AI Automation Engineer – Internal Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with business units to uncover AI and automation prospects.

• Evaluate feasibility (including viability, data, integration, ROI, and readiness) and assist in prioritizing tasks across a portfolio of ideas.

• Convert business challenges into well-defined solution designs and implementation strategies.

• Articulate recommendations in a manner that is comprehensible to both technical and non-technical stakeholders.

• Design, configure, and enhance AI-driven applications and agents (RAG, prompt design, agent workflows) for internal use and occasional client engagement.

• Leverage platforms such as Glean, Microsoft Copilot, and Snowflake Intelligence to coordinate end-to-end agent workflows (e.g., retrieval, reasoning, actions, and hand-offs).

• Establish guardrails, monitoring, and evaluation frameworks to ensure agents remain safe, reliable, and beneficial.

• Automate workflows using RPA, scripting, and low-code/no-code tools to eliminate manual, repetitive tasks from business operations.

• Integrate systems and data sources via APIs and connectors for seamless end-to-end execution.

• Manage and enhance automations over time for performance, reliability, and cost-effectiveness.

• Develop automation and AI workflows utilizing modern engineering methodologies (version control, code review, testing, CI/CD), emphasizing maintainability and reusability.

• Contribute to shared patterns, templates, and documentation that simplify the rollout of new AI agents and automations.

• Collaborate with cross-functional teams (Platform, Analytics, Operations, Sales, Delivery, Finance, IT) to deliver solutions aligned with business goals.

• Engage in agile planning and ceremonies to maintain visibility, prioritization, and progress of work.

• Promote best practices regarding AI agents and workflow automation throughout the organization.

• Monitor and experiment with emerging AI and automation tools, proposing ideas for pilots and enhancements.

• Assist in evaluating and managing secure, governed cloud AI services.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline (or equivalent practical experience).

• Over 3 years of professional experience in building and deploying AI-powered workflows and/or automation solutions within a business context.

• Practical experience with AI-driven tools or platforms (e.g., Glean, Microsoft Copilot, Snowflake Cortex/Intelligence, or similar) and/or in developing AI-assisted workflows.

• Proven experience in process automation (e.g., RPA, Power Automate, scripting, workflow tools) to enhance business processes.

• Experience in integrating systems through APIs and connectors, as well as working with enterprise or SaaS applications.

• Strong software or scripting background (e.g., Python preferred, or similar) sufficient for building and maintaining production-level workflows, automations, and basic services.

• Familiarity with professional software development workflows, including Git-based source control, basic branching strategies, and code review practices.

• Exposure to agile development methodologies and collaborative team settings.

• Basic experience in deploying or utilizing cloud services and APIs for AI workloads (AWS, Azure, or Google Cloud).

• Strong analytical and problem-solving abilities, with a proven track record of evaluating business processes and identifying automation/AI opportunities.

• Excellent communication skills to convey technical concepts and trade-offs to both technical and non-technical audiences.

• Ability to adapt to changing technology landscapes and work collaboratively within multidisciplinary teams.

🏝️ Benefits

• Health insurance

• Flexible work hours

• Professional development opportunities