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AI Automation Engineer - Internal Platform

1 month, 1 week ago
United States
Full-time
Mid Level
AI Engineer
Software Development
Agile AWS Azure CI/CD dbt GCP Git Python Snowflake
Apply Now
phData

phData

phData specializes in providing comprehensive data engineering, data strategy, and machine learning services, offering end-to-end managed data solutions that facilitate data migrations, integrations, and the development of modern data products and appl...

IT Services
251-1K
View All Jobs 37

Description

  • Partner with business groups to identify AI and automation opportunities.
  • Assess feasibility, including viability, data readiness, integration needs, ROI, and implementation readiness.
  • Translate business problems into solution designs and implementation plans.
  • Design, configure, and refine AI-driven applications and agents using RAG, prompt design, and agent workflows.
  • Build and orchestrate end-to-end agentic workflows on platforms such as Glean, Microsoft Copilot, and Snowflake Intelligence.
  • Implement guardrails, monitoring, and evaluation patterns to make agents safe, reliable, and useful.
  • Develop workflow automation using RPA, scripting, and low-code or no-code tools.
  • Integrate systems and data sources through APIs and connectors to support end-to-end execution.
  • Build automation and AI workflows using version control, code review, testing, and CI/CD practices.
  • Work with cross-functional stakeholders and participate in agile planning and ceremonies to deliver prioritized solutions.

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 such as Glean, Microsoft Copilot, Snowflake Cortex/Intelligence, or similar.
  • Demonstrated experience with process automation tools and approaches such as RPA, Power Automate, scripting, or workflow tools.
  • Experience integrating systems via APIs and connectors and working with enterprise or SaaS applications.
  • Strong software or scripting background, with Python preferred, to build and maintain production-oriented workflows and simple services.
  • Familiarity with Git-based source control, 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 on AWS, Azure, or Google Cloud.
  • Strong analytical and problem-solving skills with the ability to assess business processes and identify automation and AI opportunities.
  • Excellent communication skills for explaining technical concepts and trade-offs to both technical and non-technical audiences.
  • Familiarity with data engineering concepts such as ETL/ELT, data pipelines, and data warehousing is preferred.
  • Familiarity with the Snowflake Data Platform and modern cloud data ecosystems is preferred.
  • Experience with business intelligence tools such as Sigma Computing is preferred.
  • Experience in the data and AI professional services industry is preferred.
  • Experience conducting structured opportunity assessments, business cases, or cost-benefit analysis for AI and automation initiatives is preferred.
  • Certifications in AI, RPA, workflow automation, or cloud platforms such as AWS, Azure, or GCP are preferred.
  • Knowledge of data governance, responsible AI principles, and regulatory considerations for sensitive or regulated industries is preferred.

Benefits

  • Remote-first, remote-friendly culture with a distributed global team.
  • Opportunity to work on a high-impact internal AI and automation platform.
  • Modern cloud data and AI stack, including Snowflake, AWS, Sigma Computing, and Glean.
  • Strong support for experimentation and continuous improvement.
  • Collaborative environment with experienced data, analytics, and AI practitioners.
  • Inclusive and equal-opportunity workplace committed to diversity.
  • Autonomy to deliver results in a fast-growing organization.

Interested in this position?

Apply directly on the company website

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