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Job Summary:
AI Foundry is an AI building and consulting business working with some of the largest companies in the world. The role involves setting technical direction for AI-native products, leading engineering teams, and translating business goals into technical strategies while staying hands-on with the code and architecture.
Responsibilities:
• Set technical direction for AI-native products, multi-agent systems, platform services, and infrastructure decisions while staying close enough to the code and architecture to know what is really happening.
• Translate broad business goals into technical strategy, architecture, roadmaps, prototypes, and execution plans that teams can actually build against.
• Build proof-of-concepts, reference implementations, integrations, evaluation harnesses, and technical demos when that is the fastest way to clarify direction.
• Serve as a senior technical voice in leadership conversations, helping executives understand tradeoffs, risks, sequencing, and build-vs-buy decisions with evidence from real systems.
• Challenge vendor, partner, and internal assumptions with substance when a technical claim, architecture, roadmap, or AI narrative does not hold up.
• Work directly with product, engineering, infrastructure, and business teams to design, build, review, and improve systems that support user outcomes and commercial goals.
• Debug technical blockers, review pull requests or implementation plans, and help teams move from abstract architecture to working software.
• Lead calls with overseas engineering and client teams to review architecture, inspect implementation progress, provide technical guidance, and hold teams to a high bar.
• Establish hands-on patterns for agentic systems, AI application architecture, observability, evaluation, reliability, and scalable delivery.
• Build, mentor, and influence technical teams as the business scales, creating leverage through working examples, clear standards, code review, and strong technical judgment.
• Stay deeply fluent in AI capabilities, infrastructure, agentic frameworks, inference economics, developer tools, and the competitive landscape by using the tools yourself.
• Travel to India 8+ times per year to work directly with engineering, infrastructure, product, and client teams.
Qualifications:
Required:
• You have led and built technical work at significant scale and understand what breaks when systems, teams, users, and business expectations all grow at once.
• You are deeply AI-fluent: able to engage substantively on agentic systems, model capabilities, AI product architecture, infrastructure, inference, and evaluation.
• You have hands-on technical credibility: you can read code, write code or prototypes when needed, review architecture, challenge assumptions, and demonstrate a better pattern.
• You can connect technical decisions to business outcomes, customer value, cost, reliability, speed, and long-term platform leverage.
• You have strong executive presence and can sit with senior leaders, customers, vendors, or partners and say what you think is correct with clarity, evidence, and practical technical grounding.
• You are comfortable operating across layers of the stack, from infrastructure and platform services through product experience and enterprise deployment.
• You are building right now: using AI tools, writing or reviewing code, inspecting system behavior, and staying current through direct practice rather than distance from the work.
• You thrive in ambiguity and can define the playbook rather than wait for one to appear.
• You can hold a high bar for teams without being territorial, dismissive, or hard to collaborate with.
• You communicate clearly in writing and conversation, especially across technical, business, executive, and global stakeholders.
• You are energized by building from the ground up with real resources behind the work.
• You understand how to lead through substance: working systems, strong reasoning, clear artifacts, direct feedback, and a willingness to make decisions with incomplete information.
Company:
Launching soon. Founded in , the company is headquartered in , , with a team of 2-10 employees. The company is currently Early Stage.