PURE
Director, AI Solutions Engineer
Remote - US · Director · Full-time
Sponsorship not specified$155k-$180kDetected 1 day ago
PythonFastAPICode ReviewGitDatabricksAWSCloud PlatformsDockerCI/CDMachine LearningPyTorchscikit-learnData ScienceNLPLLMsRAGAgentic AILangGraphAI OrchestrationIncident ResponseComplianceCollaborationActuarial ScienceUnderwriting
About the role
- Join our AI & Engineering team in transforming technology platforms, driving innovation, and making a significant impact on our members' success.
- You will work alongside talented professionals reimagining and re-engineering operations and processes that are critical to our business - from underwriting and claims to member experience and risk management.
- Your contributions will help PURE improve operational performance, accelerate new digital capabilities, and fuel growth through innovation.
Responsibilities
- Build & Deploy AI Solutions
- Partner with the Lead AI Solutions Architect and AI Data Engineer to design, build, and deploy secure, scalable AI solutions: APIs, services, pipelines, agents, containers, and serverless functions that meet availability, performance, and security requirements.
- Build and operationalize LLM-enabled products including copilots, knowledge assistants, summarization engines, policy Q&A tools, and agentic workflows using Claude Code, OpenAI Codex, GitHub Copilot, AWS AgentCore Gateway, AWS AgentCore Harness, Databricks, and comparable LLM platforms.
- Build and maintain Databricks-backed knowledge bases and AI agent capabilities where appropriate.
- Deliver governed data and features for ML and GenAI - curated datasets, feature pipelines, and feature serving - supporting both training workflows and real-time inference with consistency, caching, backfill support, and latency SLOs.
- Build reusable AI agent skills, tool definitions, prompts, guardrails, and orchestration patterns that can be shared across PURE's AI products and engineering teams.
- Use LangChain, LangGraph, or comparable frameworks where appropriate to build agent workflows, tool-use orchestration, stateful reasoning patterns, and multi-step automation.
- Implement trust, safety, and governance controls including PII handling, prompt-injection defenses, content filtering, and policy-based access controls - built in close partnership with security and risk teams.
- Define and maintain data lineage and model versioning practices so every production inference can be traced, reproduced, and reviewed.
- Develop evals and red-teaming protocols to proactively identify failure modes in LLM-powered systems before they reach members.
Requirements
- Experience with AWS AgentCore Gateway, AWS AgentCore Harness, LangChain, LangGraph, or comparable agent frameworks is highly valuable..
- ability to write clean, maintainable, production-grade code with FastAPI or similar frameworks, and package AI capabilities as APIs, services, workers, or containerized applications..
- Familiarity with cloud-native AI workloads on AWS - including cost governance and performance tuning at scale.
- Hands-on experience with AI-assisted software engineering tools such as Claude Code, OpenAI Codex, GitHub Copilot, or comparable developer productivity platforms.
Nice to have
- Background in insurance, fintech, or other regulated industries, with familiarity with compliance frameworks such as SOC 2, NAIC model laws, or GDPR.
- Experience with LLM observability tooling: LangSmith, Weights & Biases, Dynatrace LLM monitoring, OpenTelemetry, or equivalent.
- Familiarity with ML frameworks (PyTorch, scikit-learn) for classical ML alongside LLM-based approaches.
- Experience with fraud detection, document intelligence, risk scoring, or actuarial data systems.
- Experience deploying AI applications as containerized services on AWS ECS or similar cloud-native platforms.
- Experience designing and implementing agent skills, tool registries, function-calling interfaces, or reusable agent capabilities for enterprise AI systems.
- What Success Looks Like:
- LLM-powered products shipped to production with measurable impact on member experience and operational efficiency.
Compensation
- The base salary for this role can range from $155,000 to $180,000 based on a full-time work schedule.
Company info
- We want to be transparent about what we expect from each other. From PURE, you can expect:
- Opportunities to stretch and grow: your professional and personal development matters to us. We're committed to providing experiences through on-the-job learning and professional development that increase your impact and rewards.
- Clarity and kindness: you can rely on us to be open, honest and supportive, offering clarity on what success looks like.
- Support in good times and bad: we believe in showing up for each other consistently, not only when it's easy. You can expect a thoughtful partner, even when we disagree.
- We're a member-owned property and casualty insurer designed exclusively for financially successful families and driven by a purpose of doing what is right for our members.
- We provide exceptional service, hospitality and care, we partner with our members to help prevent losses and we create smart insurance solutions at fair prices.
- We aim for our members to love their insurance.
- It is our mission is to create a membership experience so compelling that our members never want to leave.
- We want to be transparent about what we expect from each other.
- From PURE, you can expect:
- Opportunities to stretch and grow: your professional and personal development matters to us.
- We're committed to providing experiences through on-the-job learning and professional development that increase your impact and rewards.
- Support in good times and bad: we believe in showing up for each other consistently, not only when it's easy.
- You can expect a thoughtful partner, even when we disagree.
- A community that cares: we are committed to sustaining a community in which each person feels cared for as an individual.
- We lift each other up, celebrate wins together and support one another through challenges in work and life.
- Faster, higher-quality underwriting, claims, and member service decisions enabled by production AI.
- building a positive culture is everyone's responsibility, based on care, respect and openness to diverse perspectives.
- The base salary for this role can range from $155,000 to $180,000 based on a full-time work schedule.
- An individual's ultimate compensation will vary depending on job-related skills and experience, geographic location, alignment with market data, and equity among other team members with comparable experience.
- To ensure a successful onboarding experience, all new hires must w
This listing is sourced directly from PURE's careers page and normalized into a canonical job model.