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. 

This transformation began within a complex enterprise product, where planning, specification, development, testing, and delivery are being redefined through AI-enabled and spec-driven workflows. Today, that product stands at the center of a broader rollout, with the approach already expanding across early-adopter teams and a long-term ambition to scale across 200+ client engagements across the company. 

We are looking for an AI Solution Architect to design, roll out, and operationalize these delivery models across the SDLC. You’ll join a senior R&D team where experimentation is encouraged, ownership is broad, and emerging technologies are turned into practical capabilities for teams and projects. 

• Own the AI architecture for the software delivery lifecycle and bring AI agents and SDD into day-to-day work across teams and projectы
• 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 

• 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

• 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