Forward Deployed / AI Solutions Engineer

A technology-focused role within a large, data-driven organization seeking an experienced engineer to build and scale modern AI, data, and application platforms. The position focuses on developing production-grade systems across machine learning and generative AI, while supporting enterprise-wide technology initiatives.

Core Responsibilities

Data Platform & Architecture

Work with cloud-based data platforms and warehouses to support AI and analytics workflows
Support data ingestion and transformation needs tied to AI/ML use cases
Build or contribute to ingestion workflows using Python, REST APIs, and cloud-native tools

Generative AI & LLM System

Develop retrieval-augmented generation (RAG) pipelines using enterprise document datasets
Implement embedding strategies and work with vector databases
Enable semantic search, document indexing, and corpus-level comparison workflows
Build agent-based and multi-step AI workflows using modern LLM orchestration frameworks
Define prompt management practices, evaluation frameworks, and safety guardrails

MLOps & Production System

Deploy machine learning models and AI pipelines in cloud environments
Support CI/CD practices for ML workflows and data pipelines
Contribute to monitoring, reliability, and scalability of production AI systems

Required Experience & Skills

5+ years in data science, machine learning engineering, AI consulting, or a related field
Strong proficiency in Python (production-level development)
Hands-on experience with LLM APIs and major AI ecosystems
Experience building RAG systems and working with vector databases
Familiarity with agentic AI and LLM orchestration frameworks
Experience with major cloud platforms (AWS, Azure, or similar)
Familiarity with modern cloud data platforms; experience with Snowflake is a plus
Solid SQL skills and comfort working with structured and unstructured data
Experience deploying AI/ML solutions in production environments
Strong communication skills with the ability to translate technical work into business value
Experience in client-facing or consulting contexts is a plus