Senior AI Automation Engineer - Internal Platform

phData

7d • Remote

About The Position

At phData, the Platform team builds and operates our internal Intelligence Platform, powering our Operations, Sales, Delivery, and Finance teams with data, analytics, and AI‑driven insights. We provide the core data and technology foundation that helps phData run efficiently and make better decisions every day.
We are seeking an AI Automation Engineer to join our Platform team. This role will serve as a hands‑on technical partner to business groups across the organization. The ideal candidate brings demonstrated experience in both artificial intelligence and process automation, with a proven ability to assess feasibility, design solutions, and deliver measurable outcomes that create efficiencies and solve real business problems.
As an AI Automation Engineer, you will work directly with business stakeholders to understand their challenges, evaluate whether AI, automation, or a combination of both is the right approach, and then design and deliver end‑to‑end solutions. This is a growth‑oriented role for those passionate about using AI and automation to drive impact in how we run phData on AI.

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.

Nice To Haves

• 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.

Responsibilities

• Business Engagement & Feasibility Assessment: 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.
• AI Solution Development: 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.
• Automation & Efficiency: 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.
• Development & Code Quality: 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.
• Collaborative Development & Cross‑Functional Engagement: 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.
• Strategic Support & Professional Growth: 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.

Benefits

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees