GCP GenAI & Agentic AI Engineer (Contract)

Capgemini; Nashville (TN); On-site; USD 51,000 - 80,000; Full time

Benefits offered by this job

Remote-friendly project

Job summary

Tundra Technical Solutions is seeking a Staff Agentic AI Engineer to lead the design and delivery of enterprise-grade Generative AI on Google Cloud Platform, with Vertex AI at the core. You will architect RAG systems, embeddings, grounding, and autonomous agent architectures while mentoring engineers and promoting Agile delivery.

Responsibilities include building scalable cloud-native AI workloads, integrating LLMs with external tools, and establishing CI/CD and MLOps practices.

Qualifications

• Bachelor's degree is required.
• 8+ years of software development or engineering experience.
• Proven delivery of Generative AI solutions in enterprise or customer-facing environments.

Responsibilities

• Design, build, and deploy scalable Generative AI solutions on GCP using Vertex AI.
• Architect and implement RAG systems, including data ingestion, embeddings, vector search, and retrieval pipelines.
• Design grounding and embedding strategies to improve response accuracy and factuality.
• Develop Agentic AI and multi-agent systems for autonomous task execution.
• Integrate LLMs with external tools, services, and enterprise systems using structured interaction patterns (e.g., MCP).
• Build and manage cloud-native, containerized, and serverless AI workloads.
• Establish CI/CD pipelines and MLOps practices for AI/ML systems.
• Collaborate with product, business, and engineering stakeholders to translate requirements into AI solutions.
• Lead technical design reviews, investigations, PoCs, and solution proposals.
• Mentor engineers and promote best practices in AI engineering and Agile delivery.

Skills

Problem solving

Technical leadership

Communication

Mentoring

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Vertex AI

Dataflow

Dataproc

Pub/Sub

Kafka

Docker

Kubernetes

Job description

Tundra Technical Solutions is seeking a Staff Agentic AI Engineer to lead the design and delivery of enterprise-grade Generative AI on Google Cloud Platform, with Vertex AI at the core. You will architect RAG systems, embeddings, grounding, and autonomous agent architectures while mentoring engineers and promoting Agile delivery.

Responsibilities include building scalable cloud-native AI workloads, integrating LLMs with external tools, and establishing CI/CD and MLOps practices.