AI Automation Engineer – Internal Platform
Location
United States
Posted
2 days ago
Salary
0
Seniority
Senior
Job Description
AI Automation Engineer – Internal Platform
phData
• 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.
Job 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) 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
- Health insurance
- Flexible work hours
- Professional development opportunities
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