GenAI & Agentic AI Engineer — Forward Deployed

International Business Machines Corporation; Dallas (TX); Remote; USD 140,000 - 220,000; Full time

Job summary

IBM Consulting is seeking a Forward Deployed Engineer - AI to partner with clients across industries and transform complex business challenges into production-ready AI solutions. You will prototype, deploy, and scale GenAI, RAG, and agentic AI applications in cloud environments, leveraging modern tooling from LangGraph to hyperscaler platforms.

In this role you will translate business problems into technical roadmaps, design and implement LLM-powered agents, ensure governance and safety, manage

Qualifications

• 5-7+ years delivering production AI solutions.
• Strong Python and SQL skills with GenAI experience.
• Experience with cloud AI platforms and APIs.
• Bachelor’s degree in CS/Engineering or related field.

Responsibilities

• Identify AI use cases and define success metrics with clients.
• Develop end-to-end GenAI, RAG, and agentic AI apps.
• Design LLM-powered agents with tool use and orchestration.
• Prepare data and integrate AI with enterprise systems.
• Apply MLOps/LLMOps and ensure reliable production-grade solutions.
• Present insights and drive client adoption.

Skills

Python

SQL

GenAI

LLMs

RAG

Workflows

Cloud platforms

Client facing

REST APIs

MLOps

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Master's or PhD in a technical field

Tools

Docker

Kubernetes

LangGraph

CrewAI

LangChain

AWS Bedrock

Google Vertex AI

Azure AI Foundry

RESTful APIs

Job description

IBM Consulting is seeking a Forward Deployed Engineer - AI to partner with clients across industries and transform complex business challenges into production-ready AI solutions. You will prototype, deploy, and scale GenAI, RAG, and agentic AI applications in cloud environments, leveraging modern tooling from LangGraph to hyperscaler platforms.

In this role you will translate business problems into technical roadmaps, design and implement LLM-powered agents, ensure governance and safety, manage