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Generative Ai Finance Jobs in Indiana (NOW HIRING)

Occupational Therapist - La Porte, IN

La Porte, IN · On-site

$37.25 - $49/hr

Athletico clinicians are supported by Generative AI Documentation Scribe - purpose-built AI ... SoFi Financial Wellness Tools & Loan Resources * HUSK Fitness Resources & Gym Discounts * Home ...

Physical Therapist - Lebanon, IN

Lebanon, IN · On-site

$1.5K - $2.0K/wk

Athletico clinicians are supported by Generative AI Documentation Scribe - purpose-built AI ... SoFi Financial Wellness Tools & Loan Resources * HUSK Fitness Resources & Gym Discounts * Home ...

... finance leaders. * Design and implement scalable machine learning models and LLM-based solutions. * Apply NLP techniques and prompt engineering to build conversational and generative AI systems.

Athletico clinicians are supported by Generative AI Documentation Scribe - purpose-built AI ... SoFi Financial Wellness Tools & Loan Resources * HUSK Fitness Resources & Gym Discounts * Home ...

... finance leaders. * Design and implement scalable machine learning models and LLM-based solutions. * Apply NLP techniques and prompt engineering to build conversational and generative AI systems.

Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill ... Procurement and finance * VP, SVP, and C-level executives * Move beyond day-to-day users into ...

Athletico clinicians are supported by Generative AI Documentation Scribe - purpose-built AI ... SoFi Financial Wellness Tools & Loan Resources * HUSK Fitness Resources & Gym Discounts * Home ...

Showing results 41-60

Generative Ai Finance information

What is generative AI finance?

Generative AI Finance refers to the use of advanced artificial intelligence models, such as generative adversarial networks (GANs) and large language models, in financial services and operations. These technologies are used for tasks like automating financial reporting, generating investment strategies, detecting fraud, and forecasting market trends. Generative AI can analyze vast amounts of financial data, create realistic simulations, and generate insights that can help financial institutions make better decisions. As the field grows, it is transforming how banks, investment firms, and other financial organizations approach data analysis, risk management, and customer service.

How does a generative AI finance professional typically collaborate with cross-functional teams within an organization?

Generative AI Finance professionals frequently work alongside data scientists, software engineers, and financial analysts to develop and implement AI-driven models for forecasting, risk assessment, and process automation. Collaboration is key, as finance experts provide domain knowledge while technical teams handle the model development and deployment. Regular meetings, shared project management tools, and clear communication channels help ensure alignment on project goals and timelines. These professionals also often present findings and recommendations to stakeholders, bridging the gap between technical solutions and business needs.

What are the key skills and qualifications needed to thrive as a generative AI finance professional, and why are they important?

To thrive as a Generative AI Finance professional, you need a strong background in finance, data analysis, and machine learning, often supported by degrees in finance, mathematics, computer science, or related fields. Familiarity with AI frameworks (such as TensorFlow or PyTorch), programming languages (like Python), and financial modeling tools is typically required, along with relevant certifications in finance or data science. Strong problem-solving, communication, and adaptability skills help professionals bridge the gap between technical teams and business stakeholders. These skills and qualities are crucial for designing innovative AI-driven financial solutions that are accurate, reliable, and aligned with business objectives.

What is the difference between Generative Ai Finance vs Data Analyst?

AspectGenerative Ai FinanceData Analyst
Required CredentialsDegree in Finance, Computer Science, or related fields; knowledge of AI and machine learningDegree in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentFinance firms, tech companies, AI startups; focus on AI-driven financial solutionsCorporate, consulting, or financial institutions; focus on data interpretation and reporting
Employer & Industry UsageFinancial institutions integrating AI for predictive modeling and automationOrganizations analyzing data to inform business decisions and strategies

Generative Ai Finance involves developing AI models to generate financial insights, automate tasks, and create synthetic data, often requiring expertise in AI and finance. Data Analysts focus on interpreting existing data to support decision-making. While both roles work with data, Generative Ai Finance emphasizes AI model creation, whereas Data Analysts focus on data interpretation and reporting.

Is generative AI used in finance?

Generative AI is increasingly used in finance for tasks such as algorithmic trading, risk modeling, and fraud detection. Finance professionals, including those in generative AI roles, utilize machine learning tools and data analysis skills to develop models that improve decision-making and automate processes.

What are popular job titles related to Generative Ai Finance jobs in Indiana?

For Generative Ai Finance jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Generative Ai Finance jobs in Indiana look for?

The top searched job categories for Generative Ai Finance jobs in Indiana are:

What cities in Indiana are hiring for Generative Ai Finance jobs?

Cities in Indiana with the most Generative Ai Finance job openings:

Senior Solution Architect

Cliftonlarsonallen

Indianapolis, IN • On-site

$185K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago


CliftonLarsonAllen rating

6.7

Company rating: 6.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

20th of 22 rated bookkeepers and accountants


Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is growing and seeking to hire an experienced Senior Solution Architect to join our talented Information Technology team. The position offers growth, flexibility and a collaborative work environment.

In this position you should have the following; excellent interpersonal skills with the ability to communicate at all levels. Strong problem solving and creative skills and the ability to exercise sound judgment. Most important, demonstrate a high level of integrity and dependability with a strong sense of urgency and results-orientation.

This role is responsible for shaping the firm's technology landscape by partnering with key stakeholders to design solution architectures that enable insightful analytical solutions. This role creates a holistic view of AI solutions architecture and ensures technology initiatives align with business objectives. Provides strategic technical leadership, drives architecture standards, and ensures solutions are scalable, secure, and future-ready.

How you'll create opportunities in this Lead Modern Workplace SharePoint Engineer role:

AI Architecture, Strategy & Governance

  • Define and maintain enterprise AI architecture standards, reference architectures, governance frameworks, and best practices for Generative AI, Agentic AI, and Machine Learning solutions.
  • Partner with business and technology leaders to identify, design, and deliver AI-enabled capabilities aligned with organizational goals.
  • Establish and enforce AI governance, security, privacy, compliance, and responsible AI standards.
  • Develop AI technology roadmaps and evaluate emerging AI tools, platforms, models, and industry trends.
  • Lead architecture reviews and ensure AI initiatives align with enterprise architecture, security, and governance requirements.

AI Solution Design, Delivery & LLMOps

  • Design, implement, and oversee enterprise AI solutions leveraging Large Language Models (LLMs), RAG, AI Agents, vector databases, and modern AI frameworks.
  • Translate business requirements into scalable, secure, and cost-effective AI architectures and technical solutions.
  • Optimize AI systems for token efficiency, context management, retrieval relevance, response quality, performance, and cost.
  • Establish LLMOps practices including deployment, evaluation, monitoring, observability, testing, and lifecycle management.
  • Define and implement AI evaluation frameworks measuring accuracy, relevance, grounding, latency, and business outcomes.
  • Provide technical leadership and mentorship on AI architecture, prompt engineering, agentic systems, AI security, and operational best practices.

What you will need:

  • 6 years relevant experience required
  • Bachelor's degree or a combination of relevant experience and training may be considered in lieu of a degree.

Technical Competencies:

  • Enterprise Architecture Design - Ability to develop and maintain architecture frameworks and standards
  • Solution Architecture - Expertise in designing scalable, secure, and integrated technology solutions.
  • Data Architecture & Pipeline Development - Skilled in building data pipelines and enabling analytics solutions.
  • Cloud Technologies - Proficiency in cloud platforms (e.g., AWS, Azure, GCP) and hybrid architectures
  • Integration & API Management - Strong knowledge of system integration patterns and API design.
  • Security & Compliance - Understanding of security principles, risk management, and regulatory compliance.
  • Technical Governance & Documentation - Ability to enforce standards and produce clear architectural documentation.

Our approach to compensation emphasizes collaboration and career growth. We pay competitive wages and view compensation as an investment in our people. Factors such as geography, experience, education, skills, and knowledge may impact position of pay within the range.

The compensation range for this position in Minnesota is: 108,000.00 - $185,000.00

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Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.



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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012