Solution Architect – Agentic AI & Data

Job Requirements :

• AI & ML Frameworks: Familiarity with major AI/ML frameworks and services, including OpenAI GPT models, Google PaLM/Vertex AI, and Hugging Face Transformers library.

•SaaS AI & Data Platforms: Experience with leading SaaS AI & Data platforms in terms of agentic AI development, implementation, orchestration, AI guardrails 

•Agentic AI Tooling: Exposure to frameworks and libraries for building AI agents and chains, such as LangChain ,Microsoft’s Semantic Kernel.

•Retrieval Systems: Strong knowledge of search and retrieval technologies, including vector databases and semantic search.

•Cloud Services: Expertise in cloud ecosystems (AWS, Azure, Google Cloud Platform), including cloud AI services, serverless computing, containerization, and related DevOps tools.

•Programming & Scripting: Proficiency in programming languages commonly used for AI and integration, primarily Python and at least one general-purpose language.

•Data Platforms: Knowledge of modern data platforms, including relational databases, NoSQL stores, and data processing frameworks.

•Integration & APIs: Experience designing and using APIs and middleware, knowledge of event-driven architectures and message brokers.

•DevOps & MLOps: Familiar with CI/CD pipelines and infrastructure as code, understanding of MLOps principles and tools.

•Security & Compliance Tools: Comfort with technologies for securing AI applications, including identity and access management, encryption, and compliance tools.

•Collaboration & Design: Proficient with tools used in architecture and design documentation, including UML design tools and agile project management tools.

•Emerging Tech: Awareness of emerging tech such as knowledge graphs and reinforcement learning frameworks.