You will be responsible for designing the end-to-end architecture for Agentic AI systems, Chatbots, and Voice-enabled solutions, ensuring they are seamlessly integrated into our application ecosystem.

The ideal candidate understands that an AI solution is only as good as its integration, security, and scalability.

You will define the infrastructure prerequisites, oversee API-driven microservices, and lead the alignment between Data Engineering and Application development teams.

Key Responsibilities :

- AI Integration Architecture : Design and implement architectures for integrating LLMs (Large Language Models), Agentic AI workflows, and specialized Data Science models into web and mobile applications.

- Voice & NLP Solutions : Architect solutions involving Speech-to-Text (STT), Text-to-Speech (TTS), and Natural Language Understanding (NLU) for interactive user experiences.

- Infrastructure Design : Define the infrastructure prerequisites (GPU/CPU requirements, Vector Databases like Pinecone/Weaviate, and Scalable Storage) needed to support AI workloads.

- Microservices & APIs : Build and oversee API-first architectures to ensure modularity and high availability using REST, GraphQL.

- AI/ML Integration : Hands-on experience with LangChain, AutoGPT, or CrewAI for building autonomous agents.

- Data Security & Privacy : Implement robust security frameworks for AI, including PII masking, data encryption at rest/transit, and ensuring compliance with global data residency laws.

- Cross-Functional Alignment : Act as the "glue" between Data Engineering (data pipelines/feature stores) and Application teams (frontend/backend) to ensure a cohesive end-to-end flow.

- Technical Pre-requisites : Conduct feasibility studies and define technical requirements (latency thresholds, throughput, and token management) before project kickoff.

Technical Stack :

- Expertise in one of the programming languages like .Net or python with React and NodeJS, JavaScript

- Hands-on experience with LangChain, AutoGPT, or CrewAI for building autonomous agents.

- Cloud Platforms : Deep knowledge of Azure AI Services (OpenAI, Speech Service)

- Hands-on experience in Azure for application/model deployment like azure appservice, or AKS.

- Strong understanding of CICD using Github action.

Job Type : Payroll

Categories :

- AI Solution Architect (Others)

- Cloud Solution Architect (Others)

- Enterprise Architect (Others)

- Solution Architect (Others)

- Technical Architect (Others)

Must have Skills :

- Azure - 4 Years Intermediate

- Python - 8 Years Intermediate

- Langchain - 4 Years Intermediate

- .Net - 8 Years Intermediate

- React - 8 Years Intermediate

- Node.Js - 7 Years Intermediate

- JavaScript - 7 Years Intermediate

- AutoGPT - 3 Years Intermediate

- CrewAI - 3 Years Intermediate

- Azure AI services - 3 Years Intermediate

- Agentic-AI - 3 Years Intermediate

- Voice & NLP Solutions - 4 Years Intermediate

- Microservices - 3 Years Intermediate

- AI/ML integration - 3 Years Intermediate