Senior Technical Lead - C#, Python, C++

Senior Technical Lead - C#, Python, C++

Johnson, Tennessee

We are looking for an experienced AI Developer to design, develop, test, and deploy enterprise-grade Generative AI and Agentic AI solutions leveraging the Google AI ecosystem, including Gemini models, Vertex AI, Google AI Studio, Agent Development frameworks, RAG architectures, and AI evaluation/testing methodologies. The candidate will be responsible for building intelligent AI agents, orchestrating multi-agent workflows, integrating enterprise systems, and ensuring production-grade reliability, security, and governance of AI solutions.

• AI Solution Development
• Design and develop Generative AI applications using Gemini models.
• Build enterprise AI assistants, copilots, chatbots, and AI agents.
• Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.
• Integrate AI capabilities with enterprise applications, APIs, databases, and cloud services.

• Agentic AI Engineering
• Design and implement autonomous and multi-agent systems.
• Build agent orchestration workflows using planning, reasoning, memory, and tool-calling capabilities.
• Develop agents that can interact with APIs, enterprise tools, databases, SharePoint, and business applications.
• Implement Human-in-the-Loop (HITL) mechanisms for critical decision workflows.
• Develop agent guardrails and safety controls.

• Google AI Platform Expertise
• Build and deploy AI solutions using:
  Google Gemini Models, Vertex AI, Google AI Studio, Vertex AI Agent Builder, Vertex AI Search, Vertex AI Extensions, Vertex AI Pipelines, Model Garden, Prompt Management Frameworks.
• AI Testing & Evaluation
• Design AI testing frameworks and evaluation pipelines.
• Validate:
  Correctness, Accuracy, Hallucination Rate, Relevance, Groundedness, Safety, Toxicity, Latency, Cost Efficiency.
• Build automated regression testing for AI agents.
• Perform red-teaming and adversarial testing.
• Create benchmark datasets and evaluation metrics.

• Production Deployment & Operations
• Deploy and monitor AI workloads on Google Cloud Platform (GCP).
• Establish observability, monitoring, and AI governance controls.
• Optimize model performance, token consumption, latency, and operational costs.
• Implement CI/CD and MLOps/LLMOps practices.

• Stakeholder Collaboration
• Gather business requirements and convert them into AI solutions.
• Collaborate with product owners, architects, data engineers, and business stakeholders.
• Provide technical leadership on AI strategy and implementation.

Generative AI, Google AI Stack, Agent AI Engineering, RAG & Knowledge Systems, AI Evaluation & Testing, Programming & Engineering, Cloud & Dev Ops

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.

2–4+ years in software development.

2–4+ years in AI/ML or Generative AI solutions.

Hands-on experience with Gemini and Google Cloud AI services.

Experience in deploying AI applications into production environments.

A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program;

401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.