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Über diese Senior AI Polyglot Engineer Stelle bei MSIG USA

MSIG USA · Vor Ort · NJ-Warren

MSIG USA continues to grow! 

Company Overview:

MSIG USA is the US-based subsidiary of MS&AD Insurance Group Holdings, Inc., one of the world’s top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+ countries and regions. Leveraging our 350-year heritage, MSIG USA brings the financial strength, expertise, and global footprint to offer commercial insurance solutions that address your business’s unique risks.

About the Role

We are seeking a Senior AI Polyglot Engineer to join a product domain team within our Commercial Property & Casualty (P&C) insurance business, supporting areas such as Underwriting, Claims, Finance, and Reinsurance. This role combines broad software engineering expertise with advanced agentic development practices, using AI coding agents to accelerate delivery while maintaining full engineering accountability.

As part of the team, you will share end-to-end ownership of the domain's technology capabilities, from understanding business needs and designing solutions through implementation, deployment, production support, and continuous improvement. Your responsibilities span applications, user experiences, services, integrations, databases, data pipelines, and automation.

This role is organized around business capabilities rather than technology layers. You will work across the components necessary to deliver business outcomes rather than operate exclusively as a frontend, backend, or data engineer. You will collaborate closely with business stakeholders, product colleagues, adjacent domain teams, and shared platform teams.

Our technology stack includes .NET/C#, React, SQL, Azure, Python, and data integration and orchestration technologies including Azure Data Factory. Agentic software development is central to how we deliver solutions. You will direct AI coding agents throughout planning, implementation, testing, and troubleshooting, while independently validating their output and retaining accountability for solution design, correctness, security, maintainability, and production readiness.


Key Responsibilities


  • Own engineering work within your assigned domain from business discovery and solution design through release, production support and ongoing improvement.
  • Develop an understanding of the domain’s workflows, business rules, data, controls and dependencies; use that understanding to make sound technical decisions.
  • Deliver complete capabilities across user interfaces, services, APIs, databases, integrations, data pipelines and supporting Azure infrastructure.
  • Collaborate with product and business stakeholders to clarify requirements, define acceptance criteria, prioritize improvements and evaluate business outcomes.
  • Translate requirements into bounded agent-executable tasks, supplying relevant context, architectural constraints, repository conventions and verification criteria.
  • Direct AI coding agents in codebase exploration, implementation, testing, debugging, and documentation, while independently validating their output.
  • Build reliable applications, integrations, and data movement workflows with appropriate validation, reconciliation, error handling, recovery, observability, and auditability.
  • Lead technical design decisions, evaluate trade-offs, and recommend practices that improve reliability, maintainability, and delivery effectiveness.
  • Maintain and improve existing domain systems, addressing technical debt, performance issues, operational failures and changing business requirements.
  • Coordinate contracts and dependencies with other domain and platform teams while following enterprise architecture, security and governance standards.
  • Protect sensitive information and control agent access through approved tools, least privilege, secure credential handling and appropriate human approvals.

Required Qualifications


  • Seven or more years of professional software engineering experience delivering and supporting production systems.
  • Demonstrated ownership of business capabilities across multiple technical layers, rather than experience confined to a single development specialty.
  • Strong hands-on development skills in .NET/C# and React, with practical Python experience for automation, integrations or data processing.
  • Strong SQL skills covering relational design, query optimization, transactions, data integrity and troubleshooting.
  • Experience developing and operating solutions on Azure, including building and maintaining Azure Data Factory pipelines.
  • Demonstrated hands-on experience using AI coding agents beyond autocomplete for complex, multi-file development, automated testing, and iterative debugging.
  • Experience orchestrating agentic development workflows, including task decomposition, effective prompting, architectural guardrails, and independent validation of AI-generated artifacts.
  • Understanding of API design, distributed systems, automated testing, security, Git, CI/CD and production diagnostics.
  • Ability to learn unfamiliar technologies and domain concepts, work through ambiguity and communicate technical decisions clearly.
  • A degree in computer science, engineering or related discipline, or equivalent practical experience.

Preferred Experience


  • Commercial Property & Casualty insurance, particularly Underwriting, Claims or Finance, or other regulated business environments.
  • Working in cross-functional product teams with ongoing responsibility for both delivery and operation of their systems.
  • Modernizing established applications and connecting transactional systems with data-processing platforms.
  • Experience with advanced agentic development practices, including repository-level instructions, reusable agent skills, MCP integrations, and multi-agent workflows.
SALARY: The estimated salary range for this position is $190,000.00 - $210,000.00 per year. This is a good-faith assessment of the salary range for this position only. In determining the actual salary within this range, MSIG USA will consider a candidate’s relevant experience, location, and other job-related factors.
 
Additional Benefits:  
Healthcare and Retirement Benefits
Comprehensive medical, dental, and vision coverage
401(k) with a generous employer match and profit-sharing contribution
Wellness incentive program
Life and accidental death and dismemberment (AD&D) insurance
Flexible spending programs
Short-term and long-term disability plans
 
Additional Benefit Programs
Paid time off program
Paid charitable leave
Paid parental leave
Tuition reimbursement program
Personal insurance (auto/homeowners) discounts
 
 
#LI-HYBRID
 
#LI-REMOTE, #LI-HYBRID, #LI-ONSITE
 

It's an exciting time for our company and a great opportunity to join a financially sound and growing global insurance group!  


It is the policy of MSIG USA to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, MSIG USA will provide reasonable accommodations for qualified individuals with disabilities.

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Über MSIG USA

MSIG Holdings (U.S.A.), Inc. (MSIG) is a wholly owned subsidiary of the MS & AD Insurance Group Holdings, Inc. – one of the top ten property-casualty insurance groups world-wide. Our Group has capital in excess of $25 Billion, operations in more than 40 countries and nearly 40,000 personnel located globally. MSIG in the U.S. is comprised of three insurance companies with licenses in all fifty states as well as Puerto Rico and the District of Columbia. These companies and five other subsidiaries, deliver state of the art risk financing programs, insurance products, risk engineering and claims management services that enable our clients to effectively and efficiently manage their risks. Our in

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