AI/ML Engineer - Agentic AI & Vertex AI
Overview
Capgemini empowers AI professionals to shape careers and drive sustainable innovation. This role focuses on delivering scalable technology solutions that enhance client experiences. You will collaborate with cross-functional teams to design and improve high-quality systems.
What You'll Do13
- 1Design and implement intelligent AI agents using Vertex AI Agent Builder to automate complex business processes and workflows
- 2Leverage the Agent Development Kit to build multi-agent systems for end-to-end business challenges
- 3Integrate MCP Toolbox to securely connect AI agents with enterprise data platforms like BigQuery and Cloud Spanner
- 4Architect scalable agentic solutions combining reasoning retrieval tool usage and workflow automation
- 5Utilize Vertex AI for model training fine tuning evaluation and deployment integrated with BigQuery for feature engineering
- 6Build and optimize real-time batch pipelines using Dataflow for large-scale AI workloads
- 7Enable low-latency inference via Vertex AI Endpoints and RunInference APIs
- 8Implement retrieval-augmented architectures using vector search in BigQuery and AlloyDB
- 9Attend internal and customer-facing meetings punctually and engage in technical discussions
- 10Provide structured updates on project progress milestones risks and blockers
- 11Seek guidance and contribute to collaborative problem solving
- 12Support peers through knowledge sharing code reviews and troubleshooting
- 13Translate business objectives into scalable technical solutions aligning AI initiatives with organizational goals
Requirements11
- 15+ years building ETL pipelines with Spark and Airflow
- 2Strong hands-on experience with Vertex AI Model Garden Pipelines Model Evaluation and Optimization Endpoints Agent Builder Data & Machine Learning Engineering SQL BigQuery Python
- 3Advanced proficiency in advanced SQL and Python for machine learning data engineering
- 4Experience with Google Cloud Storage BigQuery Cloud Spanner Vertex AI Endpoints
- 5Understanding of emerging AI technologies agentic AI architectures multi-agent systems
- 6Familiarity with stateful real-time processing contextual memory retrieval systems AI orchestration frameworks
- 7Knowledge of financial services banking fintech or retail domain use cases credit risk assessment fraud detection royalty forecasting search relevance optimization customer intelligence
- 8Experience implementing PII protection data masking redaction secure data handling compliance driven architectures
- 9Ideal candidate profile collaborative AI/ML professional with deep expertise in Vertex AI BigQuery agentic architectures cloud native machine learning
- 10Collaborative AI/ML professional with expertise in industry specific domains such as data privacy governance regulations
- 11Highly analytical mindset seeking opportunities to transform business requirements into scalable secure production systems
Salary Insight
$54 - $122k per year
Location
Required Skills
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