Quick Summary
OUR HIRING PROCESS:
We review your application against our job requirements. We do not employ machine learning technologies during this phase, as we believe every human deserves attention from another human. We trust our seasoned recruiting professionals to evaluate your application thoroughly, as every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the hiring manager's review. This video interview is often followed by a test or short project to determine your fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc., and we never hire anyone without a face-to-face meeting (or via Zoom). You will be invited to a live meeting or Zoom to meet our INFUSE team.
From there, it's decision time! If you are still excited to join INFUSE and we find you to be a great fit, we will discuss your offer. We do not make offers without giving you the opportunity to speak with us live.
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We are seeking an AI & Software Solutions Architect to guide architectural decisions across INFUSE's products and teams. This role involves reviewing solutions from internal teams and external vendors, establishing shared engineering standards, leading legacy modernization efforts, and ensuring that production AI systems are reliable, secure, and cost-effective.
As the sole Solutions Architect in the Software Development department, you will report directly to the Director of Technology. You will work across 500+ repositories, including backend services, LLM-based products, and various legacy systems requiring ongoing modernization. This is a senior individual contributor role with company-wide technical influence and no direct people management. Success hinges on strong technical judgment, clear communication, and the ability to influence engineering decisions across teams. Your work will focus on architecture, reviews, and cross-project improvements, alongside prototypes and selected hands-on development tasks. Engineering teams will handle the broader implementation.
What you will do:
- Translate business needs into architectural decisions, explaining trade-offs, costs, and risks while balancing technical quality with delivery priorities.
- Review code, architecture, and vendor deliverables. Produce concise, actionable findings, prioritize improvements, and verify critical issue resolution.
- Establish shared project standards, including security, documentation, service contracts, and observability, guiding teams in their adoption.
- Define guardrails for production LLM and agentic systems, covering evaluation, prompt management, model routing, multi-provider access, security, and cost control.
- Guide legacy modernization initiatives, including application decomposition, authorization modernization, workflow migration, and safe transition planning.
- Collaborate with engineering and DevOps teams to advance Kubernetes adoption, improve deployment workflows and observability, and diagnose architectural bottlenecks.
- Build prototypes and reference implementations to validate decisions, and conduct technical interviews for engineering hires.
What you will bring:
- 5+ years in software engineering, including 3+ years owning architectural decisions for production systems as an architect, principal engineer, or technical lead, with experience taking solutions from concept to production.
- Strong computer science and system design fundamentals for scalable, high-load distributed systems, including reliability, failure handling, observability, and architectural trade-offs.
- Hands-on AWS experience designing and running production services, plus practical Kubernetes experience and the ability to work closely with DevOps on deployment and operational improvements.
- Experience delivering production LLM-based solutions, understanding their lifecycle from business need to operation. Relevant experience includes RAG, tool calling, multi-provider integrations, and cost optimization.
- Experience evaluating and monitoring LLM systems for quality, latency, and cost using observability and evaluation tooling such as Langfuse or similar platforms.
- Experience reviewing other teams' code and architecture, and guiding legacy modernization or migrations.
- Strong software engineering background, preferably with substantial Python and/or Node.js experience, and flexibility to work across different stacks, including legacy PHP.
- Experience with PostgreSQL and NoSQL design and query optimization, and asynchronous, event-driven systems using Kafka, RabbitMQ, or similar brokers.
- Practical experience using agentic coding tools such as Claude Code, Codex, or similar, with sound judgment for verifying generated code and assessing proposed changes.
- Clear technical writing and communication with engineers and non-technical stakeholders, connecting technical decisions to business goals, cost, risk, and measurable outcomes.
- B2 or higher English for collaboration with distributed teams.
Nice to have:
- Experience with AIOps: applying AI to operational workflows, including anomaly detection, alert correlation, incident triage, and observability.
- Understanding when classical ML is more appropriate than an LLM, and experience with MLOps.
- Experience with Keycloak or Azure AD SSO migrations.
- Experience with Backstage.
- Experience conducting vendor delivery audits.
- AWS Solutions Architect – Professional or Anthropic Claude certification.
We offer:
- Competitive salary tailored to experience and skills, processed monthly (USD).
- Full Remote work schedule: Monday-Friday, from 1:00 pm to 9:00 pm EEST (including 60-min breaks).
- Opportunity to work with cutting-edge AI and cloud solutions.
- Access to the latest AI tools and premium subscriptions.
- Long-term B2B collaboration.
- Paid sick leave, vacation, and public holidays.
- Reduced Fridays during the summer.