AI Automation Engineer

Role Description

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 are seeking an AI Automation Engineer to join our Platform team. This role is a hands-on technical partner to business groups across the organization.

The ideal candidate has experience with AI agents and workflow automation and can:

• Assess feasibility, design solutions, and deliver measurable outcomes that create efficiencies and solve real business problems.
• Work directly with business stakeholders to understand their challenges.
• Evaluate whether AI agents, automation, or a combination of both is the right approach.
• Design and deliver end-to-end solutions.

What You’ll Do

• Business Engagement & Feasibility Assessment:
  • 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.
• AI Agent & Workflow Development:
  • 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.
  • Implement guardrails, monitoring, and evaluation patterns so agents are safe, reliable, and helpful.
• Automation & Efficiency:
  • 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.
• Development Practices & Quality:
  • 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.
• Collaborative Delivery & Cross-Functional Engagement:
  • 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.
• Strategic Support & Growth:
  • 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.

Qualifications

• 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.

Prefer Any of the Following

• Familiarity with data engineering concepts (ETL/ELT, data pipelines, data warehousing).
• Familiarity with the Snowflake Data Platform and modern 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 cases, or cost-benefit analysis for AI/automation initiatives.
• Certifications in AI, RPA, workflow automation, or cloud platforms (AWS, Azure, GCP).
• Knowledge of data governance, responsible AI principles, and regulatory considerations for sensitive or regulated industries.

Key Attributes for Success

• Consultative Mindset: Enjoys engaging with business teams to understand the “why” behind requests, asks thoughtful questions, and proposes solutions that address root causes.
• Agent & Automation-Oriented: Comfortable designing AI agents and automated workflows, and understands when to apply AI, when to apply automation, and when to combine both.
• Ownership & Follow-Through: Takes end-to-end responsibility for solutions—from initial assessment through launch and ongoing optimization.
• Bias Toward Action: Moves work forward with urgency and purpose; does not let ambiguity stall progress and actively looks for ways to improve how work gets done.
• Collaborative & Influential: Builds trust across teams and stakeholders; can communicate clearly, influence decisions, and navigate competing priorities.
• Curious & Growth-Oriented: Stays current with rapidly evolving AI/automation trends and tools; brings new ideas and approaches to the team.
• Resilient & Adaptable: Thrives in a fast-paced, evolving environment; stays composed under pressure and adjusts plans as circumstances change.

Why phData

• Work on a high-impact internal AI and automation platform that directly shapes how phData operates, sells, and delivers for its customers.
• Help define how we run phData on data and AI, collaborating closely with stakeholders across Operations, Sales, Delivery, Finance, and IT.
• Build on a modern cloud data and AI stack (Snowflake, AWS, Sigma Computing, Glean, GitHub Copilot, and more) with strong support for experimentation and improvement.
• Collaborate with experienced data, analytics, and AI practitioners, and play a key role in expanding our internal AI and automation capabilities.
• Enjoy a remote-friendly culture with a distributed team across the globe.