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.
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• Build and implement Agentic AI systems (LLM-based autonomous agents, multi-agent frameworks, orchestration workflows) to automate complex business processes.
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• Hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
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• Experience with traditional ML (classification, regression, NLP, time-series)
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• Develop and maintain data engineering pipelines (ETL/ELT) for structured and unstructured data across enterprise systems.
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• Integrate AI models (LLMs, NLP, GenAI) into applications using tools such as Azure OpenAI, LangChain, Semantic Kernel, or similar frameworks.
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• Architect data platforms supporting real-time and batch processing using technologies like Spark, Databricks, or cloud-native services.
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• Collaborate with cross-functional teams to deliver client demos, POCs, and production-ready solutions .
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• Ensure data quality, governance, and security across all data workflows.
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• Optimize system performance, reliability, and scalability across AI and data components.
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Key Skills & Experience

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• Strong experience in software development (Python 6+ yrs) .
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• Hands-on experience with Agentic AI / autonomous agents , including:
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• Multi-agent orchestration
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• Tool usage & reasoning workflows
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• Prompt engineering and memory management
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• 2+ years experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
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• Solid background in data engineering , including:
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• Data pipelines, ETL/ELT processes
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• Data modeling and warehousing
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• Streaming and batch processing
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• Experience with cloud platforms (Azure preferred) and services like:
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• Azure Data Factory / Synapse / Databricks
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• Azure OpenAI / Cognitive Services
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• Familiarity with vector databases, embeddings, and RAG architectures .
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• Strong understanding of API design, microservices, and distributed systems .
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Preferred Qualifications

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• Degree: Bachelor's in computer science/IT or equivalent program (4 yrs)
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• Experience with GenAI frameworks (LangChain, LlamaIndex, Semantic Kernel).
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• Exposure to MLOps / LLMOps practices .
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• Experience building enterprise-grade AI copilots or automation solutions .
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• Knowledge of data governance and observability frameworks .
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What We Expect

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• Ability to operate in a fast-paced, client-facing environment .
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• Strong problem-solving and ownership mindset.
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• Capability to anticipate project needs, especially during client demos and critical delivery windows .