19 hours ago
Jersey City, NJ, USAStaff+
Responsibilities
- Define reference architectures, reusable agent services, engineering standards, and build-versus-buy decisions across the software portfolio.
- Write production code, review designs and pull requests, resolve complex technical issues, and coach engineering teams through delivery and adoption.
- Implement agent workflows involving tool calling, orchestration, context, memory, retries, execution limits, and human approvals.
- Build RAG, structured data access, API, and MCP integrations with permission-aware retrieval and source traceability.
- Establish AI evaluation practices covering test datasets, task success, groundedness, tool-call accuracy, adversarial testing, and release acceptance.
- Own production readiness through versioning, monitoring, agent tracing, fallbacks, rollback, reliability tracking, and incident support.
- Apply security and governance controls including least-privilege tool access, sensitive-data protection, prompt-injection defenses, auditability, and approval controls.
- Advance AI-assisted engineering practices such as coding agents, AI code review, and test generation.
- Prioritize portfolio use cases, maintain the technical roadmap, and share reusable components and lessons across teams.
Requirements
- 10+ years of software engineering experience, including 4+ years leading AI and agentic architecture or technical delivery across multiple teams, or equivalent demonstrated expertise.
- Multiple LLM or agentic applications deployed and operated in production.
- Strong Python, API, distributed systems, RAG, and agent orchestration skills.
- Experience with cloud deployment, containers, CI/CD, evaluation, and observability.
- Experience with AWS, Amazon Bedrock including AgentCore, LangGraph, Stands or comparable agent frameworks, MCP, and semantic layers, ontologies, or knowledge graphs.
- Experience with insurance or other regulated data products and AI-enabled software development lifecycle practices.
- Ability to explain technical trade-offs and influence technical and business stakeholders.
Benefits
- Health insurance, a retirement plan, disability benefits, and paid time off.
- Hybrid work arrangement.
- Work flexibility plus coaching and training support.
- Base salary and a competitive total rewards package are determined by role, experience, skill set, and location; no specific amount is stated.
Categories
About Verisk
Verisk builds data analytics platforms, predictive models, and software used by property and casualty insurers to underwrite, price, detect fraud, and manage claims. The company monetizes industry-scale datasets, catastrophe risk models, and workflow tools sold by subscription and transaction to insurers, reinsurers, and brokers worldwide. Founded in 1971 and headquartered in Jersey City, New Jersey, Verisk is a public company trading on Nasdaq (VRSK).