EIS Ltd logo
EIS Ltd

The platform for ambitious insurers.

Lead AI System Architect

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteSeniorTeam 1,001-5,000Since 2008H1B No SponsorCompany SiteLinkedIn

Location

United Kingdom

Posted

7 days ago

Salary

0

Seniority

Senior

Job Description

Lead AI System Architect

EIS Ltd

- Own the architecture of EIS's agentic platform: agent orchestration, MCP-native tool ecosystems, agent memory (short-term, long-term, semantic), planning, and tool/function calling patterns reusable across product domains. - Enable and provide support for domain teams for vertical insurance agents and the horizontal capabilities (RAG, retrieval, instructional flows) they compose from. - Define and enforce levels of autonomy — assistive, semi-autonomous, autonomous — with explicit human-in-the-loop checkpoints, escalation paths, and reversibility for high-stakes actions in regulated workflows. - Drive the MCP strategy: which capabilities EIS exposes as MCP servers to internal and partner agents, how our agents consume external MCP tools, and the tool registry, schemas, and versioning that keep this scalable. - Maintain the multiple stack approach as a first-class capability: Typescript, and Java. Help teams to pick the right stack per agent and keep all aligned through shared configuration artefacts, prompt management, and evaluation tooling. - Lead Architecture Decision Records (ADRs) for agentic capabilities; partner with Platform, Security/InfoSec, and DevOps so agents are observable, testable, sandboxed, and compliant by default. - Drive AI DevOps for agents: trace capture and replay, eval harnesses (task success, tool-use correctness, regression), prompt and model versioning, cost and latency budgets per agent, and progressive rollout strategies. - Set safe-AI standards for agentic systems: prompt injection and tool-poisoning defenses, action allow-lists, blast-radius controls, PII handling, data residency, and bias mitigation. Treat agent safety as a first-class architectural concern. - Translate insurance use cases into production agent designs with product strategists and domain architects; provide technical leadership and mentorship; communicate agentic trade-offs (autonomy, reliability, cost, safety) clearly to executives, customers, and engineers.

Job Requirements

  • Proven track record designing and shipping agentic systems in production - not demos, not prototypes - with meaningful autonomy and multi-step tool use.
  • Strong systems background: data-intensive, distributed, and latency-sensitive design in production environments.
  • Deep, hands-on experience with agent patterns: orchestration, planning, ReAct-style and graph-based agents, agent memory, tool/function calling, MCP, structured outputs. Sharp instinct for when an agent is the right answer and when a deterministic workflow is. Tracks the frontier and translates what matters into the roadmap.
  • Strong with the Java/Spring ecosystem.
  • Strong with Typescript and Python for AI (LangChain, LangGraph, or equivalent agent framework) - production experience required. Equally comfortable in both stacks.
  • Hands-on with vector databases including embedding models, hybrid search, re-ranking, and retrieval evaluation.
  • Experience with agent evaluation and observability: traces, replays, eval harnesses, guardrails, and cost/latency telemetry. Familiar with AI configuration-as-code.
  • Experience shipping AI services on cloud platforms (AWS, Azure, GCP) in regulated enterprise environments - security review, data residency, audit trails.
  • Familiarity with insurance, financial services, or another regulated domain is a plus.
  • Strong architectural judgment — pragmatic about build vs. buy, vendor vs. in-house, agent vs. deterministic workflow, model choice, and total cost of ownership.
  • Excellent written and verbal communication; able to make agentic trade-offs accessible to non-AI audiences.
  • Advanced degree in Computer Science, AI/ML, or a related field - or equivalent practical experience.

Benefits

  • Work with top talent and great colleagues who are industry and technology experts.
  • Operate in a Scaled Agile environment, diverse, multicultural and cross-functional teams
  • We are a global and modern software product company building world-class Enterprise InsurtTech Product powered by leading-edge technologies (microservices, reactive, cloud, continuous delivery)
  • Flexible working hours and remote work
  • Employee referral program
  • Incentives and Benefits**Allowances:**
  • Mobile phone and Internet allowance
  • Benefits:**
  • Pension on a Group Pension Scheme Basis
  • Medical/Dental/Optical Health Insurance for you and your dependents
  • Income Protection
  • Death in Service
  • Travel Insurance
  • [All pay components are based on objective, gender-neutral criteria within EIS’s Compensation Policy.]**

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