Senior GenAI Engineer: Enterprise Agentic AI

North Carolina, Charlotte

07/08/2026

Contract

Active

Job Summary

We are seeking a Senior Generative AI Engineer to design, develop, and deploy enterprise-scale Agentic AI and Generative AI solutions. This role is responsible for building production-ready AI applications using Google Agent Development Kit (ADK), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Lang Chain, and Lang Graph while driving AI platform strategy, engineering standards, and operational excellence. The ideal candidate will have strong software engineering expertise, experience building AI-enabled enterprise applications, and a deep understanding of modern agentic architectures.

Key Responsibilities

• Design, develop, and deploy production-ready AI agents using Google Agent Development Kit (ADK).

• Build multi-agent AI solutions leveraging Google ADK orchestration, tool ecosystems, and deployment frameworks.

• Design and develop Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic architectures.

• Build production-grade AI workflows using Lang Chain and Lang Graph.

• Develop AI-enabled services and integrate AI capabilities into enterprise applications and business workflows.

• Design secure tool execution patterns supporting service-to-service communication, least privilege access, auditability, and enterprise governance.

• Implement enterprise agent-to-agent communication patterns and Model Context Protocol (MCP) tool integrations where applicable.

• Evaluate AI technologies, orchestration frameworks, and model architectures to address complex business requirements.

• Troubleshoot, optimize, and resolve issues across AI models, orchestration frameworks, and production services.

• Develop AI lifecycle capabilities including evaluation frameworks, quality monitoring, model performance tracking, and model drift detection.

• Design, code, test, debug, document, and deploy AI services across development, testing, and production environments.

• Contribute to enterprise AI platform strategy, engineering standards, and operational readiness initiatives.

• Collaborate with architects, engineers, product teams, and business stakeholders to deliver scalable AI solutions.

• Mentor engineers, provide technical leadership, and serve as an escalation point for complex technical challenges.

• Ensure AI solutions comply with organizational security, governance, compliance, and risk management standards.

Required Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical field, or equivalent practical experience.

• Strong hands-on experience developing enterprise applications using Python and/or Java.

• Strong understanding of Large Language Models (LLMs), transformer architectures, and conversational AI.

• Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.

• Hands-on experience with Lang Chain and Lang Graph frameworks.

• Experience building and deploying production-grade Agentic AI applications.

• Experience implementing Model Context Protocol (MCP) integrations and enterprise AI orchestration patterns.

• Experience with MLOps practices, AI model evaluation, quality monitoring, and model lifecycle management.

• Experience building and managing vector databases for semantic search and knowledge retrieval.

• Experience implementing vector search, embeddings, and enterprise retrieval architectures.

• Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).

• Experience with containerized application deployment and cloud-native architectures.

• Experience…