Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries. We specialize in cloud architecture, infrastructure, migration, and optimization, helping enterprises scale efficiently while maintaining cost control.
Our clients range from Fortune 500 companies to fast-growing startups, relying on us to build high-performance infrastructure, optimize cloud environments, and enable continuous delivery at scale.
A leading US healthcare workforce company has built an analytics and predictive proof of concept on Palantir Foundry. Client reaction has been strong, and the platform is now moving to a full production build that will be taken to market. We are standing up a pod of five to six engineers to deliver it, working alongside the client’s product and business teams and training their internal engineers as we build. This is forward deployed work in the original sense: you embed with the client, you own an outcome, and you ship. Beyond the first build, the client plans to place small AI pods inside its business units, each pairing an FDE with an AI engineer and a software engineer, and each accountable for a measurable business result. Do the first engagement well and there is a long runway.
What You’ll DoWhat you will do Take a Palantir Foundry proof of concept to production: data pipelines, ontology, application layer, governance, observability. Sit with business and product teams, run discovery, and turn policies and operating procedures into working code and agent logic. Define an adoption or delivery metric with the client’s business leader, own it, and report against it. Train client engineers as you build, so capability stays with the client rather than with the vendor. Shape the roadmap from proof of concept to a production-grade product the client can sell.
FDE-grade is a specific bar. We gate on four signals:
1. Platform depth. Production work on Palantir Foundry or a comparable data and AI platform. Certifications alone do not qualify; we reference-check against shipped systems.
2. Customer-facing comfort. You can run a discovery session, lead a workshop, train a team, and defend a recommendation in front of a CTO.
3. Generalist build instinct. You write the glue code, the integration, the pipeline, and the dashboard. You do not wait for tickets.
4. Outcome ownership. You have shipped end to end and are comfortable being measured on adoption, time to production, or a business KPI. The fourth signal has a corollary the client cares about deeply: business context.
A great FDE comes up to speed on the business layer fast, because an engineer who only listens and codes will faithfully rebuild the inefficient process that already exists. We look for people who ask why the process works the way it does before writing a line of it.
Must-Have Experience**
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-6+ years in software, data, or ML engineering, with senior-level ownership of production systems.
-Hands-on Palantir Foundry experience (Pipeline Builder, Ontology, Workshop; AIP a strong plus), or deep experience on a comparable platform such as Databricks or Snowflake with evidence of fast platform ramp.
-Production Python and SQL. TypeScript or Java a plus.
-Experience building with LLMs and agents: retrieval, tool use, evaluation, and getting them past the demo stage.
-Consulting, solutions engineering, or client-embedded delivery experience. Clear written and spoken English, comfortable presenting to executives
Nice-to-haves
Healthcare, staffing and workforce, or other regulated-industry domain experience.
Forward Deployed Engineer, AI & Analytics 3 of 4 A track record of capability transfer: training, pairing, playbooks delivered as part of an engagement.
A prior FDE, solutions architect, or solutions engineer role at a platform vendor or AI-native company.
Recruiter interview (30 min)
Technical Interview (30 min)
Client Interview 1 (60 min)
We strive to move efficiently from step to step to make the recruitment process as fast as possible.
What we offerContract engagement through the Gigster network, full-time dedication expected.
Initial term aligned to the production build, with extension likely as the pod model expands across business units.
Compensation is competitive and set by experience and location
For this role, we can only consider candidates located in contiguous US states.
Also, we are only able to consider candidates who are either US citizens, or Green Card Holders, or sole proprietors of their own LLC company.We are NOT able to consider candidates on any kind of visa that requires sponsorship, like STEM OPT, H4 EAD, F-1 OPT, L-2S, CPT, etc.
Skills Required
- 6+ years of experience in software, data, or machine learning engineering with senior-level ownership of production systems.
- Hands-on production experience with Palantir Foundry, including Pipeline Builder, Ontology, and Workshop; comparable Databricks or Snowflake experience may qualify.
- Production experience with Python and SQL.
- Experience building and deploying LLM applications and agents involving retrieval, tool use, evaluation, and productionization.
- Consulting, solutions engineering, or client-embedded delivery experience.
- Clear written and spoken English, with comfort presenting to executives.
- Healthcare, staffing, workforce, or other regulated-industry experience.
- Experience transferring capabilities through training, pairing, or engagement playbooks.
- Prior Forward Deployed Engineer, solutions architect, or solutions engineer experience at a platform vendor or AI-native company.
- TypeScript or Java experience.
What We Do
Virtasant is a fully-remote and globally distributed technology and business services company that brings the breadth and capability of more than 4,000 technology professionals in 130 countries. We started working in the public cloud in 2007, and over the last 13 years, our team has built or re-platformed over 200 applications, with over 600 million lines of code currently under management. In this time, our team has developed proprietary software and methodologies that help us quickly and accurately identify opportunities to maximize the speed, scale and cost advantages that come with native cloud computing. Virtasant combines industry-leading cloud specialization with a deep bench of global experts across every aspect of the product lifecycle to deliver superior results to our clients. Virtasant offers services including cloud assessments and migrations, custom product development, information management, machine learning, remote team management, application modernization, full-lifecycle technology outsourcing, and more
