Senior Solutions Architect (AI & Agentic Systems)

AboutUs

We are aglobal leader in maritime solutions, with significant focus on digitaltransformation across the industry. Our mission is to redefine our fleetoperations through intelligent platforms, IoT ecosystems, AI and scalable cloudarchitectures. By combining deep domain expertise with cutting-edge technology,we enable safer, smarter, and more sustainable maritime operations worldwide.

Aboutthe Role

We arelooking for a seasoned Sr. Solution Architect who combines the rigor of Enterprisesystem design with deep expertise in AI Platforms and Agentic AI .In this hybrid role, you will define the architectural vision for our coresystems while leading the design of next-generation autonomous agentframeworks. You will bridge the gap between traditional software architecture(scalability, security, reliability) and the probabilistic nature of LargeLanguage Models (LLMs).

KeyResponsibilities

EnterpriseSystem Architecture

• System Design: Design robust, scalable, and secure end-to-end architectures for complex distributed systems, ensuring high availability and fault tolerance.
• Integration Strategy: Define patterns for integrating AI capabilities into existing enterprise workflows, legacy systems, and microservices architectures.
• Technical Governance: Establish architectural standards, code quality guidelines across engineering teams.
• Stakeholder Management: Translate business requirements into technical specifications and communicate architectural decisions to C-level executives and product leaders.

AIPlatform Agentic AI

• Agentic Frameworks: Architect Multi-Agent Systems where specialized agents (Planning, Execution, Research) collaborate to solve complex workflows.
• LLM Orchestration: Design the inference layer for managing multiple LLM providers (OpenAI, Anthropic, Gemini, local models), implementing fallback strategies, caching, and cost optimization.
• Memory Context: Architect advanced context management systems, including Vector Databases (RAG) and shared memory structures for long-running agent sessions.
• Tooling Ecosystem: Design secure protocols for agents to interface with external tools (File systems, Browsers, APIs) via standards like Model Context Protocol (MCP) .

RequiredQualifications

CoreArchitecture Skills

• Experience: 10+ years in software engineering with 5+ years as a Solution Architect.
• Cloud Native: Expert knowledge of cloud platforms (AWS, Azure, or GCP), containerization (Kubernetes/Docker), and serverless patterns.
• Backend Engineering: Deep proficiency in TypeScript/Node.js or Python , with strong experience in API design (REST, GraphQL, WebSockets).
• Data Architecture: Experience designing complex data models using both Relational (PostgreSQL, SQLite) and NoSQL databases.

AIAgentic Skills

• Agentic AI: Proven understanding of agent architectures (ReAct, Plan-and-Solve), tool calling, and multi-agent orchestration patterns.
• AI Infrastructure: Experience building or architecting platforms that leverage LLMs , Embeddings , and Vector Stores (Pinecone, Weaviate, Milvus).
• MLOps: Familiarity with the lifecycle of deploying and monitoring AI models in production.

PreferredQualifications

• Experience with Tauri or Electron for cross-platform desktop agent deployment.
• Hands-on experience with LangChain , AutoGPT , or custom agent frameworks.
• Knowledge of local-first architectures and embedded databases (SQLite).
• Certifications: AWS Certified Solutions Architect (Professional) or similar.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.