Lead Engineer - AI Enablement

About the role

Kpler seeks a Lead AI Engineer to establish and guide its new AI Enablement team. This position involves setting technical direction, designing architecture for internal AI tools, and managing a small team. The role focuses on delivering AI solutions across all company functions, from engineering to finance.

Key facts

What you'll do

• Build, lead, and expand the AI Enablement team, overseeing technical direction, delivery, and initial people management, with plans for increased management responsibilities.
• Define the architecture for Kpler's internal AI tools, including agents, assistants, shared frameworks, knowledge bases, and system integrations.
• Develop and deploy AI solutions tailored for specific functions, collaborating with department champions from initial discovery to production and iteration.
• Create an AI software factory for engineering by codifying standards, architectural principles, and raising AI-assisted development across all teams.
• Implement security measures and responsible AI practices for connecting AI systems to core company systems, including access control, data privacy, and human oversight.
• Actively participate in designing, building, and deploying critical platform components.
• Establish and monitor success metrics for internal AI, such as adoption, usage, automated workflows, time savings, and ROI, reporting progress to stakeholders.
• Enhance AI capabilities throughout the company via champion networks, sharing sessions, documentation, and enablement initiatives.
• Contribute to hiring and onboarding for the AI Enablement team and broader engineering roles.

Requirements

• At least 8 years of software engineering experience, including designing and operating production systems.
• Strong programming skills in Python or Golang, with consideration for other JVM languages.
• Practical understanding of security, access control, and data privacy in AI systems.
• Experience leading engineering projects as a tech lead, lead engineer, or engineering manager of a small team.
• Hands-on experience deploying LLM-powered products, agents, or AI tools to production environments.
• Background in integration-heavy engineering, connecting products to third-party SaaS systems and internal data via APIs.
• Strong stakeholder management skills with non-technical audiences, capable of translating business workflows into deployable systems.
• Experience with systems integration across commercial SaaS platforms and internal services.
• Exposure to cloud environments (AWS preferred), CI/CD, and observability for production systems.

Nice to have

• Experience building internal tooling, platform, or enablement teams.
• Familiarity with agent frameworks, MCP-style tool interfaces, and multi-agent systems.
• Experience with LLM evaluation, observability, and cost management for AI workloads.
• Experience introducing AI-assisted development practices to engineering organizations.
• Experience in a scale-up environment, comfortable with ambiguity and building functions from scratch.

Skills & tools

• Python
• Golang
• AWS
• CI/CD
• LLM
• APIs

Practical notes

Kpler is committed to a fair, inclusive, and diverse work environment. Applicants who do not meet every single requirement are encouraged to apply.