Quantiphi

Insurance

• Provide high-level functional guidance on P&C product development, underwriting, and claims optimization for both personal and commercial lines
• Lead/Advise on the implementation and migration of core insurance platforms (e.g., Guidewire, Duck Creek, or proprietary systems)
• Ensure products and processes comply with California-specific mandates, including wildfire mitigation pricing, Prop 103 requirements, and CDI rate-filing changes
• Map "As-Is" vs. "To-Be" business workflows to eliminate operational friction and improve the Combined Ratio
• Evaluate and integrate emerging Insurtech solutions, focusing on AI-enabled straight-through processing (STP) and advanced catastrophe (CAT) response modeling
• Translate complex insurance concepts into actionable technical specifications (Business requirement documents/Functional requirement documents) for engineering teams

Senior P&C Insurance SME

AI Engineer

• Quantphi is seeking a Technical Leader to drive our AWS AI/ML business.
• The AI/ML Leader is responsible for the overall technical strategy, planning, technical solutions and execution in driving Quantiphi’s AWS AI/ML business.
• Help define and drive our AWS AI/ML technical strategy in collaboration with the AWS Global Leader, sales, GTM and other supporting teams.
• Lead pre-sales technical discussions with customers and partners.
• Assist with the creation of proposals, statements of Work, presentations and other materials needed to acquire new business.
• Be the subject matter expert on Quantiphi’s AI/ML and related capabilities and offerings.
• Interact with AWS leadership to understand current and future product features, releases and products.
• Formulate Quantphi’s AWS AI/ML strategy (Solutions, offerings, sales strategy, etc.).
• Engage deeply with AWS sales, partner and AI/ML specialists.
• Work with Sales in support customer pursuits and practice revenue growth.
• Drive the strategy and section for the creation of packaged offerings and solutions in order to attain revenue targets.
• Develop of best practice and knowledge sharing through a number of methods (e.g. blogposts, white papers, articles, prototypes, proof of concepts, workshops, demos, breakout sessions).
• Assist in successfully delivering Customer engagements using AWS Ai/ML products and related solutions.
• Working and building relationships with client technology leaders (C-Level, VPs, Directors, etc.) to harness the benefits cloud call center technologies.
• Conduct knowledge sharing or training sessions on cloud or Quantiphi capabilities.
• Maintaining your technology edge by continuing to grow your technology acumen through continuous research and learning of future trend.

AI/ML Technical Practice Lead

Data Engineer

• Design, develop, and deploy forecasting models for product demand, pricing trends, and quotation accuracy using GCP-native services
• Conduct exploratory data analysis (EDA) and feature engineering on large-scale datasets
• Build AI agents for forecasting and quotation workflows using agentic frameworks
• Develop and maintain production ML pipelines on Vertex AI Pipelines and Cloud Composer
• Implement statistical experimentation frameworks to validate model improvements
• Collaborate with data engineering teams to design feature stores and data pipelines in BigQuery
• Optimize model performance through hyperparameter tuning and interpretability techniques
• Integrate ML model outputs into agentic workflows
• Document model architectures and present findings to stakeholders

Senior Machine Learning Engineer, Data Science

Software Engineer

• Develop and maintain frontend applications using Next.js, React, and TypeScript.
• Develop backend services using Python and serverless AWS technologies.
• Design and implement AWS Lambda functions to support application business logic.
• Develop and orchestrate workflows using AWS Step Functions.
• Design, develop, and maintain Amazon AppSync GraphQL schemas and resolvers.
• Implement and enhance multi-tenancy logic across application services.
• Build reusable, scalable, and responsive frontend components.
• Integrate frontend applications with backend APIs and cloud services.
• Participate in application architecture discussions and technical design reviews.
• Debug production issues and provide timely resolutions.
• Optimize application performance, scalability, and maintainability.
• Collaborate with cross-functional teams throughout the software development lifecycle.
• Follow coding standards, security best practices, and cloud-native development principles.
• Contribute to technical documentation, code reviews, and knowledge sharing.

Senior Application Developer

• Design, develop, and optimize data structures within Snowflake on Azure
• Build and manage complex ETL/ELT data pipelines using Azure Data Factory (ADF)
• Work proficiently within the Azure data ecosystem
• Develop complex SQL logic and perform query optimization
• Implement Snowflake security configurations
• Manage CI/CD pipelines using Azure DevOps
• Assist in developing automated testing frameworks for data pipeline validation
• Apply dimensional modeling concepts (Star and Snowflake schemas) to build efficient data structures
• Support the integration of financial data from platforms like Sage Intacct GL, SkyGen, and ClearWater
• Lead, mentor, and conduct code reviews for Junior Data Engineers.

Senior Data Engineer

• Design and develop data warehouse solutions using the Snowflake Data Platform on Azure
• Lead the development of data pipelines using Azure Data Factory (ADF)
• Implement incremental data loading using CDC and watermark-based methods
• Apply best practices for Snowflake optimization and security
• Translate detailed business requirements into technical data solutions
• Implement CI/CD pipelines using Azure DevOps
• Lead requirement gathering with stakeholders and assist in developing automated testing for data pipelines and data quality

Associate Architect – Data

Infrastructure Engineer

• Lead the delivery of advanced solutions in Application Development, Platform Engineering, Data Engineering, Analytics, and Machine Learning.
• Experience in workload migration from on-premise datacenter environments to AWS.
• Enable clients to leverage the full potential of cloud capabilities.
• Collaborate with cross-functional teams to deliver high-quality solutions.

Cloud Infrastructure Architect

• The Data Modeler is responsible for the structural design of the platform's canonical and derived data assets.
• Own the schema-level design of the Common Data Model — DIM (patient, person, encounter, provider, organization), FACT (observation, diagnosis, procedure, medication administration, claim line, encounter), BRIDGE (relationship-qualifier-aware), and REF (terminology and crosswalk) tables.
• Design columns, types, NULL semantics, hash key composition, SCD2 patterns, and partitioning strategies in coordination with the architect.
• Develop and maintain Source-to-Target Mappings (STTMs) for every source-system feed.
• Design data product schemas — the longitudinal patient mart, population analytics aggregations, risk adjustment marts, HEDIS measure pre-aggregations.
• Author and maintain unit specs at the model level under the spec-driven development framework.
• Collaborate with data engineers to translate model specs into dbt implementations.
• Participate in source-system data profiling — analyze sample data from each source to identify quality issues, edge cases, and modeling implications before specs are finalized.
• Define and enforce reference data (REF) management practices — terminology crosswalks (LOINC, SNOMED, ICD-10, RxNorm, CPT).

Architect – Data Modeller

Backend Engineer

• Lead the design, development, and maintenance of scalable Ruby on Rails applications
• Configure, optimize, and scale application servers for high-performance systems
• Architect and deploy Rails applications using AWS services
• Build, maintain, and scale Docker-based microservices with Kubernetes orchestration
• Drive migration projects from Blackboard to Canvas LMS
• Collaborate with DevOps and product teams on CI/CD, infrastructure-as-code, and monitoring
• Work with caching and background processing systems to optimize app performance
• Implement monitoring and alerting systems
• Participate in code reviews, provide technical leadership, and mentor junior engineers

Associate Architect – Software Development, Ruby on Rails

• Provide high-level functional guidance on P&C product development, underwriting, and claims optimization for both personal and commercial lines
• Lead/Advise on the implementation and migration of core insurance platforms (e.g., Guidewire, Duck Creek, or proprietary systems), ensuring business requirements align with technical capabilities
• Ensure products and processes comply with California-specific mandates, including wildfire mitigation pricing, Prop 103 requirements, and CDI rate-filing changes
• Map "As-Is" vs. "To-Be" business workflows to eliminate operational friction and improve the Combined Ratio
• Evaluate and integrate emerging Insurtech solutions, focusing on AI-enabled straight-through processing (STP) and advanced catastrophe (CAT) response modeling
• Translate complex insurance concepts into actionable technical specifications for engineering teams and present strategic roadmaps to executive leadership

Full-stack Engineer

• Design and build scalable full stack applications using React, TypeScript, and Next.js on the frontend and Python (FastAPI) and/or Node.js on the backend
• Architect and maintain RESTful APIs and microservices with strong versioning, backward compatibility, and API-first design principles
• Develop distributed systems leveraging event-driven architectures, messaging systems (Kafka, Pub/Sub), and asynchronous processing
• Build and integrate LLM-powered applications, including RAG pipelines, agentic workflows, and tool-calling frameworks (LangChain, LangGraph)
• Collaborate with AI/ML teams to integrate model serving platforms and orchestrate multi-agent systems
• Implement real-time capabilities using WebSockets, Server-Sent Events (SSE), or streaming frameworks
• Ensure high-quality engineering standards across testing (TDD/BDD), CI/CD pipelines, and infrastructure-as-code
• Deploy and manage cloud-native applications on GCP and/or Azure, leveraging Docker and Kubernetes
• Champion observability and monitoring using logging, metrics, and tracing (e.g., OpenTelemetry)
• Build developer-friendly tools including SDKs, documentation, and API portals
• Mentor engineers and contribute to system design, architecture reviews, and best practices

Full Stack Developer

• As an Associate Technical Architect at Quantiphi, you will play a key role in the design and implementation of complex software solutions using .NET and ReactJS technologies, along with cloud services from AWS or Azure.
• You will work closely with cross-functional teams, including developers, testers, product managers, and business stakeholders, to ensure the successful delivery of high-quality, scalable, and secure software systems.
• Associate Technical Architect will be responsible for connecting with clients for project briefing, consultation, installation, and close-out reviews
• Play the role of Lead Developer for a team comprising of 8-10 resources
• Help out in managing customer demands to ensure maximum satisfaction, and to maintain quality
• Engage in the negotiation of customer job demands and specifications as regards to resources and infrastructure; and assist in creating comprehensive technical documents
• Supervise activities between internal and external resources, and facilitate smooth workflow for service delivery
• Evaluate project data for accuracy, and take the lead in setting project targets and priorities.
• Give training and mentorship to team members to make them better on the job
• Be up to date with current field practices to enhance service standards and delivery
• Review customer technical demands and instructions and assist the internal team and customers to identify the best order for lifts and the most efficient methods of maintaining and using delivered materials
• Remain knowledgeable about current technology and carry out research to identify new trends that can be used to achieve maximum results.
• Carry out other technical related duties that may be required.
• Be abreast of the best coding and architecting practices. Ensuring the APIs are robust and easy to maintain and will coordinate with the rest of the team working on different layers of the infrastructure.

Associate Technical Architect – SD .Net

Machine Learning Engineer

• Lead the design and implementation of Feature Enhancements for internal Python SDK frameworks.
• Provide expert-level technical support and proactive maintenance for the Python SDK ecosystem.
• Develop and scale agentic workflows using modern Agentic Frameworks.
• Architect and deploy scalable, high-performance APIs using FastAPI.
• Design and maintain robust automated pipelines using Jenkins and GitLab Runners.
• Utilize Galileo for model evaluation and observability.

Senior Machine Learning Engineer

• Lead the architectural vision for a next-generation data layer designed specifically for Agentic AI.
• Design the end-to-end blueprint for a modern data layer that seamlessly integrates structured, unstructured, and relational (Graph) data for AI agents.
• Oversee the health, security, and performance optimization of our data clusters (Snowflake/Kinetica), ensuring 99.9% availability for mission-critical AI workflows.
• Act as the 'Face of Engineering' for the customer. Lead discovery workshops, manage technical expectations, and align the architectural roadmap with their business objectives.
• Establish benchmarks for data latency and retrieval accuracy, ensuring the data layer can keep pace with the real-time demands of agentic execution.

Architect, Data Engineer

Platform Engineer

• Design and implement scalable infrastructure for LLM and GenAI workloads across multi-GPU environments.
• Perform GPU profiling, benchmarking, and performance optimization for distributed training workloads.
• Manage and schedule compute-intensive jobs using Slurm-based clusters and OpenShift/Kubernetes environments.
• Enable and optimize the NVIDIA GPU stack (CUDA, cuDNN, NCCL, Triton, RAPIDS, etc.).
• Collaborate with cross-functional teams to deploy models in research and production environments.
• Build and support GenAI pipelines (fine-tuning, RAG, multi-modal inferencing, LLMOps).
• Develop reusable infrastructure templates using tools like Terraform and Helm.

Senior P&C Insurance SME

AI/ML Technical Practice Lead

Senior Machine Learning Engineer, Data Science

Senior Application Developer

Senior Data Engineer

Associate Architect – Data

Cloud Infrastructure Architect

Architect – Data Modeller

Associate Architect – Software Development, Ruby on Rails

Senior P&C Insurance SME

Full Stack Developer

Associate Technical Architect – SD .Net

Senior Machine Learning Engineer

Architect, Data Engineer

Architect – Platform Engineer