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 build and operate the internal Intelligence Platform, collaborating with business stakeholders to design and deliver AI and automation solutions that enhance operational efficiency.

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