Experience: 15+ Years Location: Trivandrum Employment Type: Full-Time Job Summary We are seeking a highly experienced GenAI Solution Architect to lead the design, development, and deployment of enterprise-scale AI Agent ecosystems. The ideal candidate will have deep expertise in multi-agent architectures, Generative AI frameworks, cloud-native solutions, and enterprise integrations. This role will be responsible for architecting intelligent agent-based solutions that enhance software engineering, testing, automation, and operational processes while ensuring security, governance, scalability, and cost optimization. Key Responsibilities Multi-Agent Architecture & GenAI Solutions • Design and implement scalable multi-agent systems using frameworks such as LangChain, CrewAI, AutoGen, or similar agentic AI platforms. • Define architecture patterns for: • Agent orchestration • Memory management • Tool integration • Agent collaboration and delegation • Human-in-the-loop workflows • Build and deploy GenAI-powered agents for: • Requirement validation and automated correction • Test strategy and test scenario generation • Automation script generation and self-healing frameworks • Synthetic data generation • Performance planning and optimization Enterprise Integration • Integrate AI agents with enterprise applications, workflow tools, and development ecosystems. • Enable seamless connectivity with: • CI/CD pipelines • DevOps platforms • ITSM tools • Observability and monitoring dashboards • Enterprise APIs and microservices Security, Governance & Compliance • Implement robust AI governance frameworks and responsible AI practices. • Design and enforce: • Role-Based Access Control (RBAC) • Audit logging and traceability • Data privacy and security controls • AI guardrails and compliance mechanisms • Ensure alignment with enterprise security and regulatory requirements. Performance & Cost Optimization • Optimize GenAI workloads for: • Token consumption reduction • Latency improvement • Cost efficiency • Scalability and performance • Implement advanced techniques such as: • Prompt engineering • Response caching • Context optimization • Model selection and routing strategies Technical Leadership • Define GenAI architecture standards, best practices, and reusable frameworks. • Mentor architects, engineers, and product teams on: • Agentic AI design patterns • Prompt engineering • GenAI solution development • AI governance best practices • Drive innovation and evaluate emerging AI technologies and frameworks. Required Skills & Qualifications Experience • 15+ years of overall IT experience with strong expertise in solution architecture and enterprise application development. • Proven experience designing and deploying enterprise-grade GenAI and AI Agent solutions. Technical Skills • Hands-on experience with: • LangChain • CrewAI • Agentic AI frameworks • LLM integration and orchestration • Strong programming expertise in: • Python • TypeScript/JavaScript • Experience with REST APIs, SDKs, and third-party integrations. Cloud & Platform Expertise • Strong understanding of cloud-native architectures. • Hands-on experience with: • AWS, Azure, or GCP • Docker • Kubernetes • Microservices architecture • Serverless technologies Data & AI Technologies • Experience working with: • Vector databases such as Pinecone, PGVector, Weaviate, or ChromaDB • Retrieval-Augmented Generation (RAG) • Hybrid RAG architectures • Embedding models and knowledge retrieval systems Security & Governance • Deep understanding of: • RBAC models • Enterprise security frameworks • Authentication and authorization mechanisms • Compliance and governance standards Preferred Qualifications • Experience in AI-driven Software Development Lifecycle (SDLC) transformation. • Exposure to MLOps, LLMOps, and AI observability platforms. • Relevant cloud certifications (AWS Solutions Architect, Azure Architect, GCP Professional Architect). • Experience implementing Responsible AI frameworks and governance models. • Strong stakeholder management and executive communication skills. Key Competencies • Strategic Thinking • Enterprise Architecture • AI Solution Design • Innovation & Problem Solving • Technical Leadership • Stakeholder Management • Mentoring & Coaching • Cost and Performance Optimization Experience Required: 15+ Years Role Level: Principal Architect / Senior Solution Architect Domain: Generative AI, Agentic AI, Enterprise Architecture, Cloud-Native Platforms, Intelligent Automation.