Senior Forward Deployed Engineer

Responsibilities:

• Partner directly with enterprise clients to understand technical requirements and deploy tailored Data & AI solutions
• Design, build, and implement end-to-end data pipelines, ML models, and AI-driven workflows in customer environments
• Serve as the primary technical liaison between client stakeholders and internal engineering teams
• Troubleshoot and resolve complex integration, deployment, and performance issues in production environments
• Conduct technical discovery sessions, demos, and proof-of-concept builds to accelerate client adoption
• Provide expert guidance on data architecture, LLMs, machine learning, and AI best practices
• Collaborate cross-functionally with product and engineering to surface client feedback and influence the roadmap

Requirements:

• 5+ years of experience in a forward deployed, solutions engineering, or senior data/AI engineering role
• Strong proficiency in Python, SQL, and modern data stack tools (e.g., Spark, dbt, Airflow)
• Hands-on experience with machine learning frameworks and AI/LLM technologies (e.g., TensorFlow, PyTorch, OpenAI APIs)
• Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP
• Proven ability to communicate complex technical concepts clearly to both technical and non-technical audiences
• Strong problem-solving skills with a customer-first, consultative mindset
• Ability to travel to client sites as needed

About Us:

Flexible work from home options available.

Originally posted on Himalayas