AI Solution Architect

Who we areBitrock is a high‑end consulting and system integration company, strongly committed to offering cutting‑edge and innovative solutions. Our tailored consulting services enable our clients to preserve the value of legacy investments while migrating to more efficient systems and infrastructure. We take a holistic approach to technology : we consider each system in its totality, as a set of interconnected elements that work together to meet business needs.We thrive on overcoming challenges to help our clients reach their goals, by supporting them in the following areas : Data, AI & ML Engineering; Back‑end Engineering, Platform Engineering, Front‑end Engineering, Product Design & UX Engineering, Mobile App Development, Quality Assurance, FinOps, Governance. The effectiveness our solutions also stems from partnerships with key technology vendors, like HashiCorp, Confluent, Lightbend, Databricks, and Meterian.Who we are looking forWe’re seeking a highly skilled and experienced Senior Software Engineer / Solution Architect to join our dynamic team. This pivotal role requires deep expertise in the Java / JVM ecosystem, modern microservice architectures, and complex data management. A critical focus of this role is designing and building AI Agents that are context‑aware and capable of complex actions, utilizing the Model Context Protocol (MCP) and Spring AI.Who you areThe ideal candidate will bridge architectural design with hands‑on implementation, driving the development of secure, scalable, and high‑performance applications that leverage the full potential of connected AI.Key ResponsibilitiesAI Agent & MCP Development : Design, develop, and deploy sophisticated AI Agents using Spring AI. Crucially, lead the implementation and integration of the Model Context Protocol (MCP), enabling agents to securely and efficiently access external data, tools, and services (databases, APIs, file systems).Architecture & Design : Define and implement robust, scalable, and secure system architectures, specializing in Java / Spring‑based microservices. Lead the technical design for new features, ensuring optimal integration of AI and data components.Core DevelopmentWrite high‑quality, efficient, and testable code primarily in Java on the JVM. Ensure best practices, code standards, and secure coding principles are followed.Data & CachingDesign and optimize data models for both Relational Databases (e.g., PostgreSQL, MySQL) and NoSQL Databases (e.g., MongoDB). Implement and manage advanced Caching strategies (e.g., Redis) for high performance.SecurityDesign and enforce application‑level security measures (e.g., OAuth2, JWT, Spring Security), including secure credential management for MCP connections.Mentorship & Leadership : Provide technical guidance, code reviews, and mentorship to team members, driving expertise in AI integration patterns.RequirementsExperience : 7+ years of professional software development experience, with at least 2 years in an Architect or Lead Engineer capacity.Core Technology : Expert proficiency in Java and the JVM ecosystem.Frameworks : Deep, hands‑on experience with the Spring Framework (Spring Boot, Spring MVC, Spring Data, Spring Security).AI & Agents : Proven experience in developing AI / ML‑driven applications and building production‑grade AI Agents (e.g., for orchestration, RAG, tool use).Model Context Protocol (MCP) : Mandatory hands‑on experience in implementing the MCP (Model Context Protocol), including building / consuming MCP Servers and / or MCP Clients for connecting LLMs to external systems. Experience with the Spring AI MCP Boot Starters / SDK is highly desirable.Databases : Strong command of data modeling, query optimization, and performance tuning for both Relational and NoSQL databases.Caching & Security : Extensive experience implementing distributed Caching solutions and solid understanding of modern application security principles.Experience with message queuing / streaming platforms (Kafka, RabbitMQ), which are often critical components in agentic workflows.Experience with cloud platforms (AWS, Azure, or GCP).Familiarity with containerization and orchestration (Docker, Kubernetes).Recruitment processOur recruitment process has 3 stages :First discovery short interview with our HR team.Technical interview with our Team Leaders.Final interview with our Head of Area.How to applyYou can apply via LinkedIn or send your CV to #J-18808-Ljbffr