AI Automation Engineer - Internal Platform
New
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phDataData Stack
LATAM (with Brazil as the preferred location) and operates primarily in Brazil time zones with overlap to US time zones. United States, Latin America, and India, Brazil time zones with overlap to US time zonesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- AWSPythonGCPGitAzureRESTful APIsScripting
Requirements
- 4-year Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field (or equivalent practical experience)
- 3+ years of professional experience building and deploying AI-powered workflows and/or automation solutions in a business environment
- Hands-on experience with AI-driven tools or platforms (e.g., Glean, Microsoft Copilot, Snowflake Cortex/Intelligence, or similar) and/or building AI-assisted workflows
- Demonstrated experience with process automation (e.g., RPA, Power Automate, scripting, workflow tools)
- Experience integrating systems via APIs and connectors, and working with enterprise or SaaS applications
- Solid software or scripting background (Python preferred, or similar) sufficient to build and maintain production-oriented workflows, automations, and simple services
- Familiarity with professional software development workflows: Git-based source control, basic branching strategies, and code review
- Exposure to agile development practices and collaborative team environments
- Basic experience deploying or using cloud services and APIs for AI workloads (AWS, Azure, or Google Cloud)
- Strong analytical and problem-solving skills, with a demonstrated ability to assess business processes and identify automation/AI opportunities
- Excellent communication skills for explaining technical concepts and trade-offs to both technical and non-technical audiences
- Ability to adapt to evolving technology landscapes and work collaboratively in multidisciplinary teams
Responsibilities
- Partner with business groups to identify AI/automation opportunities
- Assess feasibility (viability, data, integration, ROI, readiness) and help prioritize work across a portfolio of ideas
- Translate business problems into clear solution designs and implementation plans
- Communicate recommendations in a way that is understandable to both technical and non-technical stakeholders
- Design, configure, and refine AI-driven applications and agents (RAG, prompt design, agent workflows)
- Build on platforms like Glean, Microsoft Copilot, and Snowflake Intelligence to orchestrate end-to-end agentic workflows
- Implement guardrails, monitoring, and evaluation patterns so agents are safe, reliable, and helpful
- Implement workflow automation using RPA, scripting, and low-code/no-code tools
- Integrate systems and data sources through APIs and connectors
- Operate and optimize automations over time for performance, reliability, and cost
- Build automation and AI workflows using modern engineering practices (version control, code review, testing, CI/CD)
- Contribute to shared patterns, templates, and documentation
- Work with cross-functional teams (Platform, Analytics, Operations, Sales, Delivery, Finance, IT) to deliver solutions
- Participate in agile planning and ceremonies
- Share best practices on AI agents and workflow automation across the organization
- Track and experiment with emerging AI/automation tools
- Help evaluate and operate secure, governed cloud AI services
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