Lead AI Architect

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Block Labs

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Crypto • Web 3 • B2B

Block Labs is a Web3-focused builder, investor, and marketing partner for blockchain projects. The company provides end-to-end blockchain development (smart contracts, decentralized wallets, NFT exchanges, payment gateways), web3-native marketing (social management, influencer/KOL campaigns, paid media, PR, partnerships), and investment support from seed to Series A. Block Labs works with founders to accelerate growth through technical development, go-to-market strategies, and strategic capital, operating from Sofia, Bulgaria.

51 - 200 employees

Founded 2022

₿ Crypto

🌐 Web 3

🤝 B2B

📋 Description

• Own and evolve the strategy, architecture, and execution of AI-driven automation across the organisation, with a focus on multi-agent systems and end-to-end orchestration. • Provide hands-on technical leadership, working closely with engineering leads to define standards, patterns, and best practices for deploying LLM-powered services. • Design scalable AI architectures incorporating model orchestration, agent frameworks, retrieval pipelines, evaluation systems, and human-in-the-loop workflows. • Lead implementation of agentic frameworks (e.g., LangGraph, LangChain, AutoGen, CrewAI) to support complex task delegation, inter-agent communication, and deterministic reasoning paths. • Define and maintain a robust “trust layer” including fact-verification, retrieval-augmented generation, validation logic, guardrails, and safety controls. • Partner with backend and data engineering teams to integrate AI systems with data pipelines, internal APIs, and event-driven architectures. • Ensure AI services are observable, measurable, and tuned for both performance and accuracy, defining SLAs and operational metrics. • Guide model-selection, fine-tuning strategies, vector search usage, and knowledge-graph integrations where required. • Oversee architecture reviews, documentation standards, and long-term AI platform scalability. • Collaborate closely with security stakeholders to ensure safe, compliant, and privacy-aware operation of all AI systems. • Represent the AI function in cross-company planning, roadmap discussions, and technical leadership forums. • Maintaining visibility into the cost profile of artificial intelligence systems and making sure that design choices support predictable spend, scalability and long-term sustainability.

🎯 Requirements

• Several years of experience building and deploying ML or LLM-based systems in production environments • Proven experience architecting agentic or multi-step AI workflows, including orchestration, tool-use, retrieval, and safety layers • Deep understanding of modern LLM frameworks, vector databases, and retrieval pipelines (e.g., Pinecone, Weaviate, pgvector) • Familiarity with workflow orchestrators (e.g., Temporal, Dagster, Airflow) and event-driven system design • Experience implementing content-safety, compliance, or guardrail systems is a strong advantage • Strong understanding of distributed architectures, microservices, and system interdependencies • Experience collaborating with cross-functional teams and communicating complex technical concepts with clarity • Comfortable leading architecture discussions, making strategic technical decisions, and mentoring engineering teams • A proactive, ownership-driven mindset with a passion for building reliable, intelligent, and scalable AI platforms

🏖️ Benefits

• Mature, mission-driven, and low-ego culture • Opportunity to work with senior engineers and product strategists • A focus on deep technical expertise and thoughtful system design