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Generative Ai Finance Jobs in Michigan (NOW HIRING)

Aquent

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Are you a passionate professional ready to transform the financial landscape with intelligent solutions? This is your chance to build scalable AI solutions using modern machine learning, generative ...

Aquent Talent

AI Software Developer [211339]

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Are you a passionate professional ready to transform the financial landscape with intelligent solutions? This is your chance to build scalable AI solutions using modern machine learning, generative ...

Aquent

AI Software Test Engineer (SDET)

Ann Arbor, MI · On-site

$42.06 - $46.73/hr

Join a team that is shaping the future of technology within the financial industry, driving impact ... generative AI solutions. You will be instrumental in ensuring that our AI systems are not just ...

Deloitte

AI Senior Manager - SFL Scientific

Detroit, MI · On-site

Work alongside clients every step of the way, helping them navigate new challenges, avoid financial ... A key aspect of the role will be to drive the vision, design, and deployment of generative AI ...

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

Stay current with advancements in AI, Generative AI, Agentic AI, and MLOps Required Qualifications ... FastTek Global is financially strong, privately held company that is 100% consultant and client ...

Deloitte

Finance Analytics & AI Manager

Detroit, MI · On-site

... generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google ...

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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 Michigan?

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

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

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

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

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

Generative Ai Finance jobs near you

AI Architect - Generative AI

Turning Point Search

Southfield, MI

$58.25 - $76.75/hr

Full-time

Re-posted 2 days ago

Job description

AI Architect - Generative AI
Willingness to work hybrid and onsite in Southfield (Metro-Detroit, MI).

We are in a digital revolution where AI and analytics offer rare opportunities to transform business. Our client provides AI services to help companies unlock AI/ML and GenAI potential, rapidly prototyping, validating, and scaling enterprise solutions. We're hiring an AI Architect to lead this effort.
Key Responsibilities:

  • Engage with existing and prospective clients to present AI/ML and GenAI-based solutions, including product/platform demonstrations.
  • Lead the technical response to AI/ML and GenAI/Agentic AI related RFPs/RFIs and present the technical solution in customer orals (both In-Person/Virtual)
  • Architect and design sophisticated, advanced analytical applications using GenAI. Examples include but not limited to Forecasting, Predictive Maintenance, Segmentation, Supply Chain Optimization, Computer Vision, Speech, and Text Analytics using appropriate AI/ML and GenAI/Agentic AI tools & technologies across major cloud platform (Azure/AWS/GCP)
  • Design and build GenAI/Agentic AI-based capabilities leveraging LLMs (First-party, Third-party, and Open Source) to solve complex business problems.
  • Act as the primary technical PoC for customers to implement "Responsible AI" practices across the organization
  • Stay up to date with latest industry trends/emerging technologies in AI and provide thought leadership to senior management and CxO teams
  • Provide technical advisory & guidance to customer, pre-sales, and delivery teams on AI/ML and GenAI/Agentic AI platforms and solutions
Qualifications:
  • Must have a minimum of 8+ years machine learning, data science, enterprise scale, experience in ML Ops
  • Excellent verbal and written communication skills with ability to present complex AI/ML concepts to technical and executive audience (using PPTs, Demos, Whiteboard)
  • Hands-on expertise in fine-tuning LLMs and designing AI/ML and GenAI/Agentic AI solutions on at least 1 major cloud platform (Azure, AWS and GCP)
  • Strong relationship building skills and ability to provide technical advisory and guidance
  • Proven ability as Solution Architect designing and developing AI/ML applications
  • Minimum 2-year hands-on experience in building GenAI/Agentic AI applications demonstrating LLM in any of the following industries: manufacturing, automotive, healthcare, financial services
  • Demonstrated ability as Solution Architect in pre-sales team driving the sales process from a technical solution standpoint
  • Expertise in handling large and sophisticated RFPs/RFIs and collaborating with multiple service lines & platform vendors in a fast-paced environment

Education:

  • Bachelor's or Master's degree or equivalent experience in computer science, engineering, information systems or a related field