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Systems Integration Advisor

India, Noida · Job Posted July 04, 2026
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Job Description

The AI/ML Senior Developer/Team Lead will design, develop, and validate AI/ML solutions for US Healthcare customers. The role requires at least 5 years of hands-on programming experience, with a strong foundation in Python and SQL. The candidate will work closely with AI product managers and business stakeholders to understand the potential and limitations of AI in product planning. Responsibilities include building data transformation platforms, training models, and deploying solutions to production. A Bachelor’s degree in Computer Science is required, with a Master’s preferred.

Job Responsibility

  • 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

Requirements

  • 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

Nice to have

  • 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

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