Lead AI Engineer: Automation & Multi-Agent Systems

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 Lang Graph, 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 Lang Graph 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 Open Telemetry, Prometheus/Grafana, and Elk/Cloud Logging.

• Employ infrastructure-as-code principles with tools like Terraform.

• Integrate with CI/CD pipelines using Git Hub 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 Lang Graph.

• 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 (Open Telemetry, Prometheus/Grafana, Elk/Cloud Logging).

• Familiarity with infrastructure-as-code (Terraform).

• Familiarity with Git Hub 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.