Vention

AI solution architect for software delivery

In short

This lead-level Solution Architect role owns AI architecture across the software delivery lifecycle at Vention, rolling out spec-driven development (SDD) workflows and AI agent integrations across teams and projects. It demands hands-on Solution Architect experience, strong architectural judgment, SDD expertise, and a track record of scaling workflows and rollout plans across teams, plus fluent Russian for team communication. The company is building AI Forge, an AI-native SDLC platform, and offers a hybrid work setup in Poland with AI tool licenses, private medical care, and other benefits.

About the Role
At Vention, we are driving AI transformation across the software development lifecycle (SDLC) in a large-scale enterprise environment. At the center of this work is AI Forge, our AI-native SDLC platform. It combines an application that makes delivery progress and outcomes visible with the Vention SDLC Skill Pack: a ready-to-use framework of AI agents, spec-driven workflows, and integrations with issue trackers, Git, Figma, test management, and AI coding tools.
Responsibilities
•Own the AI architecture for the software delivery lifecycle and bring AI agents and SDD into day-to-day work across teams and projects
•Define and roll out AI-enabled, spec-driven delivery models using BMAD, SpecKit, and similar SDD approaches
•Lead the integration of AI tools, agents, and services across specification, development, review, testing, documentation, and release
•Build rollout plans, operating processes, and tracking mechanisms for adoption, delivery progress, and effectiveness
•Set engineering standards, governance, and metrics that improve speed, quality, consistency, and business impact
•Scale proven AI workflows across teams as repeatable delivery models
•Explore emerging technologies as part of the R&D team and turn them into practical delivery capabilities
Requirements
•Experience as a Solution Architect, with ownership of technical architecture and system design on commercial projects
•Strong architectural judgment and the ability to make practical trade-offs across scalability, maintainability, and delivery impact
•Experience designing and implementing AI-first workflows across the software delivery lifecycle
•Hands-on experience with Spec-Driven Development (SDD) in real delivery environments
•Experience rolling out workflows across teams and scaling them beyond a single project
•Experience building rollout plans, adoption roadmaps, tracking mechanisms, and effectiveness metrics
•Fluent Russian for day-to-day communication within the team
Conditions & Benefits
•EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
•Licenses for AI tools: GitHub Copilot, Cursor, and others
•Private medical care with LuxMed
•Kafeteria MyBenefit credits for stores, restaurants, and cafés
•Access to a Multisport membership to stay active
•Glasses reimbursement program
•Referral bonuses for bringing in new talent

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