Systems Integration Advisor

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.