Client-Facing AI Solutions Engineer (Forward-Deployed)

Evnek; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Evnek is seeking a Forward Deployed Engineer with 5–10 years of experience in AI, data engineering, technical consulting, or solution delivery to work with enterprise clients on production-ready Generative AI solutions.

You will bridge business requirements with AI implementation, understand data platforms, and collaborate with AI teams to deliver end-to-end data-to-model pipelines using Snowflake/Databricks and cloud-native services.

Qualifications

• 5-10 years of experience in AI, data engineering, technical consulting, or solution delivery.

Responsibilities

• Bridge the gap between business requirements and AI solution implementation by working with enterprise clients and AI teams.
• Understand data platforms, ETL/ELT pipelines, data transformation, and end-to-end data flow to AI models.
• Work with LLMs, RAG architectures, prompt engineering, vector databases, and AI application delivery.
• Understand solution architectures, API specs, data models, and cloud-native AI services on AWS and/or Azure with engineering teams.
• Hands-on exposure to data platforms such as Snowflake, Databricks, or equivalent.
• Demonstrate client-facing skills: discovery workshops, gathering requirements, drafting SOWs, proposals, and documentation.
• Own delivery outcomes, manage multiple engagements in a fast-paced consulting environment.
• Exhibit strong communication, stakeholder management, analytical thinking, and problem-solving.

Skills

LLMs

RAG architectures

prompt engineering

vector databases

data engineering

consulting

Tools

Snowflake

Databricks

Job description

Evnek is seeking a Forward Deployed Engineer with 5–10 years of experience in AI, data engineering, technical consulting, or solution delivery to work with enterprise clients on production-ready Generative AI solutions.

You will bridge business requirements with AI implementation, understand data platforms, and collaborate with AI teams to deliver end-to-end data-to-model pipelines using Snowflake/Databricks and cloud-native services.