Deployed Engineer

Job Description:

Velia Multiservices is partnering with an ambitious early-stage AI startup to identify a world-class Forward Deployed Engineer who thrives at the intersection of engineering, customer strategy, and AI innovation.

This is not a traditional Solutions Engineer role.

You'll work directly with Fortune 500 customers, helping them architect and deploy next-generation AI agents and enterprise search systems using cutting-edge APIs and agent infrastructure. You'll serve as both a hands-on engineer and trusted technical advisor — owning customer engagements from technical discovery through production deployment.

If you enjoy solving complex technical problems, writing production-grade Python, working closely with enterprise stakeholders, and shaping the future of AI applications, this role is built for you.

What You'll Do:• Own the complete technical customer lifecycle — from pre-sales discovery and proof-of-value execution to implementation and scaling in production• Partner directly with enterprise engineering teams to build AI-powered workflows, agent systems, evaluations, and integrations• Write production-quality Python code alongside customers to accelerate deployment success• Lead technical workshops, demos, evaluations, and feasibility sessions with executive stakeholders• Serve as the bridge between customer feedback and internal product/engineering teams• Help customers design and optimize their AI stack using advanced search and agent APIs• Act as a technical advisor to Fortune 500 organizations adopting AI-native infrastructure

Who We're Looking For:• 2–8 years of experience in Forward Deployed Engineering, Solutions Engineering, Solutions Architecture, or highly customer-facing technical roles• Experience owning enterprise customer engagements end-to-end• Strong Python engineering skills with the ability to debug production systems and stack traces confidently• Hands-on experience with demos, POCs, technical evaluations, and enterprise implementations• Deep curiosity and practical understanding of AI, LLMs, agents, and modern AI tooling• Comfortable using tools like Claude Code, Cursor, Codex, or similar AI-assisted development environments• Exceptional communication skills with executive presence and confidence interacting with C-level stakeholders• Background from high-caliber engineering organizations is strongly preferred (Snowflake, Databricks, MongoDB, etc.)

Qualifications: Bachelor's degree in Computer Science or equivalent technical discipline preferred Proven ability to operate in fast-moving, high-ownership startup environments Willingness to travel occasionally for strategic customer engagements Travel 1–2x Monthly.