As the Technical Platform Lead for our AI Submission Ingestion Platform, you will define and drive the end-to-end technical vision for how commercial insurance submissions move from inbox to underwriting decision. This role requires deep engineering expertise, with responsibility for shaping the platform’s technical direction, data flows, integration patterns, AI capabilities, and release readiness in close partnership with engineering, architecture, data science, and governance teams. You will own the technical roadmap for your area within the broader platform strategy, making informed trade-offs across scalability, reliability, data quality, model performance, and delivery sequencing. Rather than acting as a traditional product manager, you will operate as a technical leader who can translate business needs into platform capabilities, challenge design decisions, establish technical standards, and ensure the solution is built for long-term reuse, resilience, and operational excellence.
In the US, you will partner closely with underwriting, operations, and regional business leaders to understand workflow needs and convert them into technical requirements that engineering squads can execute. You will also work with peer leaders in the US and India, along with business-unit and regional technology teams, global platform engineering squads, architecture, data science, and risk and governance teams, to ensure the platform is designed and delivered with both business outcomes and technical integrity in mind. This is a high-impact role for a technical leader who has built and scaled platforms, understands AI/ML system design, and can establish a clear end-to-end vision for a platform that reduces manual work, improves decision quality, and creates durable capabilities the business can trust.
In this role, you will:
- Lead technical discovery with underwriters, operations leaders, and business partners to assess submission intake needs, platform readiness, and technical feasibility
- Define the end-to-end technical vision and roadmap for your platform area, including architecture, data flows, integrations, AI evaluation, and operational readiness
- Make technical trade-offs across performance, scalability, maintainability, data quality, and delivery sequencing, and clearly explain recommendations to engineering and business stakeholders
- Translate business needs into technical requirements, non-functional requirements, acceptance criteria, and release gates
- Establish platform standards for APIs, event flows, data contracts, observability, and integration patterns
- Define and track outcome measures such as straight-through processing rate, manual-review volume, time to onboard a product, turnaround time, model precision/recall, and operational defect rates
- Set the AI quality bar, including confidence thresholds, human-review rules, drift monitoring, and evaluation criteria required for release
- Convert one-off line-of-business requests into reusable, configurable platform capabilities
- Coordinate rollout across regions and ensure North America requirements are represented in platform decisions
- Validate key functionality in UAT and production, prioritize regression scope by business and technical risk, and ensure readiness for production support
- Partner with risk, governance, privacy, continuity, and disaster-recovery teams to ensure the platform meets enterprise controls
- Communicate release impacts, technical decisions, and business value clearly to both engineering teams and executive stakeholders
- 7+ years of experience in engineering, technical product, platform, or architecture roles, including experience leading complex platform or AI-enabled solutions
- Strong background in software engineering, platform architecture, or technical delivery, with demonstrated ability to shape end-to-end technical solutions
- Bachelor’s degree in engineering, computer science, or a related technical field, or equivalent experience
- Proven ability to define technical strategy, influence senior stakeholders, and make sound trade-offs using data and engineering judgment
- Hands-on experience with AI/ML-enabled products, including evaluation design, confidence thresholds, drift, and human-in-the-loop workflows
- Strong fluency across APIs, event-driven architectures, data models, and integration patterns
- Ability to analyze data independently using SQL or similar tools
- Experience working with cloud platforms, especially Azure, plus workflow orchestration and event streaming
- Clear, concise writing that can move decisions for both engineers and executives
- Commercial P&C insurance experience is a plus, including submission intake, clearance, underwriting workbenches, rating, or policy administration
- Experience with intelligent document processing, extraction platforms, ontologies, knowledge graphs, or canonical data models is a plus
- Prior hands-on experience as an engineer, architect, or data scientist is strongly preferred
- Agile delivery experience in a regulated enterprise is a plus
The pay range for the role is $150,000 to $205,000. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.
About UsSkills Required
- 7+ years of experience in engineering, technical product, platform, or architecture roles, including leadership of complex platform or AI-enabled solutions
- Strong background in software engineering, platform architecture, or technical delivery
- Bachelor's degree in engineering, computer science, or a related technical field, or equivalent experience
- Experience defining technical strategy, influencing senior stakeholders, and making data-informed engineering trade-offs
- Hands-on experience with AI/ML-enabled products, including evaluation design, confidence thresholds, drift monitoring, and human-in-the-loop workflows
- Strong knowledge of APIs, event-driven architectures, data models, and integration patterns
- Ability to independently analyze data using SQL or similar tools
- Experience with cloud platforms, especially Azure, workflow orchestration, and event streaming
- Clear, concise writing for engineering and executive audiences
- Commercial property and casualty insurance experience, including submission intake, underwriting workbenches, rating, or policy administration
- Experience with intelligent document processing, extraction platforms, ontologies, knowledge graphs, or canonical data models
- Prior hands-on experience as an engineer, architect, or data scientist
- Agile delivery experience in a regulated enterprise
Chubb Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Chubb and has not been reviewed or approved by Chubb.
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Healthcare Strength — Healthcare coverage includes multiple medical plan options with preventive care, plus dental and vision, alongside HSAs/FSAs, telemedicine, and wellness resources. The breadth of offerings is presented as comprehensive for a large insurance employer.
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Retirement Support — A 401(k) plan with company contributions anchors the financial benefits, complemented by life and disability insurance. These programs reinforce long-term savings and protection.
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Strong & Reliable Incentives — Performance-based and year-end bonuses are part of the total rewards, with structured reviews supporting incentive opportunities. These components provide compensation beyond base salary.
Chubb Insights
What We Do
Chubb is the world’s largest publicly traded property and casualty insurance company. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. The company is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs 31,000 people worldwide. Additional information can be found at: chubb.com.
