Q

Quantiphi

AI-driven digital transformation and automation services

Senior Veeva Developer - CRM & Vault Platforms

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 4 years of experience, including 3+ years specializing in Veeva CRM and Veeva Vault.
  • Expert-level understanding and hands-on experience with Veeva products.
  • Expert-level understanding and hands-on experience with Veeva Vault modules including PromoMats, eTMF, RIM, and Quality Docs/QMS, along with advanced document and object lifecycles, controlled document workflows, electronic signatures, dynamic access control, rendition profiles, and document type/subtype configuration.
  • Experience developing, implementing, and maintaining Veeva solutions.
  • Proficiency in Veeva CRM configuration and customization, including page layouts, record types, validation rules, workflows, and process builders.
  • Expertise developing custom Apex classes, Visualforce pages, Lightning Components, and client-side scripting for Veeva CRM.
  • Deep expertise in Vault development and customization, including Vault Java SDK custom actions, triggers, and job processors; Vault REST API; Vault Object Framework; and Vault Query Language.
  • Experience with Veeva Vault AI and automation, including Vault Direct AI API, Vault AI Services, automated document classification, metadata extraction, AI-powered summarization, and AI Smart Checklists.
  • Strong understanding of Salesforce platform capabilities and integration with Veeva.
  • Experience with Veeva data migration strategies and tools, including Veeva Vault Loader, Salesforce Data Loader, Workbench, Ant Migration Tool, and SFDX.
  • Proficiency in Apex for Veeva CRM development and integration.
  • Experience with REST/SOAP APIs and Partner/Enterprise WSDL integration methodologies.
  • Deep understanding of GxP standards (GMP/GCP/GLP) and 21 CFR Part 11 compliance.
  • Proficiency with code versioning tools, preferably Git.
  • Ability to develop and ship high-quality software in Agile development environments.
  • Strong understanding of security roles, field-level security, and data access within Veeva.
  • Experience with object-oriented design.
  • Strong programming skills and ability to write robust software design.
  • Expert-level proficiency in Veeva products is listed as a good-to-have qualification.
  • Strong problem diagnosis and problem-solving skills specific to Veeva.

Responsibilities

  • Design, configure, customize, and support end-to-end commercial and clinical solutions on Veeva CRM and Veeva Vault.
  • Translate technical designs and business requirements into functional, efficient code and configurations within the Veeva ecosystem.
  • Develop and implement customizations, configurations, and extensions within Veeva Vault, including CRM, PromoMats, eTMF, RIM, and Quality Docs/QMS.
  • Design, develop, and maintain integrations between Veeva platforms and other systems using REST/SOAP APIs, Partner/Enterprise WSDL, and custom integration solutions.
  • Write clean, scalable, and documented code using Apex and Visualforce in accordance with industry best practices and architectural guidelines.
  • Implement security best practices for Veeva application development and integrations, including GxP and 21 CFR Part 11 compliance.
  • Build reusable code and libraries for future use within the Veeva ecosystem.
  • Assess technical feasibility and performance of UI/UX designs and proposed Veeva solutions.
  • Optimize Veeva applications for speed, scalability, and user experience.
  • Collaborate with architects, business analysts, engineering teams, and other stakeholders throughout the development lifecycle.
  • Participate in code reviews to ensure code quality, adherence to standards, and performance.
  • Contribute to designing and developing cloud-native or cloud-scalable solutions using Azure services or other cloud platforms to complement Veeva.
  • Lead technical development for AI-driven features across enterprise document repositories and Veeva Quality applications.
  • Build automation workflows using Vault Direct AI API to classify incoming quality documents and reduce manual indexing errors and processing time.
  • Develop business logic through Vault Java SDK to call Vault AI services and extract data such as product names, deviation dates, and batch numbers from unstructured PDFs into Vault Object records.
  • Optimize prompt engineering and contextual data payloads in Veeva Vault to use built-in large language model capabilities for deviation summaries and impact assessment drafts in Veeva QMS.
  • Design and execute technical verification protocols to ensure AI-generated metadata and document outputs meet GxP and Computer System Validation reliability standards.
  • Develop VQL queries to extract training data and document sets for Veeva AI classification models and improve auto-tagging accuracy.
  • Collaborate with data science and business excellence teams to replace rule-based document routing with AI-assisted lifecycle transitions and dynamic security assignments.
  • Take accountability for end-to-end delivery of software components within Veeva platforms.
  • Monitor code quality during implementation and take responsibility for code reviews and deliverables.
  • Ensure compliance with Veeva development and implementation best practices and policies.

Desired Qualifications

  • Experience with Veeva Vault modules including PromoMats, eTMF, RIM, and Quality Docs/QMS, advanced document and object lifecycles, controlled document workflows, electronic signatures, dynamic access control, rendition profiles, and document type/subtype configuration.
  • Experience with Veeva CRM configuration and customization, including page layouts, record types, validation rules, workflows, and process builders.
  • Experience developing Apex classes, Visualforce pages, Lightning Components, and client-side scripting for Veeva CRM.
  • Experience with Vault Java SDK, Vault REST API, Vault Object Framework, and Vault Query Language.
  • Experience with Veeva Vault AI and automation features including Vault Direct AI API, Vault AI Services, automated document classification, metadata extraction, AI-powered summarization, and AI Smart Checklists.
  • Experience with Salesforce platform capabilities and its integration with Veeva.
  • Experience with Veeva data migration strategies and tools including Veeva Vault Loader, Salesforce Data Loader, Workbench, Ant Migration Tool, and SFDX.
  • Experience with REST/SOAP APIs and Partner/Enterprise WSDL.
  • Experience with GxP standards (GMP/GCP/GLP) and 21 CFR Part 11 compliance.
  • Experience with code versioning tools, preferably Git.
  • Experience delivering software in Agile development environments.

About the Company

Quantiphi

AI-driven digital transformation and automation services

Quantiphi uses AI and digital engineering to help organizations transform by making products and operations smarter and safer. It partners with clients to understand their challenges and then designs and builds customized AI and automation systems—combining machine learning, data analytics, and software engineering—delivering them under long-term contracts with ongoing support, and collaborating with Google Cloud to integrate technologies. Compared with competitors, it provides end-to-end, tailored solutions across industries rather than one-off projects, backed by long-term relationships and strong technology partnerships to scale. Its goal is to embed AI into products and processes to improve customer experiences and overall efficiency.

Company size
1,001-5,000
Company stage
Series A
Total funding
$23.4M
Headquarters
Marlborough, MA
Founded
2013

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