Generative AI Scientist: Multi-Agent ML & RAG Expert

IBM; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

IBM Consulting is seeking experts to build and deploy generative and agentic AI solutions across enterprise environments in the United States. You will design agentic AI systems, orchestrate multi-agent workflows, and integrate AI agents with APIs and data sources to deliver impactful business outcomes.

The role emphasizes RAG implementations, LLM evaluation, and governance, with hands-on coding in Python and experience with frameworks like LangGraph, CrewAI, AutoGen, and Semantic Kernel.

Qualifications

• Must have experience with generative and agentic AI systems.
• Proficiency with large language models (GPT, Claude, Llama, etc.).
• Strong skills in prompt engineering and retrieval-augmented generation (RAG).
• Familiarity with multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel).
• Knowledge of AI evaluation, governance, and observability practices.

Responsibilities

• Develop and deploy machine learning, deep learning, and generative AI solutions.
• Design and implement agentic AI systems and multi-agent workflows.
• Integrate AI agents with enterprise apps, APIs, and data sources.
• Build RAG solutions using vector databases and embeddings.
• Fine-tune and evaluate foundation models and LLM-based apps.
• Code in Python and use tools like PyCharm or VS Code.

Skills

Generative AI

Agentic AI

LLMs

Prompt Engineering

RAG

Python

Tools

LangGraph

CrewAI

AutoGen

Semantic Kernel

Job description

IBM Consulting is seeking experts to build and deploy generative and agentic AI solutions across enterprise environments in the United States. You will design agentic AI systems, orchestrate multi-agent workflows, and integrate AI agents with APIs and data sources to deliver impactful business outcomes.

The role emphasizes RAG implementations, LLM evaluation, and governance, with hands-on coding in Python and experience with frameworks like LangGraph, CrewAI, AutoGen, and Semantic Kernel.