Systems Integration Advisor in Noida, भारत

Role: AI Architect

Location: PAN India

Immediate to 30 Days  

Key Responsibilities  

• Design, develop, and deploy  scalable software solutions leveraging modern architectures and cloud platforms. 

• Build and implement  Agentic AI systems (LLM-based autonomous agents, multi-agent frameworks, orchestration workflows) to automate complex business processes. 

• Hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)   

• Experience with traditional ML (classification, regression, NLP, time-series) 

• Develop and maintain  data engineering pipelines (ETL/ELT) for structured and unstructured data across enterprise systems. 

• Integrate  AI models (LLMs, NLP, GenAI)into applications using tools such as Azure OpenAI, LangChain, Semantic Kernel, or similar frameworks. 

• Architect  data platforms supporting real-time and batch processing using technologies like Spark, Databricks, or cloud-native services. 

• Collaborate with cross-functional teams to deliver  client demos, POCs, and production-ready solutions . 

• Ensure  data quality, governance, and security across all data workflows. 
• Optimize system performance, reliability, and scalability across AI and data components. 

Key Skills & Experience  

• Strong experience in  software development (Python 6+ yrs) . 

• Hands-on experience with  Agentic AI / autonomous agents , including:

• Multi-agent orchestration 

• Tool usage & reasoning workflows 

• Prompt engineering and memory management 

• 2+ years experience with GenAI (LLMs, RAG, embeddings, prompt engineering)   

• Solid background in  data engineering , including:

• Data pipelines, ETL/ELT processes 

• Data modeling and warehousing 

• Streaming and batch processing 

• Experience with  cloud platforms (Azure preferred) and services like:

• Azure Data Factory / Synapse / Databricks 

• Azure OpenAI / Cognitive Services 

• Familiarity with  vector databases, embeddings, and RAG architectures . 

• Strong understanding of  API design, microservices, and distributed systems . 

Preferred Qualifications  

• Degree: Bachelor's in computer science/IT or equivalent program (4 yrs)

• Experience with  GenAI frameworks (LangChain, LlamaIndex, Semantic Kernel). 

• Exposure to  MLOps / LLMOps practices . 

• Experience building  enterprise-grade AI copilots or automation solutions . 

• Knowledge of  data governance and observability frameworks . 

What We Expect  

• Ability to operate in a  fast-paced, client-facing environment . 

• Strong problem-solving and ownership mindset. 

• Capability to anticipate project needs, especially during  client demos and critical delivery windows .