

Harnham
Forward Deployed AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Forward Deployed AI Engineer on a 12-month contract, paying $100-$120/hour, remote with optional hybrid in the Dallas area. Requires 5+ years in AI/ML, strong Databricks expertise, and relevant certifications.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
960
-
🗓️ - Date
June 2, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Engineering #Deployment #Spark (Apache Spark) #Azure #Python #Databases #Databricks #Cloud #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Langchain #ML (Machine Learning) #Data Science #MLflow #GCP (Google Cloud Platform) #Consulting #Hugging Face
Role description
Forward Deployed AI Engineer
Harnham, the leading recruitment specialist in Data and AI, is partnering with a Databricks consulting organisation delivering enterprise‑scale GenAI solutions. They are hiring experienced Forward Deployed Engineers to build and deploy production‑ready AI systems for end clients.
• Role: Senior Forward Deployed Engineer
• Location: Remote (Dallas area preferred – hybrid 2–3 days/week optional)
• Pay: $100 - $120 per hour W2 (or via your own LLC)
• Length: 12 month contract (extendable)
• Utilization: 40 hours/week
The Role
As a Senior GenAI Engineer, you will deliver end‑to‑end GenAI solutions directly to enterprise clients. This is a highly hands‑on, delivery‑focused role, not traditional data science, focused on building, deploying, and scaling LLM and RAG applications on the Databricks platform.
You’ll work in a client‑facing capacity, owning projects from initial scoping through to production deployment.
Key Responsibilities
• Deliver E2E GenAI solutions on Databricks
• Build RAG and LLM‑based applications using enterprise data
• Implement vector search and agentic workflows (LangChain, etc.)
• Productionise AI systems using CI/CD, MLOps, and cloud pipelines
• Work directly with clients to deploy and optimise AI solutions
Requirements
• 5+ years in AI/ML engineering or data systems
• Strong hands‑on expertise with Databricks (Spark, MLflow, Unity Catalog)
• Proficiency in Python and tools such as LangChain, OpenAI, Hugging Face
• Experience with vector databases (Pinecone, FAISS, Weaviate, etc.)
• Strong cloud and CI/CD experience (AWS, Azure, or GCP)
• Excellent communication skills for client‑facing delivery
• Databricks certifications (ML Engineer, GenAI, Data Engineer)
Next Steps
If you are interested in this opportunity, please apply below
Forward Deployed AI Engineer
Harnham, the leading recruitment specialist in Data and AI, is partnering with a Databricks consulting organisation delivering enterprise‑scale GenAI solutions. They are hiring experienced Forward Deployed Engineers to build and deploy production‑ready AI systems for end clients.
• Role: Senior Forward Deployed Engineer
• Location: Remote (Dallas area preferred – hybrid 2–3 days/week optional)
• Pay: $100 - $120 per hour W2 (or via your own LLC)
• Length: 12 month contract (extendable)
• Utilization: 40 hours/week
The Role
As a Senior GenAI Engineer, you will deliver end‑to‑end GenAI solutions directly to enterprise clients. This is a highly hands‑on, delivery‑focused role, not traditional data science, focused on building, deploying, and scaling LLM and RAG applications on the Databricks platform.
You’ll work in a client‑facing capacity, owning projects from initial scoping through to production deployment.
Key Responsibilities
• Deliver E2E GenAI solutions on Databricks
• Build RAG and LLM‑based applications using enterprise data
• Implement vector search and agentic workflows (LangChain, etc.)
• Productionise AI systems using CI/CD, MLOps, and cloud pipelines
• Work directly with clients to deploy and optimise AI solutions
Requirements
• 5+ years in AI/ML engineering or data systems
• Strong hands‑on expertise with Databricks (Spark, MLflow, Unity Catalog)
• Proficiency in Python and tools such as LangChain, OpenAI, Hugging Face
• Experience with vector databases (Pinecone, FAISS, Weaviate, etc.)
• Strong cloud and CI/CD experience (AWS, Azure, or GCP)
• Excellent communication skills for client‑facing delivery
• Databricks certifications (ML Engineer, GenAI, Data Engineer)
Next Steps
If you are interested in this opportunity, please apply below






