AI Enablement Engineer in United States at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Enablement Engineer based in United States.

This role focuses on building the internal AI backbone that enables every team within the organization to work faster, smarter, and more effectively through automation and intelligent tooling. You will design and scale an internal AI platform that connects workflows, tools, and data across multiple departments, turning AI into a practical daily work companion rather than an isolated capability. The position requires close collaboration with teams across the business to identify operational needs and translate them into reusable AI-powered solutions. You will own the development of integrations, workflows, and internal tools that embed AI deeply into the organization’s operations. A strong emphasis is placed on building scalable systems rather than one-off solutions, ensuring long-term leverage and adoption. You will also lead enablement efforts, helping employees become AI-native through training, documentation, and hands-on support. This is a highly cross-functional, mission-driven role at the intersection of software engineering, AI systems, and internal platform building.

• Build and evolve an internal AI platform composed of reusable tools, integrations, workflows, and AI-enabled systems that enhance productivity across all teams
• Partner with cross-functional teams (Sales, CS, Marketing, Finance, Legal, HR, Security, Engineering) to identify needs and translate them into scalable AI solutions
• Own and execute a clear product roadmap for internal AI capabilities, ensuring consistent and predictable delivery of features and improvements
• Develop integrations between AI systems and internal tools using APIs, webhooks, MCP connectors, and automation frameworks
• Design reusable AI patterns and workflows that replace fragmented, one-off solutions with scalable platform capabilities
• Lead internal enablement efforts including training sessions, documentation, onboarding, and AI adoption programs across the company
• Contribute to AI governance, security, and usage policies to ensure safe and compliant use of AI systems
• Continuously refine and improve internal AI tools based on user feedback and evolving organizational needs

Requirements:

• 5+ years of experience in software engineering, platform engineering, or AI/automation-focused development roles
• Strong hands-on experience with AI systems, particularly Anthropic Claude or similar LLM-based tools, including building real production use cases
• Proficiency in Python and experience working with REST APIs, webhooks, JSON, and system integrations
• Demonstrated ability to design reusable systems and scalable architectures rather than isolated solutions
• Experience building internal tools, automation workflows, or platform-level engineering solutions
• Strong understanding of secure software development practices, secrets management, and data protection principles
• Awareness of AI security risks such as prompt injection, data leakage, and misuse of LLM outputs
• Excellent communication skills with the ability to translate non-technical workflows into AI-driven solutions
• Ability to operate independently, prioritize effectively, and manage a roadmap without heavy supervision
• Experience working with internal stakeholders across business functions and running enablement or training sessions is a strong plus

Benefits:

• Competitive compensation package with salary and equity opportunities
• Early-stage startup environment with high ownership and direct impact on company-wide productivity
• Opportunity to shape and define the internal AI platform from the ground up
• Collaborative, in-person culture with strong emphasis on learning and experimentation
• Access to modern AI tools and cutting-edge LLM ecosystems
• Professional growth through exposure to multiple business functions and enterprise workflows
• Relocation support may be available depending on location and office assignment
• High autonomy role with significant influence on organizational AI strategy and adoption