Job VC
Presale AI Engineer (Data Solutions) (#1129)
Technologies
Description
Presale AI Engineer (Data Solutions)
Location: Remote
About the Role
We are looking for a Presale Engineer to shape AI / Data solutions during the presales phase and lay the foundation for their successful implementation. You will act as a trusted technical expert in client-facing discussions, translating complex business needs into high-impact technological roadmaps.
You will work with clients across different real-economy industries (construction, agriculture, manufacturing, oil & gas, etc.), supporting two core strategic vectors:
Horizontal approach:
Designing and building scalable data platforms and Single Source of Truth (SSOT) to provide a foundation for BI and AI initiatives
Vertical approach:
Developing AI-based PoC to MVP solutions for specific business use cases and immediate problem-solving
Key Responsibilities:
Consultative Sales: Support the Presale Manager in preparing and defending the technical part of proposal
s during both internal and external sessions
Solution Shaping:
Translate business needs into structured solution concepts, defining key functional elements (actors, key use cases, high-level User Stories)
Architecture Design:
Design high-level solution architecture (C4 model: System Context & Containers) and select the most appropriate technology stack
Prototyping:
Create interactive frontend prototypes (Lovable or similar) to visualize and validate concepts with clients
Team Composition & Resource Planning:
Advise on the optimal team structure (roles, seniority, and involvement) and phase breakdown required for successful project delivery
Estimation & Validation:
Prepare ranged high-level estimates (ROM, typically ranging from −25% to +75% accuracy), define assumptions / risks, and critically evaluate external estimates from vendors to identify “red flags” or technical inconsistencies
Knowledge Transfer:
Ensure a smooth handover of the technical vision to the delivery team once the project starts
Your Expertise:
We
are looking for a talented Senior Engineer with a
solution architecture mindset
. This is a
no-coding role
focused on architectural design and strategic validation.
Technical Ecos
ystem Knowledge:
Core Stack (Python & SQL):
Experience and hands-on understanding of the Python and SQL ecosystem as the primary standard for
AI, Machine Learning, and Data projects
(ability to read code, patterns, and validate architectures)
Prototyping Stack (JavaScript/TypeScript):
Understanding of JS / TS logic to work with rapid prototyping tools (Lovable, Base 44, v0) and visualize the frontend part of solutions
Containerization & Infra:
Good understanding of
Docker and Kubernetes
principles for designing and validating modern, portable architectures
Full Stack Foundation:
Strong understanding (or past hands-on experience) of Full Stack development, enabling a holistic view of end-to-end system flows, from user interfaces to backend logic and complex integrations
Core AI, ML & Data Engineering:
Hands-on understanding of
Classical Machine Learning
(predictive models, forecasting) and
GenAI /
LLM-based
patterns
(RAG vs. Fine-tuning, LLM agents)
Experience with
Vector Databases
and their role in semantic search and RAG architectures
Ability to identify the right approach (ML vs. GenAI) based on feasibility, data availability, and ROI
Understanding of data layers (DWH, Lakehouse, Data Pipelines, SSOT concepts)
Architectural Vision:
Ability to design architectures using the
C4 model or similar
(System Context & Containers, sometimes Components for the most risky parts)
Experience in high-level estimation (ROM, typically ranging from −25% to +75% accuracy) and understanding of system complexity drivers
Cloud Platforms:
Experience with at least one major cloud platform (AWS, Azure, GCP)
Communication & Mindset:
Strong client-facing skills with the ability to lead technical discussions at the
C-level
Consultative mindset: focus on understanding business problems and proposing practical, ROI-driven solutions
Englis
h level: Advanced (C1)
What’s in it for you?
Opportunity to grow into a key contributor or leader of the AI direction in a fast-growing business unit of ZONE3000
Work with cutting-edge AI technologies (GenAI, LLMs, Agentic AI) and shape how they are applied in real business scenarios
Operate at the intersection of technology and business, influencing solution design before implementation
Decent market rate compensation depending on experience and skills
Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
Support of personal and professional development
Life-balance support
truly flexible schedule, no time-tracking at all
25 working days of vacation
5 days of paid sick leave per month (if necessary) without providing a medical certificate
generous maternity / paternity leave program
Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it
About the company and project:
Since 1998, we have been on the lookout for the right talent, and we now have over 2,400 professionals working at ZONE3000 offices in Lviv and Kharkiv, as well as 15 hubs throughout Ukraine.
We help companies that excel in their core business identify AI opportunities and implement AI solutions that really work.
Our culture is built on the values that we live every day; the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.
Location: Remote
About the Role
We are looking for a Presale Engineer to shape AI / Data solutions during the presales phase and lay the foundation for their successful implementation. You will act as a trusted technical expert in client-facing discussions, translating complex business needs into high-impact technological roadmaps.
You will work with clients across different real-economy industries (construction, agriculture, manufacturing, oil & gas, etc.), supporting two core strategic vectors:
Horizontal approach:
Designing and building scalable data platforms and Single Source of Truth (SSOT) to provide a foundation for BI and AI initiatives
Vertical approach:
Developing AI-based PoC to MVP solutions for specific business use cases and immediate problem-solving
Key Responsibilities:
Consultative Sales: Support the Presale Manager in preparing and defending the technical part of proposal
s during both internal and external sessions
Solution Shaping:
Translate business needs into structured solution concepts, defining key functional elements (actors, key use cases, high-level User Stories)
Architecture Design:
Design high-level solution architecture (C4 model: System Context & Containers) and select the most appropriate technology stack
Prototyping:
Create interactive frontend prototypes (Lovable or similar) to visualize and validate concepts with clients
Team Composition & Resource Planning:
Advise on the optimal team structure (roles, seniority, and involvement) and phase breakdown required for successful project delivery
Estimation & Validation:
Prepare ranged high-level estimates (ROM, typically ranging from −25% to +75% accuracy), define assumptions / risks, and critically evaluate external estimates from vendors to identify “red flags” or technical inconsistencies
Knowledge Transfer:
Ensure a smooth handover of the technical vision to the delivery team once the project starts
Your Expertise:
We
are looking for a talented Senior Engineer with a
solution architecture mindset
. This is a
no-coding role
focused on architectural design and strategic validation.
Technical Ecos
ystem Knowledge:
Core Stack (Python & SQL):
Experience and hands-on understanding of the Python and SQL ecosystem as the primary standard for
AI, Machine Learning, and Data projects
(ability to read code, patterns, and validate architectures)
Prototyping Stack (JavaScript/TypeScript):
Understanding of JS / TS logic to work with rapid prototyping tools (Lovable, Base 44, v0) and visualize the frontend part of solutions
Containerization & Infra:
Good understanding of
Docker and Kubernetes
principles for designing and validating modern, portable architectures
Full Stack Foundation:
Strong understanding (or past hands-on experience) of Full Stack development, enabling a holistic view of end-to-end system flows, from user interfaces to backend logic and complex integrations
Core AI, ML & Data Engineering:
Hands-on understanding of
Classical Machine Learning
(predictive models, forecasting) and
GenAI /
LLM-based
patterns
(RAG vs. Fine-tuning, LLM agents)
Experience with
Vector Databases
and their role in semantic search and RAG architectures
Ability to identify the right approach (ML vs. GenAI) based on feasibility, data availability, and ROI
Understanding of data layers (DWH, Lakehouse, Data Pipelines, SSOT concepts)
Architectural Vision:
Ability to design architectures using the
C4 model or similar
(System Context & Containers, sometimes Components for the most risky parts)
Experience in high-level estimation (ROM, typically ranging from −25% to +75% accuracy) and understanding of system complexity drivers
Cloud Platforms:
Experience with at least one major cloud platform (AWS, Azure, GCP)
Communication & Mindset:
Strong client-facing skills with the ability to lead technical discussions at the
C-level
Consultative mindset: focus on understanding business problems and proposing practical, ROI-driven solutions
Englis
h level: Advanced (C1)
What’s in it for you?
Opportunity to grow into a key contributor or leader of the AI direction in a fast-growing business unit of ZONE3000
Work with cutting-edge AI technologies (GenAI, LLMs, Agentic AI) and shape how they are applied in real business scenarios
Operate at the intersection of technology and business, influencing solution design before implementation
Decent market rate compensation depending on experience and skills
Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
Support of personal and professional development
Life-balance support
truly flexible schedule, no time-tracking at all
25 working days of vacation
5 days of paid sick leave per month (if necessary) without providing a medical certificate
generous maternity / paternity leave program
Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it
About the company and project:
Since 1998, we have been on the lookout for the right talent, and we now have over 2,400 professionals working at ZONE3000 offices in Lviv and Kharkiv, as well as 15 hubs throughout Ukraine.
We help companies that excel in their core business identify AI opportunities and implement AI solutions that really work.
Our culture is built on the values that we live every day; the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.