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Generative Ai Insurance Jobs in Michigan (NOW HIRING)

HTC Global Services Inc

AI Engineer

Grand Rapids, MI · On-site

Lead architecture for Generative AI, LLMs, and traditional machine learning models. Design scalable ... insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

FastTek

Machine Learning Engineer

Dearborn, MI

Stay current with advancements in AI, Generative AI, Agentic AI, and MLOps Required Qualifications ... Life Insurance (100% paid) * 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Experience with agentic AI chatbot development and Generative AI / Microsoft Copilot is strongly ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

Deloitte

BPO/BPaaS Manager

Lansing, MI

... Generative AI, transformative technologies, and creative design. We can enhance customer ... Leading insurance-focused operate and implementation engagements across business process ...

Deloitte

BPO/BPaaS Manager

Grand Rapids, MI

... Generative AI, transformative technologies, and creative design. We can enhance customer ... Leading insurance-focused operate and implementation engagements across business process ...

Deloitte

BPO/BPaaS Manager

Midland, MI

... Generative AI, transformative technologies, and creative design. We can enhance customer ... Leading insurance-focused operate and implementation engagements across business process ...

Deloitte

BPO/BPaaS Manager

Detroit, MI

... Generative AI, transformative technologies, and creative design. We can enhance customer ... Leading insurance-focused operate and implementation engagements across business process ...

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Generative Ai Insurance information

How does a role in Generative AI Insurance typically collaborate with underwriters and data scientists?

Professionals in Generative AI Insurance often work closely with underwriters to analyze risk profiles and automate policy generation using advanced AI models. Collaboration with data scientists is also essential, as they help develop, test, and refine algorithms that can accurately assess claims, detect fraud, and personalize insurance offerings. This cross-functional teamwork ensures that AI solutions are both technically robust and aligned with industry regulations and business goals, providing opportunities to learn from various experts and contribute to innovative insurance products.

What is the difference between Generative Ai Insurance vs Data Scientist?

AspectGenerative Ai InsuranceData Scientist
Required CredentialsTypically requires knowledge of AI, machine learning, insurance policies, and data analysisRequires degrees in computer science, statistics, or related fields; often certifications in data analysis or machine learning
Work EnvironmentInsurance companies, AI firms, or tech departments within insurersTech companies, financial institutions, or insurance firms
Industry UsageDevelops AI models to automate insurance underwriting, claims, and risk assessmentAnalyzes data to extract insights, build predictive models, and inform business decisions

Generative Ai Insurance professionals focus on creating AI systems that generate content or automate insurance processes, while Data Scientists analyze data to inform strategies. Both roles require technical skills but differ in application and industry focus.

What is a Generative AI Insurance professional?

A Generative AI Insurance professional specializes in developing, managing, or implementing generative artificial intelligence solutions within the insurance industry. This role involves using advanced AI models to automate processes such as underwriting, claims processing, risk assessment, and customer service. These professionals work to optimize operations and improve decision-making by leveraging machine learning and data analysis. They also help ensure that AI-driven tools comply with regulatory standards and ethical guidelines.

What are the key skills and qualifications needed to thrive as a Generative AI Insurance Specialist, and why are they important?

To thrive as a Generative AI Insurance Specialist, you need expertise in data analysis, machine learning, and a solid understanding of insurance products and risk assessment, usually backed by a degree in data science, actuarial science, or a related field. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), insurance-specific analytics platforms, and relevant certifications like CPCU or data science credentials are typically required. Strong problem-solving, communication, and adaptability skills help bridge technical solutions with business needs and client expectations. These competencies ensure innovative, accurate risk modeling and effective implementation of AI solutions within the insurance sector.
What are popular job titles related to Generative Ai Insurance jobs in Michigan? For Generative Ai Insurance jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Generative Ai Insurance jobs in Michigan look for? The top searched job categories for Generative Ai Insurance jobs in Michigan are:
What cities in Michigan are hiring for Generative Ai Insurance jobs? Cities in Michigan with the most Generative Ai Insurance job openings:
Generative Ai Insurance jobs near you
AI Engineer

AI Engineer

HTC Global Services Inc

Grand Rapids, MI • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

Job Title AI/ML Solutions Architect (GenAI & RAG) Overview / Summary We are seeking an experienced AI/ML Solutions Architect with 10+ years of software engineering and/or data science experience, including 3–5+ years in AI/ML architecture roles. The role is responsible for defining AI/ML architecture strategy, designing end-to-end AI solutions, and leading architecture initiatives across Generative AI, LLMs, machine learning, and data platforms. Key Responsibilities Define and drive the AI/ML architecture strategy across the organization. Design end-to-end AI solutions. Lead architecture for Generative AI, LLMs, and traditional machine learning models. Design scalable data pipelines and real-time/streaming architectures. Establish MLOps practices for model versioning, deployment, and monitoring. Collaborate with AI and Data teams to define and promote best practices in AI system design. Evaluate emerging AI technologies and define adoption strategies. Required Qualifications 10+ years of experience in software engineering and/or data science. 3–5+ years of experience in AI/ML architecture roles. Strong experience in AI/ML architecture and system design. Strong experience with RAG (Retrieval-Augmented Generation). Expertise in machine learning, deep learning, and NLP. Hands-on experience with LLMs and Generative AI (GPT, Llama, etc.). Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience with cloud platforms including AWS, Azure, and GCP AI services. Strong knowledge of data engineering, including ETL pipelines, data lakes, and streaming architectures. Experience with MLOps tools such as MLflow, Kubeflow, SageMaker, and Vertex AI. Understanding of APIs, microservices, and distributed systems. Knowledge of vector databases. Experience with DevOps/CI-CD pipelines for machine learning. Exposure to AI governance and compliance. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected. #LI-NS1 #LI-Onsite #Hiring

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