are useful, explainable, and maintainable.

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Write optimized code and provide innovative solutions to complex problems * Stay updated with industry trends and emerging technologies * Stay current with the latest advancements in AI and machine ...

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Ai Optimization information

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.
What are popular job titles related to Ai Optimization jobs in Delaware? For Ai Optimization jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Ai Optimization jobs in Delaware look for? The top searched job categories for Ai Optimization jobs in Delaware are:
Infographic showing various Ai Optimization job openings in Delaware as of July 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Principal Product Software Engineer - AI (Dover)

Principal Product Software Engineer - AI (Dover)

Wolters Kluwer

Dover, DE • On-site

$173K - $310K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Wolters Kluwer rating

8.7

Company rating: 8.7 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

43rd of 202 rated software companies


Job description

Key Responsibilities
  • Build AI Agent Systems: Design and implement task-focused AI agents that assist thousands of professional’s audit work. Building Document understanding and structured-data extraction systems. Leading production-grade AI services and shipping working capabilities quickly and iterating with Product & customer teams.
  • Cross-Portfolio Innovation: Work across TAA's product portfolio, enabling other teams while building AI solutions that can be applied to multiple products and customer segments.
  • Technical Leadership: Design and implement AI features using Python and modern frameworks. Build intelligent document processing, automated workflows, and AI-powered analytics with a focus on security, product experience, and scalability.
  • Close Collaboration: Work in Audit’s collaborative model where engineers understand business problems as deeply as technical solutions, partnering closely with product managers who prototype their own ideas.
Requirements Technical Foundation
  • Bachelor Degree in Computer Science or Equivalent
  • 9+ years building software applications (experience with Python, Java or C++)
  • 3+ years hands-on experience with LLMs or AI systems (NLP preferred)
  • Full-stack development capabilities
  • Experience with Agile/XP practices including TDD/BDD and pair programming
  • Proficiency with AI coding tools (GitHub Copilot, Cursor, or similar)
  • Regular use of GenAI utilities (ChatGPT, Claude, etc.) for development workflow
Technical Project Leadership
  • 6+ years leading complex technical projects from inception to delivery
  • Experience working in startup-like environments or innovation teams
  • Comfort working in collaborative, fast-paced Agile environments with weekly sprints and blurred (but aligned) role boundaries
AI/ML Experience
  • Working knowledge of AI/ML frameworks (LangChain, LangGraph, Hugging Face, OpenAI APIs)
  • Experience with vector, databases and embeddings
  • Understanding of prompt engineering and AI optimization
Communication Skills

Ability to explain technical concepts to non-technical stakeholders and drive adoption of new technologies across teams.

Preferred Qualifications

Microsoft Azure AI-102 certification is highly desired or able to get certified in first 30 days- our team is 100% certified and we value this demonstration of Azure AI expertise

  • Experience with Azure AI services, Azure AI Document Intelligence, advanced AI frameworks, or multi-modal AI systems
  • Background in dynamic environments like startups, innovation teams, or product-focused companies that prioritize customer co-design and rapid value delivery
  • Experience with document processing, financial data analysis, or B2B professional software
  • Experience with MLOps, AI governance, or cross-portfolio AI implementations, particularly in regulated/compliance-driven environments
Our Culture

At Wolters Kluwer, our core values—Focus on Customer Success, Make it Better, Aim High and Deliver, and Win as a Team—guide everything we do. We are committed to driving success for our customers by delivering innovative solutions that exceed expectations. We continually strive to improve our processes and products, aiming for excellence in all our efforts. Collaboration and teamwork are central to our culture, enabling us to achieve great results together.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation

$173,500.00 - $310,000.00 USD

This role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

Equal Employment Opportunity

EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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