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Ai Optimization Jobs (NOW HIRING)

KPI Solutions

AI Product Manager

Sharonville, OH · On-site +1

Define and own the AI optimization strategy and roadmap for WES, aligning with corporate goals and customer outcomes. * Lead development of advanced optimization features such as predictive ...

KPI Solutions

AI Product Manager

Sharonville, OH · On-site

Define and own the AI optimization strategy and roadmap for WES, aligning with corporate goals and customer outcomes. * Lead development of advanced optimization features such as predictive ...

Bluefish AI

Customer AI Analyst

New York, NY · On-site +1

Account Setup & Optimization - Configure and optimize customer accounts to ensure the best foundation for AI performance. Interpret key data to improve setup and support ongoing AI optimization.

Bluefish AI

Customer AI Analyst

New York, NY · Remote

Account Setup & Optimization - Configure and optimize customer accounts to ensure the best foundation for AI performance. Interpret key data to improve setup and support ongoing AI optimization.

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How much do ai optimization jobs pay per hour?

As of Jun 5, 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 refers to the process of improving artificial intelligence models, algorithms, or systems to achieve better performance, accuracy, or efficiency. This can involve tuning hyperparameters, selecting optimal architectures, or using advanced mathematical techniques to minimize errors and resource consumption. AI optimization is crucial in making AI applications more effective and scalable across various industries, from healthcare to finance. By optimizing AI systems, organizations can ensure faster and more reliable outcomes while reducing computational costs.

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 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.
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Ai Optimization jobs near you
Infographic showing various Ai Optimization job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $124,067 per year, or $59.6 per hour.
Director, Value Stream Mapping - AI Optimization

Director, Value Stream Mapping - AI Optimization

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 22 days ago

Job description

Job Description
In this position...
We are seeking a deeply experienced process expert and strategic thinker to serve as the Director, Value Stream Mapping - AI Optimization. This role is critical in bridging the gap between Ford's complex business realities within the Dealer ecosystem and our AI ambitions. You will be responsible for mapping the current state of AI adoption and defining a detailed "Picture of Success." This role is designed for a leader who understands the "cautions" and nuances of the automotive industry and can solve the problem of fragmented, one-off AI solutions. You will bring structure to business problem discovery, drive consistency in how teams describe their needs, and identify cross-team patterns to accelerate time-to-value.
Responsibilities
What you'll do...
You will lead the definition and optimization of AI value realization by delivering the following:
1. Lead Structured Business Discovery & Pain-Point Inventory
  • Lead a structured business problem discovery mission by creating a comprehensive AI pain-point inventory.
  • Standardize how teams describe their needs to eliminate inconsistency and identify cross-team patterns that are often missed.
  • Move the organization away from "one-off" AI solutions toward scalable, pattern-based problem solving.

2. Develop the AI Transformation Playbook
  • Build and institutionalize a holistic AI Transformation Playbook.
  • Conduct AI Readiness Assessments and define the Vision, providing a clear analysis of the Current State versus Future State.
  • Perform rigorous gap assessments across cultural, operational, and technical dimensions to ensure viability.

3. Map Current State & Dealer Processes
  • Leverage deep expertise in Ford Dealer processes, existing assets, and overall enterprise operations to create detailed business process maps.
  • Identify specific opportunities where AI can optimize dealer interactions and internal workflows while navigating known structural cautions.
  • Define a detailed "Picture of Success" for every initiative to ensure alignment before development begins.

4. Drive Opportunity Mapping & Prioritization
  • Create and implement Opportunity Templates to standardize intake and assessment.
  • Execute opportunity mapping and use case prioritization to focus resources on high-impact initiatives.
  • Partner with AI Products to define success metrics and ensure a shared definition of value.

5. Oversee Technical Briefs & Vendor Evaluation
  • Translate business needs into technical reality by leading the creation of Tech briefs and prototypes.
  • Implement a lightweight framework for evaluating vendors and facilitating decision-making.
  • Ensure technical solutions are feasible within Ford's specific environment and infrastructure.

6. Accelerate Time-to-Value & Phased Rollout
  • Design phased rollout strategies that mitigate risk and manage change management effectively.
  • Focus relentlessly on shortening Time-to-Value by identifying the quickest path to measurable impact.
  • Eliminate waste by identifying redundant efforts and steering teams toward shared solutions.

Qualifications
You'll have...
  • Deep Ford Dealer & Process Expertise: Extensive experience with Ford Dealer ecosystems, retail systems, and overall enterprise processes. You must understand the "cautions" and structural realities of the business.
  • Business Process Optimization: Proven track record in mapping complex business processes, identifying bottlenecks, and defining future state workflows (e.g., Value Stream Mapping, Lean/Six Sigma).
  • AI Strategy & Transformation: Experience creating AI readiness assessments, vision statements, and gap analyses (cultural, operational, technical).
  • Framework Development: Ability to build and implement "Playbooks," opportunity templates, and standardized intake models to fix inconsistent requirements gathering.
  • Technical Translation: Experience bridging the gap between business needs and technical teams, including writing tech briefs and overseeing prototyping.
  • Problem Solving: Demonstrated ability to identify cross-team patterns and consolidate one-off solutions into scalable strategies.
  • 12+ years of professional experience.
  • BS or equivalent degree
  • MS, MBA or equivalent business degree.
  • Program Management: PMP (Project Management Professional), Agile/SCRUM Master, SAFe, or Six Sigma Black Belt.
Even better, you may have...
  • Experience acting as a liaison between legacy business operations and modern AI/Tech product teams.
  • Background in evaluating external vendors and defining decision-making frameworks.
  • Experience with Design Thinking or Service Design to frame customer/dealer problems accurately.
  • Previous success in a role similar to a "Value Engineer" or "Business Architect" within a large automotive or manufacturing context.

What you will receive in return...
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.
This position is a leadership level 4.
For more information on salary and benefits, click here: 2026 LL4 Benefits Summary
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
#LI-Hybrid #LI-WC2
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About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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