Gen AI Platform Team Leader

We’re seeking a visionary Team Lead to lead a AI & backend-focused team building our next-generation Generative AI Platform. This platform will empower cross-functional teams across Earnix to design and deploy AI-driven solutions, leveraging cutting-edge advancements in generative AI, cloud-native architectures, and rapid innovation cycles.

In this role, you’ll manage a high-performing backend team responsible for building scalable microservices and cloud-based infrastructure, while integrating advanced AI capabilities such as evaluation frameworks, RAG pipelines, knowledge base management, embeddings, LLMs, chatbot assistants, and agent orchestration.

What You’ll Do

Lead and mentor a backend engineering team developing a scalable, cloud-native AI platform. You’ll foster a culture of technical excellence, collaboration, and ownership while ensuring delivery of robust, production-grade systems.

Define the technical direction and architecture for backend services, focusing on microservices, distributed systems, and AWS-based infrastructure to support AI-driven applications.

Integrate cutting-edge AI capabilities into the platform, including RAG pipelines, embeddings, LLM orchestration, and evaluation frameworks, ensuring performance, scalability, and security.

Collaborate with product and engineering teams to translate business needs into backend solutions that enable AI-agent use cases and accelerate innovation across the organization.

Drive agile processes and best practices, leveraging tools like Jira to manage sprints, track progress, and continuously improve team efficiency and delivery quality.

Scale the team strategically, hiring and onboarding top talent while mentoring future leaders to support the growth of the Gen AI Platform group.

Requirements:

You’ll Do It Using:

7+ years of experience in software R&D, including 2+ years in a leadership role managing backend engineering teams.

Strong backend development expertise, including microservices architecture, distributed systems, and cloud-native design on AWS.

Proficiency in Python for building scalable backend services and integrating AI components.

Hands-on experience with Generative AI technologies, including LLMs, RAG pipelines, embeddings, and agent frameworks.

Familiarity with AI development ecosystems, such as AWS Bedrock, LangChain, LangGraph, OpenAI APIs, and vector databases.

Experience with agile methodologies and tools (e.g., Jira) to manage team workflows and deliver high-quality software in fast-paced environments.

Advantages:

Familiarity with Machine Learning or Data Science concepts, enabling better collaboration with AI-focused teams.

Prior experience in AI/ML infrastructure, MLOps, or agent orchestration.

Exposure to data engineering, security, or AI ethics considerations in product development

You’ll Excel By

Demonstrating exceptional leadership and communication skills, inspiring and organizing teams to achieve ambitious goals.

Thinking strategically and acting decisively, balancing technical depth with business priorities to deliver impactful solutions.

Fostering collaboration and trust, building strong relationships across product, engineering, and data science teams.

Being curious and adaptable, staying ahead of AI trends and continuously learning to integrate emerging technologies into the platform.

Driving a culture of ownership and accountability, empowering your team to innovate and deliver with speed and quality.

Position Intro:

Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.