AI Automation Engineer – Internal Platform

phData

AI Automation Engineer designing AI-powered workflows and automation solutions for phData's internal platform. Collaborating cross-functionally to drive efficiency and intelligent decision-making.

Posted 7/8/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudPythonRPA

About the role

Key responsibilities & impact

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) for internal and occasional client use.
Build on platforms like Glean, Microsoft Copilot, and Snowflake Intelligence to orchestrate end‑to‑end agentic workflows (e.g., retrieval, reasoning, actions, and hand‑offs).
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 to remove manual, repetitive steps from business processes.
Integrate systems and data sources through APIs and connectors to enable smooth, end‑to‑end execution.
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), with a focus on maintainability and reusability.
Contribute to shared patterns, templates, and documentation that make it easier to roll out new AI agents and automations.
Work with cross‑functional teams (Platform, Analytics, Operations, Sales, Delivery, Finance, IT) to deliver solutions that align with business priorities.
Participate in agile planning and ceremonies to keep work visible, prioritized, and on track.
Share best practices on AI agents and workflow automation across the organization.
Track and experiment with emerging AI/automation tools, and bring forward ideas for pilots and improvements.
Help evaluate and operate secure, governed cloud AI services.

Requirements

What you’ll need

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) to streamline business processes.
Experience integrating systems via APIs and connectors, and working with enterprise or SaaS applications.
Solid software or scripting background (e.g., 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.

Benefits

Comp & perks

Health insurance
Flexible work hours
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI-Driven Tools (Glean, Microsoft Copilot, Snowflake)Workflow AutomationScriptingVersion Control (Git)Cloud Services (AWS, Azure, Google Cloud)

Soft Skills

Analytical SkillsProblem-SolvingCommunication Skills