Solutions Architect
At Geniusee, we help businesses thrive through technology partnerships and strengthen the engineering community by sharing knowledge and creating opportunities 🙌
We live by our values: Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness, and Result-Driven Mindset. Here, you’ll find a safe, inclusive, and supportive environment where your voice is heard, and feedback is welcome 🤗
Whether you want to work from home or from our offices in Kyiv / Lviv / Warsaw with stable electricity and Wi-Fi, we’ve got you covered.
Join us and make an impact 💜
About the Role
Traditional software engineering is hitting an inflection point, and we are not waiting on the sidelines. At Geniusee, we are transforming our entire software delivery lifecycle (SDLC) across 300+ engineers through autonomous coding agents, structured specifications, and custom tooling built on top of the Anthropic frontier stack.
We are looking for a Principal AI Solutions Architect to lead this agentic transformation.
This is a high-impact, hands-on leadership role inside our Center of Excellence. Reporting directly to the CTO, you will own the architectural blueprint for how our teams build software with agents, personally lead brownfield pilot projects, and mentor our engineering culture into the agentic era.
Requirements:
● 7+ years in software engineering, with 2+ years as a Solutions Architect or Tech Lead delivering commercial systems for US/EU clients. Strong background in microservices, event-driven architectures, AWS, and working with legacy/brownfield codebases.
● Strong TypeScript/Node.js (platform core), plus hands-on fluency in at least one enterprise stack (Python, Java/Kotlin, .NET, or React).
● 12+ months of daily, production-grade development using coding agents (Claude Code required; Cursor or Codex as a plus) with shipped features and at least one measurable agentic SDLC rollout across a team of 5+ engineers.
● Deep practical knowledge of multi-agent patterns (single loop, planner/executor, orchestrators, swarms, agentic RAG) and hands-on experience building custom MCP servers/clients, designing robust tool schemas, auth, and sandboxing.
● Feature-level mastery of the Anthropic stack (Claude Code, Agent SDK, headless runs, hooks, subagents, prompt caching, memory, permission modes) and working knowledge of alternative stacks (OpenAI Agents SDK, LangGraph, CrewAI) to defend model routing by cost, latency, and capability.
● Hands-on experience with spec-driven delivery (OpenSpec, Spec Kit, BMAD) and agent quality engineering: automated evals on real codecases, LLM-as-a-judge, tracing (token spend, latency), prompt regression testing, and security guardrails (injection, secret leakage).
● Proven ability to run technical discovery, build architectural vision (ADRs, NFR targets), construct WBS-based estimates, and defend technical choices directly to clients.
● Demonstrated experience running technical workshops, upskilling engineers, assessing competencies, and driving change. Fluent English (B2+) for client demos and debates.
Nice to have:
● AWS Certified Solutions Architect (Professional) or Machine Learning Specialty.
● Public open-source contributions, custom plugins, MCP servers, or technical articles around agentic engineering.
● Experience with design-to-code pipelines (e.g., Figma MCP, visual regression, Playwright).
● Experience delivering projects under outcome-based or fixed-price models.
● Exposure to compliance frameworks in LLM contexts (SOC 2, HIPAA).
Responsibilities:
● Own and evolve the Solution Architecture role, plugins, worker packages, and gate checks inside our internal agentic platform; contribute to CLI, controller, and CI workflows.
● Act as the hands-on SA on presales and discovery phases for US/EU clients (ballpark estimates, solution architecture briefs, ADRs, client-facing readiness packages).
● Lead hands-on pilot implementations across 2–3 delivery projects simultaneously, auditing codebases, setting up CLAUDE.md and MCP tooling, and proving cycle-time improvements.
● Establish company-wide standards for spec-first development, reusable agent templates, and automated review/testing pipelines that feed directly back into the agent loop.
● Build and deliver multi-level training programs (Foundation to Lead), mentor an internal cohort of tech champions, and run technical office hours.
● Define and track agentic delivery metrics for the CTO (cycle time, code delivered through agents, defect rates, and EVM impact).
What will you get:
Career growth & projects
● Competitive salary based on your skills and experience, and a benefits package.
● Regular performance appraisals to support your career development.
● Professional development support: online courses, certifications, and study compensation (including English courses).
● A modern tech stack across challenging, long-term projects.
Health & well-being
● Paid vacation (18 working days), public holidays (11 days), and sick leave (15 days).
● VIP medical insurance or sports coverage.
Work environment & flexibility
● Remote work from anywhere in the world or in one of our offices in Kyiv, Lviv, or Warsaw.
● Necessary equipment to perform your work.
Culture & community
● A collaborative and open culture where contributions are recognized.
● Regular corporate online & offline activities.
● Geniusee Charity Fund, making a difference beyond tech.