Senior AI Automation Engineer - Internal Platform

phData is a dynamic and innovative leader in the modern data stack, partnering with major cloud data platforms to deliver cutting-edge services and solutions. The Senior AI Automation Engineer will work with business stakeholders to identify AI and automation opportunities, design solutions, and implement end-to-end applications that drive efficiencies across the organization.

Responsibilities:

• Partner with business groups to identify AI/automation opportunities, assess feasibility (viability, data, integration, ROI, readiness), translate problems into technical plans, communicate recommendations, and help prioritize demand across the portfolio
• Design, build, and refine AI‑driven applications and agents (RAG, prompt engineering, agent architectures) for internal and occasional client use on platforms like Glean, Microsoft Copilot, and Snowflake Intelligence
• Implement RPA, scripting, and low‑code/no‑code workflows to automate repetitive processes, integrate systems and data sources, and operate/optimize automations for reliable, end‑to‑end execution
• Write production‑grade code for AI and automation solutions with strong documentation, testing, and SDLC discipline, using modern engineering practices (Git, code review, CI/CD) to ensure quality and maintainability
• Work with cross‑functional teams to deliver solutions, clearly communicate value to technical and non‑technical stakeholders, and align work with priorities through agile planning
• Share best practices, track and experiment with emerging AI/automation tools, inform leadership through prototypes and production learnings, and help select and operate secure, governed cloud AI services

Requirements:

• 4‑year Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
• 5+ years of professional experience developing and deploying automation/RPA solutions and AI/ML solutions in a business environment
• Experience with enterprise integration patterns, APIs, and connecting disparate business systems
• Demonstrated experience across both AI/ML and process automation (e.g., RPA, Power Automate, scripting, workflow tools)
• Proven ability to work directly with business stakeholders to assess feasibility, gather requirements, and translate business problems into technical solutions
• Strong proficiency in software development (Python preferred), with hands‑on experience building production‑grade applications and workflows
• Familiarity with professional software development workflows: Git‑based source control, branching strategies, code review, and effective team collaboration on shared codebases
• Exposure to agile development methodologies, CI/CD practices, and collaborative development environments
• Basic experience deploying cloud services and APIs for AI workloads (AWS, Azure, or Google Cloud)
• Strong analytical and problem‑solving capabilities with a demonstrated ability to assess business processes and identify automation opportunities
• Excellent communication skills for explaining technical information to both technical and non‑technical audiences
• Ability to adapt to evolving technology landscapes and work collaboratively in multidisciplinary teams
• Experience with generative AI, large language models (LLMs), prompt engineering, and AI agent frameworks/platforms
• Familiarity with data engineering concepts (ETL/ELT, data pipelines, data warehousing)
• Familiarity with the Snowflake Data Platform and cloud data ecosystems
• Experience with business intelligence tools like Sigma Computing
• Experience in the data and AI professional services industry
• Experience conducting structured opportunity assessments, business case development, or cost‑benefit analysis for technology initiatives
• Certifications in AI/ML, RPA, or cloud platforms (AWS, Azure, GCP)
• Knowledge of data governance, responsible AI principles, and regulatory compliance for sensitive or regulated industries