Senior Solutions Architect (AI & Agentic Systems)

Synergy Marine Group; Chennai District; Hybrid; INR 350,000 - 750,000; Full time

Job summary

Synergy Marine Group seeks a Senior Solutions Architect (AI & Agentic Systems) in Chennai, blending enterprise system design with AI platforms and agentic AI. You will define architectural vision for core systems and lead next-gen autonomous agent frameworks, bridging traditional architecture with probabilistic LLMs.

You will design robust distributed architectures, set governance standards, and manage stakeholder expectations, communicating with C-level executives and product leaders in a

Qualifications

• 10+ years in software engineering and 5+ years as a Solution Architect.
• Cloud native expertise across AWS/Azure/GCP.
• Backend engineering with TS/Node.js or Python and API design.
• Experience with relational and NoSQL data models.

Responsibilities

• Design robust, scalable end-to-end architectures for complex distributed systems.
• Define integration patterns for AI into legacy and microservices.
• Establish architectural standards and code quality guidelines.
• Communicate decisions to executives and product leaders.

Skills

10+ years software engineering

Cloud platforms (AWS/Azure/GCP)

Backend: TypeScript/Node.js or Python

APIs: REST GraphQL WebSockets

Data modelling: Relational & NoSQL

Tools

Kubernetes

Docker

LLMs platforms

Vector databases (Pinecone/Weaviate/Milvus)

Job description

Senior Solutions Architect (AI & Agentic Systems) Chennai, Tamil Nadu, India 10 - 15 Years Permanent

Job Description

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

• System Design: Design robust, scalable, andsecure end-to-end architectures for complex distributed systems, ensuringhigh availability and fault tolerance.
• Integration Strategy: Define patterns forintegrating AI capabilities into existing enterprise workflows, legacysystems, and microservices architectures.
• Technical Governance: Establish architecturalstandards, code quality guidelines across engineering teams.
• Stakeholder Management: Translate business requirements into technical specifications andcommunicate architectural decisions to C-level executives and productleaders.

AIPlatform & Agentic AI

• Agentic Frameworks: Architect Multi-AgentSystems where specialized agents (Planning, Execution, Research)collaborate to solve complex workflows.
• LLM Orchestration: Design the inference layer formanaging multiple LLM providers (OpenAI, Anthropic, Gemini, local models),implementing fallback strategies, caching, and cost optimization.
• Memory & Context: Architect advanced contextmanagement systems, including Vector Databases (RAG) and sharedmemory structures for long-running agent sessions.

RequiredQualifications

• Experience: 10+ years in softwareengineering with 5+ years as a Solution Architect.
• Cloud Native: Expert knowledge of cloudplatforms (AWS, Azure, or GCP), containerization (Kubernetes/Docker), andserverless patterns.
• Backend Engineering: Deep proficiency in TypeScript/Node.jsor Python, with strong experience in API design (REST, GraphQL,WebSockets).
• Data Architecture: Experience designing complexdata models using both Relational (PostgreSQL, SQLite) and NoSQLdatabases.

AI& Agentic Skills

• Agentic AI: Proven understanding of agentarchitectures (ReAct, Plan-and-Solve), tool calling, and multi-agentorchestration patterns.
• AI Infrastructure: Experience building orarchitecting platforms that leverage LLMs, Embeddings, and VectorStores (Pinecone, Weaviate, Milvus).
• MLOps: Familiarity with the lifecycleof deploying and monitoring AI models in production.

PreferredQualifications

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