AI Automation Engineer & Enablement Lead 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 a AI Automation Engineer & Enablement Lead based in the United States.

This role sits at the intersection of software engineering, AI enablement, and operational transformation, driving how teams adopt and scale automation across the organization. You will design and deploy AI-powered workflows that streamline operations, improve decision-making, and unlock productivity gains at scale. Acting as both a technical builder and strategic advisor, you will partner closely with cross-functional teams to identify inefficiencies and convert them into intelligent automation solutions. The environment is fast-paced, collaborative, and highly impact-driven, with strong emphasis on innovation and practical AI adoption. You will also play a key role in shaping internal AI strategy, tooling standards, and enablement programs. This position blends hands-on development with organizational influence, making it central to digital transformation efforts.

In this role, you will design, build, and maintain scalable AI-driven automations, integrations, and workflow solutions that improve operational efficiency across multiple business functions. You will partner with stakeholders to identify process gaps and translate business needs into technical requirements, ensuring solutions are both practical and scalable. Responsibilities include:

• Designing and implementing AI-powered workflows, automations, and system integrations using Python, SQL, APIs, and orchestration tools
• Evaluating, selecting, and optimizing AI platforms and automation technologies based on scalability, security, and business impact
• Leading the development and ongoing improvement of internal AI systems, tools, and automation infrastructure
• Collaborating with cross-functional teams to identify inefficiencies and deliver AI-enabled process improvements
• Defining KPIs and measuring the performance and business impact of automation initiatives
• Developing AI enablement resources including training programs, documentation, playbooks, and workshops
• Supporting vendor evaluation, tool implementation, and change management efforts
• Monitoring emerging AI trends and proactively recommending new use cases and improvements

This position requires strong technical depth in software engineering and automation, combined with the ability to communicate clearly and drive adoption across non-technical teams. Candidates should be comfortable working independently while influencing broader organizational strategy.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or equivalent experience
• 3+ years of experience in software development, automation engineering, or systems integration roles
• Hands-on experience building production-grade automations, workflows, or AI-enabled systems
• Strong proficiency in Python, SQL, APIs, and workflow automation/orchestration tools
• Experience working with AI technologies, including AI APIs and applied machine learning tools
• Ability to translate business requirements into technical solutions and communicate trade-offs clearly
• Experience building training materials, enablement programs, or technical documentation preferred
• Strong analytical thinking, problem-solving, and process optimization skills
• Experience working cross-functionally with operations, IT, and business stakeholders
• Familiarity with tools such as Salesforce, Slack, Asana, Google Workspace, or similar platforms is a plus

• Competitive base salary ($115,000 – $120,000)
• Fully remote work within eligible U.S. states
• Comprehensive health, dental, and vision insurance options
• Paid time off and standard company holidays
• Access to professional development and learning opportunities in AI and automation
• Exposure to cutting-edge AI tools, systems, and enterprise-scale automation initiatives
• Collaborative, innovation-driven work culture focused on continuous improvement
• Opportunities to shape internal AI strategy and enterprise-wide enablement programs