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Insurance Operations Jobs in Detroit, MI (NOW HIRING)

GENERAL RV CENTER

Account Manager

Wixom, MI · On-site

$22 - $25/hr

Prior experience in an administrative and or customer support role managing client accounts, insurance operations, or customer service environments preferred * Ability to assess client needs ...

GENERAL RV CENTER

Account Manager

Wixom, MI · On-site

$22 - $25/hr

Prior experience in an administrative and or customer support role managing client accounts, insurance operations, or customer service environments preferred * Ability to assess client needs ...

Ilitch Companies

Risk & Finance Analyst

Detroit, MI · On-site

The Risk and Finance Analyst will play a critical role in supporting the operations and financial management of two captive insurance companies. This position is responsible for comprehensive risk ...

Ilitch Companies

Risk & Finance Analyst

Detroit, MI

The Risk and Finance Analyst will play a critical role in supporting the operations and financial management of two captive insurance companies. This position is responsible for comprehensive risk ...

Macomb County Auto Home & Life Inc

Be Seen First

AAA Insurance Agent

Washington, MI · On-site

$57K - $124K/yr

Work closely with agents and internal staff to ensure smooth day-to-day operations Why Join Us ... Opportunity to grow within the insurance industry * Multiple carriers and products to offer ...

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All JobsInsurance Operations JobsInsurance Operations Jobs in Detroit, MI

Insurance Operations information

See Detroit, MI salary details

$24.7K

$69.8K

$155K

How much do insurance operations jobs pay per year?

As of Jul 15, 2026, the average yearly pay for insurance operations in Detroit, MI is $69,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,487.00 and $87,393.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Insurance Operations position, and why are they important?

To excel in Insurance Operations, you typically need a background in insurance processes, strong analytical abilities, and attention to detail, often supported by a relevant degree or industry certifications such as AINS or CPCU. Familiarity with insurance management systems, claims processing software, and regulatory compliance tools is important. Excellent communication, organizational, and problem-solving skills help individuals collaborate across departments and handle complex tasks. These competencies ensure seamless policy administration, regulatory adherence, and effective service delivery in a dynamic insurance environment.

What are the main responsibilities and daily tasks of someone working in Insurance Operations?

Professionals in Insurance Operations are responsible for overseeing policy administration, managing claims processing, ensuring regulatory compliance, and coordinating workflow between underwriters, agents, and clients. Daily tasks can include reviewing insurance applications, updating policy information, reconciling data, generating reports, and resolving operational issues. The role often involves cross-department collaboration to streamline procedures and improve customer service standards. If you enjoy working in a process-driven environment and contributing to team efficiency, Insurance Operations offers a dynamic and rewarding career path.

What is an Insurance Operations job?

An Insurance Operations job involves managing and optimizing the processes that support an insurance company's daily functions. This includes underwriting, claims processing, policy administration, compliance, and customer service. Professionals in this role ensure efficiency, accuracy, and regulatory adherence in handling policies and claims. They may also work on process improvements, technology integration, and risk management to enhance operational performance. Strong analytical, problem-solving, and communication skills are essential for success in this field.

What are the most commonly searched types of Insurance Operations jobs in Detroit, MI? The most popular types of Insurance Operations jobs in Detroit, MI are:
What are popular job titles related to Insurance Operations jobs in Detroit, MI? For Insurance Operations jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Insurance Operations jobs in Detroit, MI look for? The top searched job categories for Insurance Operations jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Insurance Operations jobs? Cities near Detroit, MI with the most Insurance Operations job openings:
Insurance Operations jobs near you
Principal Machine Learning

Principal Machine Learning

AAA Life Insurance Company

Livonia, MI • On-site, Remote

Full-time

Re-posted 4 days ago

Job description

Overview
General Purpose
At AAA Life, we are building a future-focused team using AI and automation to transform life insurance operations. If you're driven by meaningful work and want to deliver solutions that matter to millions of members, this is your opportunity.
We are seeking a Principal Machine Learning Engineer to serve as a technical leader within our Automation and AI organization. This role is accountable for defining and driving AI strategy, architecture, and delivery across multiple high-impact enterprise initiatives. The Principal MLE will lead the development of production-grade AI and agentic systems, ensuring successful deployment of business-critical solutions across Claims, Underwriting, and Member Services. These systems directly impact operational efficiency, decision quality, and customer experience at scale. This role requires deep expertise in modern AI, particularly in designing and deploying autonomous, agentic systems, an emerging and highly specialized area with a limited talent pool. This is a hands-on technical leadership role responsible for delivering enterprise-scale AI solutions where architectural decisions, system reliability, and model behavior have direct and measurable business impact.
Responsibilities
Position Responsibilities
  • Establish engineering standards, best practices, and evaluation frameworks for AI systems
  • Lead technical decision-making for model selection, system design, and deployment strategies
  • Act as the subject matter expert for agentic AI and modern LLM-based systems within the organization
  • Architect and deliver production-grade, multi-step AI agents capable of autonomous reasoning, tool orchestration, task decomposition, memory management, and human-in-the-loop escalation-requiring specialized expertise in emerging agentic AI frameworks
  • Design and deliver AI systems on enterprise cloud platforms (e.g., AWS, Azure), including LLM services (AWS Bedrock, Azure OpenAI), supporting high-volume, business-critical workflows with strict requirements for reliability, auditability, and performance
  • Own the agent evaluation and observability stack, including benchmarking, tracing, regression testing, and performance monitoring
  • Optimize LLM inference costs and resource utilization for production workloads
  • Partner with business leaders to identify, prioritize, and shape AI-driven initiatives aligned with organizational goals
  • Translate complex business problems into scalable AI solutions with measurable impact
  • Drive roadmap planning and investment decisions related to AI and automation
  • Collaborate with IT, data engineering, and operations teams to integrate AI solutions into enterprise systems
  • Mentor and develop machine learning engineers and data scientists
  • Provide technical guidance and elevate team capabilities in modern AI practices
  • Ensure responsible and compliant use of AI systems, including managing risks related to model behavior, data usage, and regulatory considerations in a highly regulated industry
  • Lead evaluation and integration of external AI platforms and vendors, including assessment of cost, intellectual property, scalability, security, and long-term architectural impact

Core Competencies
  • Excellent communication skills and ability to explain ML results to non-technical audiences
  • Proven ability to operate with a high degree of autonomy and accountability
  • Experience driving adoption of AI solutions in enterprise environments
  • Ability to influence technical direction and investment decisions across organizational boundaries
  • Track record of building engineering culture and raising the technical bar within a team

Qualifications
Education/Experience
  • Master's degree (or higher) in Computer Science, Engineering, Statistics, or related quantitative field
  • 10+ years of hands-on experience in machine learning, AI, or related disciplines
  • 2+ years of recent experience architecting and delivering LLM-based and agentic AI systems in production
  • Proven track record of delivering end-to-end AI solutions, from problem definition through production deployment
  • Strong programming skills in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow)

Preferred Qualifications
  • Experience building agentic systems for document-heavy workflows (e.g., claims, underwriting, policy processing)
  • Experience with enterprise cloud AI platforms (AWS Bedrock, SageMaker, Azure OpenAI)
  • Experience with agent frameworks (LangGraph, LangChain, AutoGen, CrewAI, or equivalent)
  • Experience with AI observability and evaluation tools (e.g., Langfuse, LangSmith, or similar)
  • Familiarity with Model Context Protocol (MCP) or equivalent tool-integration standards
  • Experience deploying AI systems in regulated environments (insurance, finance, healthcare)
  • Experience leading AI architecture across multiple teams or domains

Essential Job Functions
While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel and talk or hear. Specific vision abilities required by this job include close vision, distance vision, color vision, depth perception, and ability to adjust focus.
This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodations will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements.
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