AI ML Architect​/Senior FDE Lead

Prosper, United States | Posted on 15/09/2026

Weare looking for a True AI Forward Deployed Engineer (as coined by Palantir!)who can architect enterprise‑grade AI systems, not just prototype them. Weare not looking for someone to hand off a design doc and walk away. We are looking for someone to take AI all the way – from system architecture to production infrastructure that scales with the client’s business.

A senior technical leadership role at the intersection of architecture rigor, hands‑on engineering, and production‑grade delivery.

Anthrobyte builds production‑grade enterprise AI systems forglobal clients across industries. As we build out our presence in the U.S. from

San Francisco, we need a senior AI/ML architect who can hold the full technical journey: system architecture, agentic and LLM infrastructure design, hands‑onbuild, and production deployment — all as one coherent capability.

This is not a role where you hand off an architecture diagram and move on to the next project. You will work directly with the CTO, founding team, and enterprise clients to define how AI systems are architected,engineered, and hardened for production inside complex organisations. You willbe the person who walks into a room with a messy, high‑stakes technical problem and walks out with an architecture the team can actually build — and then builds it.

Ownthe full technical journey of AI engagements — architecture, hands‑on build,forward deployment, and production hardening — as one coherent capability.

Growinto executive‑level technical leadership — shaping the company’s AI architecture standards, technical IP, and engineering practice at scale.

Own the architecture. Ship itto production.

• Lead architecture discovery with enterprise clients — assess data maturity, system landscape, and AI readiness before asingle line of code is written
• Own end‑to‑end system design for AI proposals:model selection, RAG/agentic architecture, data pipeline design, infrastructure sizing, and ROI framing
• Build working prototypes, architecture blueprints, and technical proof points that de‑risk the engagement before fullbuild
• Set technical standards and reusable architecture patterns that the broader engineering team builds on

Forward Deployment & Production Engineering

• Be hands‑on in the build — write production code, design data pipelines, and stand up the infrastructure your architecture calls for
• Own deployment realities: integration complexity, security and compliance constraints, scaling, and observability
• Drive go‑live milestones, uptime, andpost‑deployment performance with direct accountability for outcomes
• Debug, iterate, and adapt in production — when something breaks, you own the fix, not just the postmortem

Technical Leadership & Client Engagement

• Act as the trusted technical authority to client stakeholders — CTOs, VPs of Engineering, platform teams — not just a vendor onthe call
• Translate deep technical tradeoffs into language business stakeholders can act on, without losing the substance
• Collaborate with presales and delivery teams toensure every commitment made to a client is technically buildable
• Build long‑term technical trust with clients that turns single engagements into expanded, multi‑year mandates

Platform & Applied AI Research

• Define AI architecture patterns for the firm:
  
  LLM orchestration, RAG pipelines, agentic workflows, and evaluation frameworks
• Stay ahead of applied AI research and emerging frameworks; bring what matters back to the team before it’s common knowledge
• Mentor AI engineers on both architecture rigorand forward‑deployed delivery craft
• Contribute to Anthrobyte's technical knowledge capital — architecture playbooks, reusable accelerators, and internal tooling

THE GROWTH PATHWAY

Demonstrate consistent…