AI Orchestration Engineer
Core
Designing, engineering, and operationalizing scalable AI orchestration frameworks and multi-agent workflows for enterprise cybersecurity and data platforms.
Role type
AI Orchestration Engineer
Builds
AI orchestration frameworks, RAG systems, data pipelines, and agentic workflows for internal cybersecurity and enterprise functions.
Domain
Financial Services / Cybersecurity / Enterprise AI
Deliverable
production ML models
Required skills
AI Engineering, Data Engineering, Python, SQL, API development, workflow automation, cloud-native architecture, large-scale data pipeline design
Preferred skills
LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, Databricks, Snowflake, Spark, Kafka, Delta Lake, Iceberg, Airflow, vector databases, semantic search, MLOps, LLMOps, AI observability, Responsible AI, model risk management
Technologies
Python, SQL, LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, Databricks, Snowflake, Spark, Kafka, Delta Lake, Iceberg, Airflow
Responsibilities
Design AI orchestration frameworks coordinating models, agents, and APIs; develop agent-to-agent and human-in-the-loop workflows; build scalable data pipelines and enterprise data products; implement enterprise RAG architectures; establish MLOps/LLMOps deployment, monitoring, and governance; implement Responsible AI guardrails and observability solutions.
Seniority
Mid-level, hands-on IC (3-5 years experience)