Lead AI Engineer (AI Systems & Automation) - Remote (UK)
WFA Digital Insight
The demand for AI engineers in the insurance sector has skyrocketed, with a 25% growth in job postings over the past year. As a leader in AI systems and automation, Bjak is at the forefront of this trend. With their commitment to technical excellence and innovation, this role offers a unique chance to drive real impact in the industry. Candidates should be prepared to showcase their expertise in AI orchestration, distributed systems, and production-grade software development, as well as their ability to lead cross-functional teams. Before applying, consider your experience with AI workflows, system architecture, and observability tools.
Job Description
About the Role
As a Lead AI Engineer at Bjak, you will be responsible for designing, developing, and delivering production-ready AI systems that power insurance workflow automation. This role is critical to the company's mission of simplifying insurance and financial services for millions of users. You will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems.The day-to-day work will involve collaborating with various teams, including product, backend, DevOps, and operations, to ship end-to-end AI features. You will also be responsible for driving engineering decisions around latency, reliability, cost, and scalability of AI services. Your expertise in AI orchestration, distributed systems, and production-grade software development will be crucial in this role.
Bjak values technical excellence, speed of execution, and practical decision-making. As a lead, you are expected to raise engineering standards, guide system design decisions, and ensure teams deliver reliable production systems.
What You Will Do
- Lead the design and development of production AI systems powering insurance workflow automation
- Architect AI orchestration layers connecting LLMs, backend services, and business workflows
- Own end-to-end AI system design, including inference pipelines, routing, caching, and fallback strategies
- Drive engineering decisions around latency, reliability, cost, and scalability of AI services
- Lead implementation of observability systems (logging, monitoring, tracing, alerting)
- Review and guide backend AI implementation across engineering teams
- Collaborate with product, backend, DevOps, and operations teams to ship end-to-end AI features
- Debug complex production issues across distributed AI systems and lead root-cause analysis
- Define engineering standards and best practices for AI system development
- Mentor engineers and elevate technical execution quality across teams
What We Are Looking For
- Strong backend or AI engineering experience in production environments
- Experience building or scaling AI systems (LLMs, embeddings, recommendation systems, or automation workflows)
- Strong system design skills with experience in distributed systems
- Experience with production inference pipelines and AI orchestration
- Strong debugging ability in high-scale, latency-sensitive environments
- Experience with observability, monitoring, and incident response
- Proven ability to lead technical execution in cross-functional teams
- Strong ownership mindset and ability to drive projects end-to-end
- Comfortable working in fast-paced, globally distributed teams
- Experience with Python, Node.js, LLM APIs, SQL/NoSQL databases, Kubernetes, and Docker
Nice to Have
- Experience with distributed systems tools and observability stacks
- Knowledge of insurance workflows and financial services
- Familiarity with modern engineering practices and scalable architecture
- Certification in AI, machine learning, or a related field
Benefits and Perks
- Opportunity to work on intelligent insurance automation systems
- Collaborative work environment with a global engineering organization
- International impact with products used by millions across Southeast Asia and beyond
- Learning and development budget for continuous technical growth
- High ownership culture with the ability to lead critical AI systems end-to-end
- Modern engineering practices with a strong focus on scalability and reliability
- Flexible remote work arrangements with a stipend for home office setup
- Access to cutting-edge technologies and tools
- Competitive compensation package with equity options
- Comprehensive health insurance and wellness programs
- Generous PTO policy with paid holidays and sick leave
How to Stand Out
- Develop a strong portfolio showcasing your experience with AI systems, distributed architecture, and production-grade software development.
- Highlight your ability to lead cross-functional teams and drive technical execution.
- Be prepared to discuss your experience with AI orchestration, observability tools, and incident response.
- Showcase your knowledge of insurance workflows and financial services, even if it's not direct experience.
- Prepare to talk about your approach to debugging complex production issues and leading root-cause analysis.
- Research the company's technology stack and be ready to discuss how your skills align with their needs.
- Don't be afraid to ask about the company culture, team dynamics, and opportunities for growth and development.
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