Role Description
Senior Forward Deployed Engineer, Data & AI
US & India based | 100% remote |
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: Vytwo is an innovative technology company headquartered in Dallas, TX, dedicated to helping organizations unlock the full potential of their data through intelligent, scalable AI solutions. Our clients trust us to deliver results that drive real business transformation, and our team is passionate about staying at the forefront of what's possible. At Vytwo, you'll find a culture that values curiosity, collaboration, and the relentless pursuit of excellence.
Flexible work from home options available.
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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