Senior AI Forward-Deployed Engineer - Remote US

IBM; Dallas (TX); Remote; USD 180,000 - 240,000; Full time

Job summary

IBM Consulting in the United States is seeking an experienced Forward Deployed Engineer - AI to transform complex business challenges into production-ready AI solutions, combining software engineering, data science, GenAI, and agentic AI.

You will work with clients to deploy end-to-end GenAI applications, integrate data with enterprise systems, apply MLOps, and drive measurable business impact across industries, with flexibility to work from anywhere in the US.

Qualifications

• 8–12+ years of AI/ML, data science, or software engineering experience delivering production AI.

Responsibilities

• Solve client challenges by identifying AI use cases and defining success metrics.
• Build and deploy GenAI, RAG, and agentic AI apps with LangGraph, CrewAI, and cloud platforms.
• Design LLM-powered agents, tool use, orchestration, and evaluation with guardrails and observability.
• Prepare data and integrate AI solutions with enterprise systems and APIs.
• Apply MLOps/LLMOps, testing, monitoring, and responsible AI for production readiness.
• Present insights, drive client adoption, and turn solutions into reusable assets.

Skills

Python

SQL

GenAI

Agentic AI

LLMs

RAG

LangChain

LangGraph

CrewAI

Cloud platforms

GIT

Docker

Kubernetes

Embeddings

ML frameworks

REST/FastAPI

Data Engineering

Client communication

Education

Bachelor’s degree

Master’s or PhD

Tools

Milvus

Elasticsearch

pgvector

Pinecone

scikit-learn

PyTorch

Pandas

Spark

REST API

FastAPI

AWS Bedrock

Azure AI Foundry

Google Vertex AI

Docker

Kubernetes

LangChain

LangGraph

CrewAI

Job description

IBM Consulting in the United States is seeking an experienced Forward Deployed Engineer - AI to transform complex business challenges into production-ready AI solutions, combining software engineering, data science, GenAI, and agentic AI.

You will work with clients to deploy end-to-end GenAI applications, integrate data with enterprise systems, apply MLOps, and drive measurable business impact across industries, with flexibility to work from anywhere in the US.