Forward Deployed AI Product Engineer

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. 

phData is a remote-first global company with employees based in the United States, Latin America, and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership, and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.

• 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)
• Fivetran, dbt, Atlation, and AWS Partner of the Year
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)

Recognized as an award-winning workplace in the US, India, and LATAM

About the Role

The Forward Deployed AI Product Engineer (Vector) is a customer-embedded, full-stack engineer who builds AI-native applications and agents that solve high-value business problems on top of the client’s data and AI platform. This role sits at the intersection of product, engineering, and business outcomes: you will live inside a business unit, learn its operations in detail, and rapidly ship working software that proves measurable ROI.

You will be deployed directly into strategic customer accounts as the tip of the spear for AI-powered solutions. You will partner closely with business stakeholders, central platform teams, and other phData consultants to:

• Identify and shape AI use cases that were previously considered too messy, too manual, or too cross-functional to tackle.
• Rapidly prototype full-stack, MVP-grade agents, applications, and workflows that demonstrate value in weeks, not quarters.
• Productionize the most impactful solutions, integrating with the client’s AI Data Platform, existing systems, and operational workflows.
• Feed technical and architectural patterns back into the client’s platform and operating model to create durable, long-term leverage.

You will own the end-to-end lifecycle of AI-native solutions in your business area: discovery, value articulation, design, implementation, iteration, and handoff. You must be equally comfortable whiteboarding with executives about KPIs and ROI, sitting side-by-side with frontline operators to understand real-world constraints, and diving deep into code to ship features quickly.

This is a highly hands-on, travel-heavy role designed for engineers who want to be as close as possible to the business problem, not just the technology. You will act as a lead engineer within one or more “fusion pods,” collaborating with data engineers, ML engineers, activation specialists, and client teams to deliver outsized business impact.

About You

• You are obsessed with business outcomes, not just technology. You think in terms of KPIs, ROI, and time-to-value, and you can sit across from a VP, GM, or CTO to recommend architectures, workflows, and tools that directly tie to their goals.
• You are a builder. You’re not looking for a rigid playbook or a fully defined product; you want to help define the solution, build the first versions, and iterate quickly based on real user feedback.
• You have strong business curiosity. You naturally dig into how operations actually work, what’s broken, and how AI and software can reshape processes rather than just automate existing ones.
• You have empathy to sit with business users, observe how they actually work, and listen carefully to their pain points. You apply design thinking to reimagine