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Presale Tech Lead (AI & Data Solutions) (#1229)

ZONE3000
Формат:
повний remote
Рівень:
lead
Джерело:
jobs.dou.ua
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Location: Remote

About Us

At ZONE3000, we help companies in traditional sectors (construction, agriculture, manufacturing) become more efficient through technology. We work with clients across two key streams:

Horizontal approach: Designing and building scalable data platforms and a Single Source of Truth, creating a solid foundation for BI and AI initiatives

Vertical approach: Creating targeted AI solutions—from PoC to MVP—to automate specific business cases and solve critical client pain points

Why is this role exciting?

Large-scale impact: You transform the real economy sector through strategic decisions Your architectures will help build homes or cultivate crops more efficiently using AI and Data

Technological frontier: You will design high-level solutions “from scratch” leveraging Data, GenAI (LLMs, RAG) and autonomous agents (Agentic AI)

Rapid prototyping: You will create solution concepts and visualize them through front-end prototypes using modern tools (specifically Claude Code, Lovable or similar alternatives)

Broad domain exposure: Every case represents a new industry and a new challenge. You will build an invaluable portfolio of solutions across various domains

Autonomy and expertise: You are the technical voice of Presales. You design high-level solution architecture, validate vendor offerings, and consult clients

What you will do:

Create solution concepts addressing client problems and visualize them using front-end prototypes (Claude Code, Lovable or similar tools)

Design conceptual solution architectures and select the optimal tech stack for two types of projects: “horizontal” (data platforms as a foundation) and “vertical” (targeted AI solutions from PoC to MVP)

Partner with the Presale Manager and Business Analyst to define the optimal team structure (roles, seniority, involvement) and project phase breakdown required for successful delivery

Collaboratively develop ranged high-level estimates (typically —25% to +75% accuracy), define key technical assumptions and risks

Work alongside the Presale Manager to structure, justify, and present the technical portion of project proposals to prospective clients

Partner with the presale and delivery leads to ensure a seamless handover of the technical vision once the project transitions into the delivery stage.

Technical Expertise Requirements

Must-Have:

Presale Experience: Hands-on experience working side-by-side with Project Managers and Business Analysts to co-create technical proposals, scope boundaries, and estimates.

Communication & Mindset: English B2 — C1 (Upper Intermediate — Advanced), strong client-facing & C-level communication skills, consultative ROI-driven mindset.

GenAI & AI Architecture: Deep understanding of GenAI / LLM patterns (RAG vs. Fine-tuning, Agents, Vector DBs) and the ability to choose between ML vs. GenAI based on business feasibility.

Data Engineering Concepts: Solid understanding of data layers (DWH, Lakehouse, Data Pipelines, SSOT).

Architectural Vision: Hands-on experience with architectural modelling, Cloud Proficiency: sufficient AWS / Azure / GCP experience

Core Technical Stack: Strong engineering background in any modern stack plus strong Python and SQL ecosystem proficiency

Nice-to-Have:

Classical ML: Experience with predictive modeling and forecasting.

Infrastructure: Understanding of Docker and Kubernetes principles.

Full Stack Background: Prior hands-on experience in Full Stack development for end-to-end system understanding.

Prototyping: Basic understanding of JS / TS logic and rapid prototyping AI tools (Claude Code, Lovable or similar tools).

What we offer:

Direct reporting: Work directly under the leadership of the Head of Delivery Office within a new business unit.

Stability and safety: Fully remote work or work from our offices / hubs in Ukraine (equipped with power generators, reliable internet, and coffee).

Fixed compensation: Transparent and stable financial compensation.

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