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Ai In Finance Jobs in Kansas (NOW HIRING)

We believe AI should amplify human potential, not replace it, and we build with that conviction in ... Personalized financial advisory aligned with the AI resilience thesis. You develop strategies that ...

$97K/yr

... in demos. Key Responsibilities: Partner with leaders across Finance/RevOps, Go-To-Market, Services, HR/Legal, and Engineering to identify the highest-leverage opportunities to embed AI into real ...

$97K/yr

... in demos. Key Responsibilities: Partner with leaders across Finance/RevOps, Go-To-Market, Services, HR/Legal, and Engineering to identify the highest-leverage opportunities to embed AI into real ...

We are open to candidates located anywhere in the United States or Canada for this position. What ... AI skills and experience of utilising LLMs at work is a significant plus, alongside experience with ...

Agentic AI in Finance : Design and implement agentic AI solutions (e.g., Claude Code) to automate invoicing, reconciliations, and revenue recognition workflows - improving accuracy, scalability, and ...

Bachelor's degree in Finance, Accounting, or equivalent is required * 1-2+ years of strategic ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

KCIS AI Strategy Leader

Overland Park, KS · On-site

$96K - $181K/yr

Implement AI to high value business workflows-such as servicing, surveillance, and investor ... Experience in financial services, commercial real estate, servicing, or related regulated ...

KCIS AI Strategy Leader

Overland Park, KS · Hybrid

$96K - $181K/yr

Implement AI to high value business workflows-such as servicing, surveillance, and investor ... Experience in financial services, commercial real estate, servicing, or related regulated ...

Generate reports related to inventory, licensing, purchasing, and financial data to support ... AI may be used in the hiring process solely in support of the assessment of candidate ...

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Ai In Finance information

See Kansas salary details

$22.3K

$82.6K

$120.8K

How much do ai in finance jobs pay per year?

As of Aug 2, 2026, the average yearly pay for ai in finance in Kansas is $82,613.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $97,200.00 per year, depending on experience, location, and employer.

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 data scientist, or machine learning executive, often in finance or technology sectors. These roles usually require advanced skills in machine learning, deep learning, programming, and experience with AI tools, and they often involve leadership responsibilities and strategic decision-making.

What is the difference between Ai In Finance vs Data Analyst in Finance?

AspectAi In FinanceData Analyst in Finance
Required CredentialsDegree in Finance, Computer Science, or related fields; knowledge of AI and machine learningDegree in Finance, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentTech-driven finance teams, AI development labs, financial institutionsFinancial firms, banks, investment companies, data analysis departments
Employer & Industry UsageFinancial technology companies, banks integrating AI solutionsFinancial services firms analyzing market data, risk, and client information

Ai In Finance focuses on developing and implementing AI solutions within finance, requiring technical and financial expertise. Data Analysts in Finance interpret financial data to support decision-making. While both roles work with financial data, Ai In Finance emphasizes AI development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

In finance, AI is expected to complement roles such as financial analysts, risk managers, and compliance officers, as these jobs require complex judgment, interpretation of data, and ethical considerations that are difficult to automate fully. These positions involve strategic decision-making, regulatory understanding, and interpersonal skills that remain valuable despite technological advances.

How do professionals in AI in Finance typically collaborate with other departments within a financial institution?

Professionals working in AI in Finance often collaborate closely with teams such as risk management, compliance, and data engineering. They work together to define business requirements, ensure the quality and security of financial data, and interpret AI models’ results for practical decision-making. Effective communication is key, as AI specialists must translate complex technical findings into actionable insights for non-technical stakeholders. This collaborative environment fosters innovation and helps drive solutions that align with both regulatory standards and business goals.

What is AI in finance?

AI in finance refers to the use of artificial intelligence technologies and machine learning algorithms to automate, enhance, and optimize various financial services and processes. This includes applications such as fraud detection, algorithmic trading, credit risk assessment, customer service chatbots, and personalized financial advice. By leveraging large datasets and advanced analytics, AI can improve decision-making, reduce operational costs, and deliver more accurate and timely financial insights. Many financial institutions are increasingly adopting AI to stay competitive and comply with regulatory requirements.

What AI skills are in demand for finance?

AI skills in demand for finance include proficiency in machine learning, data analysis, and programming languages such as Python and R. Knowledge of financial modeling, natural language processing, and experience with AI frameworks like TensorFlow or PyTorch are also highly valued in roles involving financial analytics and automation.

What are the key skills and qualifications needed to thrive as an AI professional in Finance, and why are they important?

To thrive as an AI professional in Finance, you need a strong background in data science, machine learning, quantitative analysis, and finance, often supported by degrees in computer science, mathematics, or finance. Familiarity with programming languages like Python or R, experience with AI/ML frameworks (such as TensorFlow or PyTorch), and understanding of financial systems or regulatory standards are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart in this field. These skills are vital for developing robust AI solutions that drive financial insights, improve decision-making, and ensure regulatory compliance.

Can AI do finance jobs?

AI in finance jobs involves automating tasks such as data analysis, risk assessment, and trading using machine learning algorithms and data processing tools. While AI can perform many repetitive and data-driven tasks, human oversight remains essential for strategic decision-making and ethical considerations.
What are popular job titles related to Ai In Finance jobs in Kansas? For Ai In Finance jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Ai In Finance jobs in Kansas look for? The top searched job categories for Ai In Finance jobs in Kansas are:
Infographic showing various Ai In Finance job openings in Kansas as of July 2026, with employment types broken down into 70% Full Time, 26% Part Time, and 4% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $82,613 per year, or $39.7 per hour.

Senior Analyst, Finance Data and AI

Koch Engineered Solutions

Wichita, KS • On-site

$76K - $95K/yr

Full-time

Posted 29 days ago


Job description

Job Summary:
Koch Engineered Solutions is hiring a Senior Analyst, Finance Data and AI. In this role, you will own the standards and enablement for scaling AI in Finance & Accounting while partnering with IT and Data & Analytics teams to drive direction and education across the organization.
Responsibilities:
• Define and maintain the F&A standards for AI agents; when to build, how to govern, how to evaluate, and how to retire
• Design and maintain reference AI agents that demonstrate approved patterns and serve as examples for future Finance and Accounting use cases.
• Operationalize semantic training so agents can reason over finance data with the right business context
• Own F&A enablement and education; bring the rest of the organization along so AI adoption is not bottlenecked on one team
• Partner with IT and DnA to design proven patterns for industrialization, while keeping organization standards ownership in Finance
Qualifications:
Required:
• Experience building or deploying AI/ML or agentic solutions in a business context
• Strong data fluency, including experience with SQL, Python, and modern data tooling
• Demonstrated ability defining and establishing standards, frameworks, or patterns others adopted, beyond use cases and one-off solutions.
• Experience partnering across business capabilities
• Comfort working in ambiguity and shaping a role rather than executing a defined one
Preferred:
• Hands-on experience with LLM-based agents, RAG patterns, or semantic layers over enterprise data
• Experience building or deploying AI/ML or agentic solutions in finance, accounting, or adjacent function
• Background in F&A processes, such as AR, AP, close, consolidation, FP&A, sufficient to design agents that finance teams trust
• Experience with Microsoft Fabric, Power BI semantic models, or comparable platforms
• Prior experience operationalizing AI inside a regulated or audited function
• Exposure to Koch's Principle Based Management™ framework
Company:
Koch Engineered Solutions (KES) provides uniquely engineered solutions in construction; mass and heat transfer; combustion and emissions controls; filtration; separation; materials applications; automation and actuation. Founded in 1945, the company is headquartered in Wichita, USA, with a team of 1001-5000 employees. The company is currently Late Stage.