AI & Software Solutions Architect (Remote, Contract)

OUR HIRING PROCESS: We will 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 do not think machines can evaluate your application quite like our seasoned recruiting professionals—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 review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good 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 into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We are seeking a highly skilled AI & Software Solutions Architect with experience in developing complex software solutions for big data processing and high-load environments , to define and lead the end-to-end architecture for our enterprise platform. You will actively participate in discovery phases and design and guide the implementation of end-to-end solutions that combine data and cloud services. This role is instrumental in shaping our AI architecture strategy, driving automation with intelligent agent systems, and modernizing enterprise software workflows. You will define the end-to-end architecture for our platform, owning the reference architectures, guardrails, and roadmaps for secure, high-load big data processing and AI capabilities (LLMs, agentic applications) across multiple clouds. You will bridge the gap between business and tech, working with stakeholders and engineering teams to build scalable, secure architectures aligned with business goals. Key Responsibilities: Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Design and communicate scalable, reliable, and secure solutions that align with industry best practices. Participate in developing IT strategies, technologies, and project roadmaps. Ensure solutions are designed for performance, security, scalability, and high availability. Design and build cloud-native, LLM-based, and agentic AI solutions addressing real client business challenges Write production-grade NodeJS/Python for PoCs, architectural prototypes, and AI integrations Deploy ML and LLM-based solutions Implement MLOps, LLMOps, and AgentOps practices: CI/CD, automated testing, model monitoring, and experiment tracking. Lead architecture reviews, produce technical design documents, and contribute to standards. Requirements : 5+ years building and running production systems — not only demos and POCs Strong understanding of software development methodologies and practices, including Agile and DevOps. Hands-on experience building production LLM-based applications and agentic workflows Extensive experience with cloud platforms. Prior experience with AWS is a plus. Understanding of modern backend stacks (NodeJS/Python) and experience with legacy migration (PHP) is a benefit. Experience with database design and management (SQL, NoSQL). Strong understanding of software architecture patterns, including microservices, event-driven architecture (EDA), CQRS (Command Query Responsibility Segregation), and Domain-Driven Design (DDD). Hands-on experience designing and implementing event streaming systems using Apache Kafka, RabbitMQ, or similar brokers. Familiarity with Data Lakehouse architecture, including concepts like Delta Lake, Apache Iceberg, or similar table formats. Proficiency in documenting and visualizing system designs using various tools and approaches. Familiarity with hybrid search approaches (vector + full-text BM25/Elasticsearch). Strong query optimization skills across SQL and NoSQL databases (indexing, partitioning, query plans). Experience integrating LLMs into production systems — RAG pipelines, function calling, AI agent patterns. Certifications such as AWS Certified Solutions Architect, SEI, SAFE, and Claude Code Certifications nice to have What You’ll Bring: Mindset Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure Already using AI tools in your daily workflow (Claude Code, Copilot, or similar) Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to you Excellent communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders. Strong problem-solving skills and the ability to think strategically. B2+ English, comfortable collaborating across distributed, multicultural teams We offer: We offer a competitive salary tailored to the candidate's experience and skills. Payments are processed monthly (USD) Full Remote, Work schedule: Monday-Friday, from 1:00 pm to 9:00 pm EEST (incl. 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 Our recruitment process: Interview with HR Technical interview with Team Final interview with the Hiring Manager