GCP Data Engineer (Vertex AI)

Capgemini
Hartford, CT, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$105,000.0 - $115,000.0
Working hours
Regular working hours

Tech stack

LangGraph Framework Application Programming Interfaces (APIs) Artificial Intelligence BigQuery Cloud Computing Cloud Engineering Cloud Storage Continuous Integration Data Stores Data Flow Control Identity and Access Management Machine Learning
+24 more
Scrum Methodology Gemini Enterprise (Agent Platform) Search Technologies Google Cloud Google Data Studio Retrieval-Augmented Generation Flask (Web Framework) Generative AI Apigee Build Server Vertex AI Vector Search Git Fastapi Pytest Pgvector Google Gemini Restful APIs Model Context Protocol Terraform Intelligent Document Processing Looker Analytics GPT Docker Agent2Agent Protocol

Job description

  • Build GenAI applications with Gemini models on Gemini Enterprise Agent Platform Vertex AI
  • Design and tune prompts structured outputs and function calling for insurance documents submissions ACORD forms COIs loss runs policies
  • Build RAG pipelines chunking embeddings Vector Search Vertex AI Search grounding and citations
  • Build agents with the Agent Development Kit ADK and deploy them on Agent Engine integrate tools and APIs
  • Extract and classify documents with Document AI and Gemini multimodal input
  • Ship services on Cloud Run or GKE exposed through Apigee with CICD in Cloud Build
  • Move and store data with BigQuery Cloud Storage PubSub and Dataflow
  • Write evaluation sets and run quality latency and cost checks Gen AI evaluation service golden datasets
  • Apply guardrails PII masking with Sensitive Data Protection DLP safety filters IAM least privilege
  • Work in Agile sprints with QA UI and data teams write clean tested documented code.

Requirements

4-8 years in software/data/ML engineering with 1-5 years hands-on GenAI experience along with Vertex AI and Google cloud platform and its services., * Strong Python FastAPI or Flask async pytest

  • Handson Gemini API Vertex AI SDK or Google Gen AI SDK
  • RAG design and at least one vector store Vector Search AlloyDB pgvector BigQuery vector search
  • LLM frameworks ADK LangChain or LangGraph
  • GCP core Cloud Run Cloud Functions Cloud Storage BigQuery IAM Secret Manager
  • REST API design Git Docker CICD
  • Good written and verbal communication with onsite and client teams, Insurance domain PC ES specialty workers comp or financial services Document AI custom extractors OCR on scanned or handwritten forms Agent2Agent A2A protocol or Model Context Protocol MCP tool integration Model tuning supervised finetuning on Gemini and model monitoring Terraform Looker or Looker Studio dashboards.

Certifications (preferred)

  • Google Cloud Professional Machine Learning Engineer
  • Google Cloud Associate Cloud Engineer or Professional Cloud Developer
  • Google Cloud Generative AI Leader good to have.

Benefits & conditions

The base compensation range for this role in the posted location is: $105,000 - $115,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

About the company

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world., Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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