GCP Agentic AI Engineer

🕒 October 27

🎸 Tennessee – Remote

🎸 Tennessee – Remote

💵 $101.1k - $182.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 8%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• Lead the design, development, and deployment of enterprise-grade Generative AI and Agentic AI solutions on Google Cloud Platform using Vertex AI • Architect and implement scalable Retrieval-Augmented Generation (RAG) solutions, including data ingestion, embeddings, vector search, and retrieval pipelines • Develop and optimize grounding and embedding strategies to improve AI response accuracy, relevance, and factual consistency • Build and manage Agentic AI and multi-agent systems capable of autonomous decision-making, orchestration, and task execution • Integrate Large Language Models (LLMs) with enterprise applications, APIs, and external tools using structured interaction frameworks such as Model Context Protocol (MCP) • Design and deploy cloud-native AI applications leveraging Docker, Kubernetes, microservices, serverless technologies, and modern MLOps/CI-CD practices • Provide technical leadership through architecture reviews, proof-of-concepts, solution design, troubleshooting, and delivery governance • Collaborate with cross-functional stakeholders and mentor engineering teams to drive AI innovation, best practices, and successful business outcomes • Perform automation testing

🎯 Requirements

• Strong hands-on experience with Google Cloud Platform (GCP), particularly Vertex AI, for building and deploying enterprise-scale Generative AI solutions • Proven expertise in designing and implementing Retrieval-Augmented Generation (RAG) architectures, including document ingestion, retrieval pipelines, and contextual response generation • Deep understanding of embeddings, vector databases, semantic search, and grounding techniques • Extensive experience developing Agentic AI and multi-agent systems using modern frameworks such as LangChain and related orchestration technologies • Advanced programming skills in Python, with experience in enterprise application development using Java, C#, or Node.js • Strong knowledge of SQL and NoSQL databases, including data modeling, optimization, and integration with AI-driven applications • Experience with Automation testing • Experience building cloud-native and containerized applications using Docker, Kubernetes, microservices, and serverless architectures • Solid background in DevOps, CI/CD, MLOps, and AI model lifecycle management • Excellent technical leadership, stakeholder management, problem-solving, and communication skills • Proven track record of leading teams and delivering successful AI transformation initiatives

🏖️ Benefits

• 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 • Additional compensation such as variable incentives, bonuses, or commissions may be available

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume