{"schemaVersion":"jobsearcher.job.v1","id":"291de91be0d141d3fd82e884","url":"https://jobsearcher.com/jobs/291de91be0d141d3fd82e884","canonicalUrl":"https://jobsearcher.com/jobs/291de91be0d141d3fd82e884","title":"Lead Consultant | Analytics - Packages | Python - Big Data","description":"Company Description: IMCS Group is one of the fastest growing MWBE (Minority Woman Owned Enterprise) staffing firms in the U.S. We focus on bringing a Diversity Recruitment approach to Fortune 500 companies within North America and EMEA region contingent labor programs. IMCS Group excels in providing top talent in IT, Healthcare, Engineering, Finance, Light Industrial, Contact Center, and Clerical. We have offices in the US, Canada, Mexico, and India in which we can provide support to our clients.Description: Job Title: Lead Consultant | Analytics - Packages | Python - Big DataWork Location: New YorkNY10004Vendor Rate: ***Contract duration: 12Target Start Date: 28 Sep 2026Does this position require Visa independent candidates only? Yes** Hybrid (3 days in a week from client office)**Job Details:Must Have SkillsGen AI, AI/ML, RAG, LangChain, Python, Spark, SnowflakeNice to have skillsAzureDetailed Job DescriptionDesign and develop scalable AI-powered data platforms and agentic AI solutions that enable autonomous decision-making, intelligent workflow orchestration, and business process automation.Build and maintain data engineering pipelines using Python, Spark, Databricks, Snowflake, SQL, and cloud-native technologies to support AI/ML, GenAI, and analytics workloads.Architect and implement multi-agent AI systems with capabilities such as goal decomposition, task planning, reasoning, memory management, self-reflection, tool utilization, and autonomous execution.Develop and optimize Retrieval-Augmented Generation (RAG) solutions, including document ingestion, chunking, embedding generation, vector database integration, retrieval optimization, and response grounding.Integrate AI agents with enterprise systems, APIs, databases, knowledge repositories, CI/CD pipelines, and event-driven architectures to create end-to-end intelligent automation frameworks.Design and implement data governance, security, guardrails, monitoring, and compliance controls to ensure responsible AI adoption and protection of enterprise data assets.Build reusable AI engineering components using modern frameworks such as LangChain, LangGraph, Semantic Kernel, MCP-based architectures, and agent orchestration platforms.Evaluate and improve AI system performance through prompt engineering, agent testing frameworks, model benchmarking, retrieval accuracy analysis, latency optimization, and continuous feedback loops.Collaborate with architects, data scientists, application teams, and business stakeholders to translate complex business requirements into scalable AI-driven data solutions and production-ready platforms.Provide technical leadership and mentorship by driving AI engineering best practices, conducting architecture reviews, developing reusable accelerators, and enabling engineering teams to leverage AI-assisted software development and agentic SDLC methodologies.Skills:Python, PySpark, SQL, Databricks, SnowflakeGenAI, Agentic AI, MCP Architecture, RAGLangChain, LangGraph, Semantic KernelMinimum years of experience>10 yearsCertifications Needed :NoTop 3 responsibilities you would expect the Subcon to shoulder and executeCodingTestingDeploymentInterview Process (Is face to face required?): As per client preferenceAny additional information you would like to share about the project specs/ nature of workCustom Fields:Name: Intake Call RequestedValue: trueName: Intake Call CompletedValue: falseEEOC Disclaimer: IMCS Group is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. IMCS Group is committed to maintaining an inclusive workforce, where employees are hired, retained, compensated, and promoted based on their contributions to our Company.","company":"IMCS Group","rawCompany":"imcs group","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-10-16T14:07:42.921Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Consultant | Analytics - Packages | Python - Big Data","description":"Company Description: IMCS Group is one of the fastest growing MWBE (Minority Woman Owned Enterprise) staffing firms in the U.S. We focus on bringing a Diversity Recruitment approach to Fortune 500 companies within North America and EMEA region contingent labor programs. IMCS Group excels in providing top talent in IT, Healthcare, Engineering, Finance, Light Industrial, Contact Center, and Clerical. We have offices in the US, Canada, Mexico, and India in which we can provide support to our clients.Description: Job Title: Lead Consultant | Analytics - Packages | Python - Big DataWork Location: New YorkNY10004Vendor Rate: ***Contract duration: 12Target Start Date: 28 Sep 2026Does this position require Visa independent candidates only? Yes** Hybrid (3 days in a week from client office)**Job Details:Must Have SkillsGen AI, AI/ML, RAG, LangChain, Python, Spark, SnowflakeNice to have skillsAzureDetailed Job DescriptionDesign and develop scalable AI-powered data platforms and agentic AI solutions that enable autonomous decision-making, intelligent workflow orchestration, and business process automation.Build and maintain data engineering pipelines using Python, Spark, Databricks, Snowflake, SQL, and cloud-native technologies to support AI/ML, GenAI, and analytics workloads.Architect and implement multi-agent AI systems with capabilities such as goal decomposition, task planning, reasoning, memory management, self-reflection, tool utilization, and autonomous execution.Develop and optimize Retrieval-Augmented Generation (RAG) solutions, including document ingestion, chunking, embedding generation, vector database integration, retrieval optimization, and response grounding.Integrate AI agents with enterprise systems, APIs, databases, knowledge repositories, CI/CD pipelines, and event-driven architectures to create end-to-end intelligent automation frameworks.Design and implement data governance, security, guardrails, monitoring, and compliance controls to ensure responsible AI adoption and protection of enterprise data assets.Build reusable AI engineering components using modern frameworks such as LangChain, LangGraph, Semantic Kernel, MCP-based architectures, and agent orchestration platforms.Evaluate and improve AI system performance through prompt engineering, agent testing frameworks, model benchmarking, retrieval accuracy analysis, latency optimization, and continuous feedback loops.Collaborate with architects, data scientists, application teams, and business stakeholders to translate complex business requirements into scalable AI-driven data solutions and production-ready platforms.Provide technical leadership and mentorship by driving AI engineering best practices, conducting architecture reviews, developing reusable accelerators, and enabling engineering teams to leverage AI-assisted software development and agentic SDLC methodologies.Skills:Python, PySpark, SQL, Databricks, SnowflakeGenAI, Agentic AI, MCP Architecture, RAGLangChain, LangGraph, Semantic KernelMinimum years of experience>10 yearsCertifications Needed :NoTop 3 responsibilities you would expect the Subcon to shoulder and executeCodingTestingDeploymentInterview Process (Is face to face required?): As per client preferenceAny additional information you would like to share about the project specs/ nature of workCustom Fields:Name: Intake Call RequestedValue: trueName: Intake Call CompletedValue: falseEEOC Disclaimer: IMCS Group is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. 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