Senior AI Software Engineer, Risk - Insurance Claims Management

Lyft

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features. As a Data Scientist on the Risk Solutions team, you will drive a mission critical to both the safety of our community and the financial resilience of our platform. You’ll partner cross-functionally with Product, Engineering, Actuarial and Claims teams to transform complex data into actionable strategies. You will serve as an analytical lead for claims and road safety initiatives, designing experiments and predictive models aimed at reducing accident frequency and claim severity to optimize long-term risk outcomes. If you are a problem-solver eager to apply high-level data science to real-world safety and financial challenges, this role offers a direct path to high-impact innovation. RESPONSIBILITIES: * Leverage large-scale data and analytic frameworks to identify high-impact opportunities to reduce the total cost of claims.  * Partner with product managers, engineers, actuaries, claims, and operators to translate data insights into decisions and action * Construct and fit statistical, machine learning, or optimization models * Design and analyze online experiments; communicate results and act on launch decisions * Develop analytical frameworks to monitor business and product performance * Establish metrics that measure the health of our products, the business, as well as the driver experience * Collaborate with the Claims team to identify high-impact opportunities where data-driven interventions can reduce the total cost of claims. EXPERIENCE: * Degree in a quantitative field such as statistics, actuarial science, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience * 5+ years of industry experience in a data science, analytics, or management consulting role.   * End-to-end experience with data, including querying, aggregation, analysis, and visualization * Ability to manage, influence, negotiate, and inspire others in a fast-moving environment * Proficiency in SQL and Python * Experience with insurance claims analytics a plus * Strong oral and written communication skills, and ability to collaborate with cross-functional partners BENEFITS: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan with company match to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft

At Lyft, our mission is to improve people's lives with the world's best transportation. To accomplish this, we start with our community by creating an open, inclusive, and diverse organization.   About the Team The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities. This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions.This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately.   About the Role We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions.  RESPONSIBILITIES: * Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Claim Operations, Data Science, and other stakeholders. * Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams. * Understand claim handling workflows, identify bottlenecks and multiply their productivity by driving platform innovations and resolving pain points with AI automation solutions * Deliver scalable, reliable, high quality and well-tested solutions and code. * Collaborate closely with Lyft internal teams and external insurance partners to ensure technical alignment and scalable integrations. * Lead code reviews, design reviews, production on-call support and incident triaging process. * Invest in the engineering community through knowledge sharing via brown bags, tech talks, and suggesting improvements to team processes and engineering practices. PREFERRED EXPERIENCE: * B.S., M.S. in Computer Science or related technical field or relevant work experience. * 6+ years of professional experience building scalable distributed systems with high availability, observability and reliability requirements. * Proven ability to build end-to-end products and platforms, collaborating effectively with various stakeholders e.g. Backend, Frontend, Data Engineering, Data Science, Claim Operations, and Product teams. * Strong ability to reason about tradeoffs in system design, architecture, domain modeling, and operational cost. * Experience developing AI features using multimodal LLMs, RAG pipelines, agentic workflows, and other relevant AI frameworks. * Experience driving AI adoption or AI automation tools to enhance development efficiency * Experience improving performance with robust evals,agent tracing tools, fine-tuning LLMs, optimizing RAG pipelines and implementing feedback loops. * Proficiency in Python. Knowledge of React/Next.js and data analysis is a plus. * Experience with data processing frameworks and tools like Spark, Kafka, Airflow and cloud provisioning environments etc. * Strong oral and written interpersonal skills.   EXPERIENCE: * Prior experience in insurance, claims management, workflow orchestration or external vendors is a strong plus. * Has knowledge about AI safety and alignment considerations. * Background in machine learning, NLP, or related fields. * Experience with A/B testing and experimentation frameworks BENEFITS: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan with company match to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $148,000 - $185,000 , not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Alpha FMC

Alpha Financial Markets Consulting (Alpha) is a leading global consultancy to the financial services industry. We are a boutique management consulting firm that offers the world’s top industry players a competitive edge through our expertise and industry insight. Our team is of a uniquely high calibre and by focusing across the General Insurance & Specialty value chain, we build deep knowledge and experience within our industry. We have our headquarters located the United Kingdom, as well as offices in major global financial centres across the United States, France, Netherlands, Luxembourg, Switzerland, and Asia. The Insurance team works with industry leading carriers, brokers, market bodies, ancillary businesses, and technology providers to position our clients for future success. We have a fast growing team of dedicated consultants with deep experience from working both within the industry and consulting. Successful candidates should expect a diverse range of complex and strategic engagements across the market. As we continue to expand our client base and expertise, we are looking for individuals to join our team to support our growth journey. Please see below an outline of the responsibilities of the role as well as the requirements. ROLE OVERVIEW   We are seeking an exceptional Application & Software Engineering Lead with deep Insurance domain expertise to drive the design, delivery, and evolution of our core technology platforms. This is a high-impact leadership role sitting at the intersection of engineering excellence and insurance business capability, responsible for leading cross-functional engineering teams to deliver scalable, resilient, and compliant software solutions. You will act as a trusted technology partner to the world’s largest insurance firms, translating complex insurance workflows — spanning policy administration, underwriting, claims, and regulatory compliance — into robust, modern application architectures. You will set the technical vision, champion engineering best practices, and cultivate a high-performing team culture.   KEY RESPONSIBILITIES   ENGINEERING LEADERSHIP * Lead, mentor, and grow a team of software engineers, architects, and analysts across multiple squads. * Define and uphold engineering standards, coding practices, and quality frameworks across the function. * Drive a culture of continuous improvement, psychological safety, and technical craftsmanship. * Conduct regular 1:1s, performance reviews, and career development conversations with direct reports. * Collaborate with Engineering Managers, Product Owners, and Delivery Leads to ensure aligned, outcome-driven delivery. APPLICATION STRATEGY & ARCHITECTURE * Own the application roadmap for core insurance platforms, including policy management, claims, underwriting, and distribution systems. * Design and govern scalable, event-driven, cloud-native architectures appropriate for the insurance technology landscape. * Lead technical design reviews, architecture decision records (ADRs), and proof-of-concept evaluations. * Assess and manage technical debt; prioritise remediation in balance with feature delivery. * Evaluate and recommend third-party insurance software (e.g. Guidewire, Duck Creek, Majesco) and integration patterns. INSURANCE DOMAIN DELIVERY * Apply specialist knowledge of insurance business processes to shape technical solutions that meet regulatory and operational requirements. * Oversee delivery of insurance-specific capabilities: policy lifecycle management, claims handling, bordereaux processing, reinsurance ceding, and premium calculation engines. * Ensure compliance with industry standards and regulations including Solvency II, FCA requirements, market standards, and GDPR. * Act as a subject matter expert (SME) bridging business stakeholders and engineering teams on insurance domain requirements. DELIVERY & EXECUTION * Own end-to-end software delivery for one or more product areas; accountable for quality, timeliness, and technical integrity. * Champion Agile and DevSecOps practices; contribute to sprint planning, backlog refinement, and release governance. * Define and track engineering KPIs including lead time, deployment frequency, MTTR, and defect escape rate. * Manage stakeholder expectations and provide transparent reporting on engineering progress and risk. STAKEHOLDER & VENDOR ENGAGEMENT * Partner with Product, Actuarial, Risk, Compliance, and Operations teams to understand and shape business requirements. * Manage relationships with technology vendors and insurance software providers; lead procurement and contract negotiations where required. * Represent the engineering function in senior leadership forums, architecture boards, and client-facing engagements.   SKILLS & EXPERIENCE   ESSENTIAL * Significant experience (7+ years) in software engineering. * Demonstrable insurance domain expertise across one or more of: Specialty, London Market / Lloyds, or Reinsurance. * Strong command of modern application development: microservices, API-first design, event-driven architecture, and cloud platforms (AWS, Azure, or GCP). * Proven ability to lead distributed engineering teams delivering in an Agile/SAFe environment. * Deep understanding of insurance data models, regulatory frameworks (FCA, PRA, Solvency II), and compliance requirements. * Excellent communication skills with the ability to engage technical and non-technical audiences, including C-suite stakeholders. HIGHLY DESIRABLE * Consulting experience. * Background in data engineering or analytics within an insurance context (e.g. actuarial data platforms, claims analytics). * Experience delivering large-scale digital transformation or legacy modernisation programmes in insurance. * Relevant certifications: AWS Solutions Architect, Azure Solutions Architect, TOGAF, or equivalent. * Exposure to AI/ML applications in insurance (e.g. fraud detection, underwriting automation, NLP for claims). TECHNICAL COMPETENCIES * Languages & Frameworks: Java, Python, .NET, or similar enterprise-grade stack; REST and GraphQL APIs. * Cloud & Infrastructure: Kubernetes, Terraform, CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins). * Data & Integration: Kafka / event streaming, enterprise integration patterns, EDI/ACORD XML or JSON standards. * Security & Compliance: OWASP practices, data privacy engineering, secure SDLC.   WHAT WE OFFER   * Competitive base salary benchmarked to senior tech consulting market rates. * Annual performance bonus tied to individual and company outcomes. * Comprehensive benefits package including private medical insurance, life assurance, and income protection. * Hybrid working model with flexible arrangements to support work-life balance. * Generous pension scheme with enhanced employer contributions. * Continuous learning budget and access to industry conferences, certifications, and training programmes. * 25 days annual leave plus bank holidays, with option to buy additional days. * Employee assistance programme and wellbeing support.