Forward Deployment Engineer

PrithviTech Global Pvt Ltd |India| US| UAE| Netherlands; Barcelona; Híbrido; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

PrithviTech Global Pvt Ltd in Barcelona is seeking a Forward Deployment Engineer to join a hybrid contract role at the intersection of AI engineering and customer success. You will deploy, integrate, and scale AI-powered solutions for pharma clients, translating complex capabilities into practical, real-world workflows.

In this hands-on, client-facing role you’ll lead onboarding, build API integrations with EHR/CTMS, deploy models on cloud platforms, and develop reference architectures,

Formación

• 4+ years of software or integration engineering experience.
• Experience with REST API design, OAuth, and webhook integrations.
• Hands-on cloud deployment experience (AWS, Azure, or GCP).
• Familiarity with LLM APIs (OpenAI, Anthropic, Azure OpenAI).
• Hands-on data engineering with Snowflake or Databricks.

Responsabilidades

• Partner with pharma clients from pilot to production - onboarding, integration, and go-live.
• Build and maintain API integrations between AI platforms and client systems (EHR, CTMS, regulatory, lab, and commercial).
• Deploy AI/ML models and inference services on cloud infrastructure (AWS, Azure, or GCP).
• Translate pharma workflows into technical requirements.
• Debug production integration issues and coordinate with internal teams.
• Develop reference architectures, playbooks, and technical documentation.
• Act as a trusted technical advisor to client teams.
• Surface product feedback to inform the roadmap.

Conocimientos

Python

REST API design

OAuth

webhook integrations

Cloud deployment

LLM APIs

Snowflake/Databricks

CI/CD

Infrastructure as code

Herramientas

AWS

Azure

GCP

Descripción del empleo

Location: Barcelona, Spain (Hybrid)

Type of Hiring: Contract

Job Description:

About the Role

We are looking for a Forward Deployment Engineer (FDE) to sit at the intersection of AI engineering and customer success. You will work directly with pharma clients to deploy, integrate, and scale AI-powered solutions - translating complex technical capabilities into real-world workflows. This is a hands-on, client-facing engineering role where you own outcomes, not just deliverables.

What You'll Do

• Partner with pharma clients from pilot to production - leading technical onboarding, integration, and go-live
• Build and maintain API integrations between AI platforms and client systems (EHR, CTMS, regulatory, lab, and commercial systems)
• Deploy AI/ML models and inference services on cloud infrastructure (AWS, Azure, or GCP) - ensuring reliability, security, and scalability
• Translate domain-specific pharma workflows (clinical trials, pharmacovigilance, regulatory submissions, drug discovery) into technical requirements
• Debug integration issues in production, triage model behavior, and coordinate with internal engineering teams on fixes
• Develop reusable reference architectures, integration playbooks, and technical documentation
• Act as a trusted technical advisor to client engineering and IT teams
• Surface product feedback from the field to inform the roadmap

What You Bring

• 4+ years of software or integration engineering experience
• Strong proficiency in Python; experience with REST API design, OAuth, and webhook integrations
• Hands-on cloud deployment experience (AWS, Azure, or GCP) - containers, serverless, IAM, networking
• Familiarity with LLM APIs (OpenAI, Anthropic, Azure OpenAI) and prompt engineering basics
• Hands-on data engineering experience with Snowflake or Databricks - data pipelines, transformations, and working with large structured/unstructured datasets
• Experience with CI/CD pipelines and infrastructure-as-code (Terraform, CloudFormation, or similar)

Domain

• Working knowledge of the pharmaceutical value chain - clinical development, regulatory affairs (FDA/EMA), pharmacovigilance, or commercial operations
• Familiarity with pharma data standards (CDISC, HL7/FHIR, MedDRA) is a strong plus
• Understanding of pharma compliance and data privacy requirements (21 CFR Part 11, GxP, HIPAA)

Soft Skills

• Comfortable in ambiguous, fast-moving client environments
• Strong communicator - able to explain technical concepts to non-technical stakeholders

Nice to Have

• Experience with RAG pipelines, vector databases, or document AI (OCR, NLP)
• Background in a pharma/biotech company or a consulting firm serving the life sciences sector
• Familiarity with platforms like Veeva, Medidata, or Oracle Health Sciences

What Success Looks Like

In the first 30 days, you're embedded with a client team and have shipped at least one integration. In 90 days, you're running deployments independently and have become the go-to technical resource for your accounts.