JOB SUMMARY
The Lead AI Engineer will be responsible for building AI-driven and agentic automation solutions. This role requires deep expertise in designing scalable services that incorporate advanced reasoning, workflow orchestration, and multi-agent systems, with ideal candidates having experience in LangGraph, IBM Watsonx Orchestrate, and Google Vertex AI.

Key Responsibilities
• Build AI driven and agentic automation solutions.
• Design scalable services incorporating advanced reasoning, workflow orchestration, and multi-agent systems.
• Develop AI systems that interpret and generate human language (NLP).
• Understand and implement multi-agent systems where AI agents collaborate and operate independently.
• Deploy AI models using cloud platforms (AWS, Google Cloud, or Azure).
• Design AI-driven bots for repetitive task automation (RPA).
• Utilize LangGraph for graphs, tool-nodes, memory/state, and streaming agents.
• Implement IBM Watsonx Orchestrate for skills, connectors, and process automation.
• Leverage Google Vertex AI for Gemini, RAG, Vector Search, embeddings, and safety features.
• Work with vector databases such as PGVector, Vertex Matching Engine, and Pinecone.
• Implement eventing patterns using Kafka or Pub/Sub.
• Utilize observability stacks including OpenTelemetry, Prometheus/Grafana, and Elk/Cloud Logging.
• Employ infrastructure-as-code principles with tools like Terraform.
• Integrate with CI/CD pipelines using GitHub Actions and Cloud Build.
• Apply critical thinking to analyze AI outputs and improve models.
• Ensure ethical and unbiased decision-making in AI applications.
• Solve problems related to unexpected AI behaviors and optimize performance.
• Collaborate with cross-functional teams to integrate AI systems.

Required Qualifications
• Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field.
• 5+ years of experience with Java.
• 5+ years of strong experience in AI/ML.
• Experience with LangGraph.
• Experience with IBM Watsonx Orchestrate.
• Experience with Google Vertex AI.
• Knowledge of vector databases (PGVector, Vertex Matching Engine, Pinecone).
• Familiarity with Kafka or Pub/Sub eventing patterns.
• Familiarity with observability stacks (OpenTelemetry, Prometheus/Grafana, Elk/Cloud Logging).
• Familiarity with infrastructure-as-code (Terraform).
• Familiarity with GitHub Actions and Cloud Build.
• Understanding of AI models, neural networks, and reinforcement learning.

Preferred Qualifications
• Experience with WatsonX Platform (Assistant, AI, Orchestrate etc).
• Chatbot development experience.