Al Automation Engineer

Duties And Responsibilities

• Design and implement automation solutions for repeatable, high-volume workflows (e.g., onboarding, campaign execution, reporting, support processes)
• Build AI-assisted workflows using appropriate tools (e.g., Zapier, Make, n8n, APIs, LLM-based tools)
• Incorporate human review checkpoints where accuracy and quality are critical
• Focus on practical, maintainable solutions rather than overly complex designs
• Assess targeted business processes identified by leadership to identify inefficiencies and automation opportunities
• Translate business needs into technical solutions that improve speed, accuracy, and scalability
• Deliver measurable improvements in time savings and process efficiency
• Partner with the CIO to co-develop and execute a prioritized automation roadmap
• Contribute to prioritization based on ROI, effort, and risk
• Provide input on tools, systems, and opportunities for continuous improvement
• Cross-functional Collaboration
• Work with teams across Sales, Marketing, Client Services, and Operations to understand workflow challenges
• Build solutions in collaboration with stakeholders to ensure usability and adoption
• Support teams in integrating automation into their day-to-day work
• Ai Enablement & Support
• Support rollout of AI tools to targeted users and teams based on business need
• Develop simple, role-specific guidance for tool usage
• Monitor adoption and gather feedback to improve solutions over time
• Tool & Process Optimization
• Evaluate current tools and identify opportunities to improve efficiency or reduce waste
• Recommend solutions based on cost, impact, and ease of implementation
• Prioritize simplicity and speed-to-value over over-engineering

Roadmap Execution

• Partner with the CIO to co-develop and execute a prioritized automation roadmap
• Contribute to prioritization based on ROI, effort, and risk

General

• Perform additional duties as assigned based on business needs

Job Specifications (Required Skills)

• 3–5+ years in technical, engineering, or operations-related roles
• Hands-on experience building automation or AI-enabled workflows in a business environment
• Demonstrated ability to deliver working solutions used by internal teams
• Experience with automation tools (e.g., Zapier, Make, n8n)
• Familiarity with APIs, system integrations, and workflow design
• Exposure to AI tools such as LLMs or copilots (OpenAI, Anthropic, etc.)
• Understanding of data handling, system access, and basic security considerations

Core Competencies

• Strong problem-solving skills with a focus on practical execution
• Ability to translate business needs into technical solutions
• Strong communication and collaboration skills across technical and non-technical teams
• Ability to manage multiple priorities and deliver results in a fast-paced environment