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
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💰 - Day rate
960
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🗓️ - Date
June 2, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - 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