Lead AI Engineer: Automation & Multi-Agent Systems
Job in
Coppell, Dallas County, Texas, 75019, USA
Listed on 2026-05-27
Listing for:
Compunnel, Inc.
Full Time
position Listed on 2026-05-27
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Job Summary
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.
- 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.
- Experience with Watson
X Platform (Assistant, AI, Orchestrate etc). - Chatbot development experience.
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