Senior AI Software Engineer, Risk - Insurance Claims Management

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.

Shift Technology

Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve.        Your browser does not support the video tag. Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance. Learn more at www.shift-technology.com   ABOUT SHIFT TECHNOLOGY   Shift Technology is a global leader in insurance-grade AI, dedicated to transforming the industry’s most critical workflows. We build and deploy advanced AI solutions that empower insurance teams to work smarter, detect fraud and risk, assess liability, and automate complex claim processes with unmatched speed and accuracy. Trusted by over 120 customers across 30 countries, we combine deep industry expertise with cutting-edge agentic AI to help human experts make faster, more confident decisions and deliver exceptional service to millions of policyholders worldwide. Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures, and together we are creating the future of insurance. ABOUT THE TEAM This role is part of the Data Science team, which is the largest department in our organization, consisting of close to 200 Data Scientists throughout the world. Our Data Scientists work in a full-lifecycle role across a broad range of subjects, acquiring extensive technical and professional experience in data science, data engineering, software engineering, business understanding, and client engagement. TEAM IMPACT & FOCUS * The Data Science team actively participates in the definition and development of our suite of products focused on fraud detection, anti-money laundering, and claim automation. * We possess deep technical and professional experience across coding, data science, data engineering, and client interactions. * We work with a highly diverse set of data types, including structured data, free text, documents, and images. * Our company is small enough that each person’s achievements have an impact on our overall performance, yet big enough to be a world leader and innovator in our domain. * You will work alongside technical experts, playing a key role in deploying our enterprise-level solutions to our clients. * Local Context: You will be joining the Brazilian Data Science team, which works mostly for US Property & Casualty (P&C) customers. Our main focus is deploying solutions to new clients, maintaining client production, and contributing to the development of our Fraud Detection Solution. ROLE PURPOSE & RESPONSIBILITIES Your primary purpose is to deploy Shift Technology’s solutions to new clients and maintain the solution for existing clients, which includes managing data pipelines, executing ETL processes, and developing, testing, tuning, and deploying fraud detection models.   You will be in charge of a designated pod of clients and execute the following duties: * Client Implementation: Implement Claim Fraud Detection (CFD) for new clients, focusing on ETL setup, detection implementation, and workflow automation. * Feature Deployment: Roll out new platform features to existing clients. * Optimization: Drive continuous improvements across existing client environments and pipelines. * Stakeholder Engagement: Interact with internal and external stakeholders to define client roadmaps, collect user feedback, present business cases, and report regularly on solution performance. * Leadership & Mentorship: Actively mentor more junior data scientists on the team. REQUIREMENTS & SKILLS We are looking for a professional with 3+ years of experience in a similar role (deployment engineering, data science, data engineering, or software engineering).   * Software Engineering: A strong background in an OOP language (such as C#, C/C++, or Java) and SQL. We thrive on people who can write maintainable, production-quality code that runs every day without breaking. * AI Competency: AI-savvy with a clear understanding of statistics, machine learning, and data solutions. Must be able to communicate these concepts internally and explain how the product works to clients. * Client Interaction: Client-facing comfort. You need to be open to communicating directly with our clients on a regular basis. * Business Acumen: Business smart. We do not expect prior knowledge of the insurance sector, but you must be eager to learn and master the business aspects of our products. * Collaboration: A dedicated team player who works effectively with a diverse group of people and collaborates well across multiple teams. * Autonomy & Proactivity: Demonstrate a high level of autonomy, effectively anticipating risks, making informed decisions, and ensuring clear, consistent reporting and visibility for leadership and stakeholders. * Language: Fluency in English alongside good overall communication skills is a strict requirement. JOB OVERVIEW * Employment Type: This is a permanent, full-time CLT position. * Location: This is a Hybrid role based in São Paulo, Brazil. BENEFITS & PERKS * Health Insurance: AMIL ONE S6500 Black * Dental Insurance: AMIL DENTAL 205 * Meal Voucher: R$1,026 Extended Parental Leave: 30 daysPrivate Pension with company matchingMAD Days: 2 MAD Days per year (Make A Difference Days for paid volunteering). RECRUITMENT PROCESS 1. HR Screening Call 2. CodinGame Assessment 3. Technical Interview with a Data Scientist 4. Last Round Interview with the Hiring Manager To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight: * Flexible remote and hybrid working options * Competitive Salary and a variable component tied to personal and company performance * Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth * Generous PTO and paid holidays * Mental health benefits  * 2 MAD Days per year (Make A Difference Days for paid volunteering) Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details. AI tools are used to help review applications for this role. Read our AI in Recruitment Notice for what the AI considers, how to request a human review, and our most recent bias audit. At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company, without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria. Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email accommodation@shift-technology.com and we will work with you to meet your accessibility needs. Please be aware of scammers and only trust correspondence that comes from emails ending in "shift-technology.com". We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process. Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology.