Senior Data & AI Architect

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    "description_html": "<strong>Job Brief:</strong><br>VentureDive is seeking a <strong>Senior Data & AI Architect</strong> to lead the design and delivery of scalable, secure, and high-performance data and AI ecosystems across cloud and hybrid environments. You will translate complex business requirements into robust architecture strategies — from data pipelines to production-grade intelligent systems powering analytics, automation, and innovation across VentureDive's portfolio and client engagements.<br><br><strong>VentureDive Overview:</strong><br>Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world.<br><br><strong>Key Responsibilities<br>Architecture & AI/ML</strong><ul><li>Design end-to-end Data & AI solutions across cloud, on-premises, and hybrid environments.</li><li>Build data ingestion, transformation, and storage pipelines for all data types.</li><li>Architect data lakehouse, data mesh, and event-driven systems aligned to scale requirements.</li><li>Design AI/ML pipelines: feature engineering, training, deployment, monitoring, and retraining.</li><li>Architect Agentic AI applications — RAG pipelines, tool-using agents, and LLM orchestration workflows.</li><li>Integrate Generative AI, NLP, and computer vision services into enterprise applications.</li></ul><strong>Platform, Governance & Leadership</strong><ul><li>Leverage platforms such as Databricks, Snowflake, BigQuery, Synapse, Vertex AI, and SageMaker.</li><li>Establish MLOps and DataOps practices for continuous delivery and monitoring of models.</li><li>Implement data governance, model governance, and Responsible AI frameworks.</li><li>Define Data & AI strategy, architecture blueprints, and technology roadmaps with stakeholders.</li><li>Mentor engineers and data scientists on best practices in architecture and cloud-native design.</li><li>Evaluate and recommend emerging AI and LLM technologies for enterprise use cases.</li></ul><br><strong>Required Experience & Qualifications</strong><ul><li>10+ years in data engineering, data architecture, or AI solution design; 3+ years in a senior/principal architect role.</li><li>Hands-on experience across the modern data stack: Pipelines: Apache Spark, Airflow, dbt, Kafka, Flink</li><li>Storage: Snowflake, Delta Lake, BigQuery, Redshift, Synapse</li><li>AI/ML: TensorFlow, PyTorch, scikit-learn, MLflow, Azure ML, SageMaker, Vertex AI</li><li>Proven track record deploying ML models at scale — batch, streaming, and real-time.</li><li>Deep understanding of data lakehouse and data mesh architectures in enterprise contexts.</li><li>Experience with governance, lineage, access control, and security frameworks for data and AI.</li><li>Exceptional communication skills; able to convey complex architecture to engineering, product, and executive audiences.</li></ul><br><strong>Preferred Skills</strong><ul><li>Generative AI, LLMs, vector databases, and RAG architectures (LangChain, LlamaIndex, or similar).</li><li>MLOps tooling: MLflow, Kubeflow, Vertex Pipelines, or Azure ML Pipelines.</li><li>DataOps and CI/CD practices for data and AI workflows.</li><li>BI/visualization tool integration: Power BI, Tableau, or Looker.</li><li>Real-time AI: anomaly detection, predictive maintenance, forecasting, or conversational AI.</li><li>Experience leading enterprise data modernization or AI transformation programs.</li><li>Compliance frameworks: GDPR, ISO 27001, NIST AI RMF, or sector-specific standards.<br> </li></ul>What we look for beyond required skills<br>In order to thrive at VentureDive, you<br>…are intellectually smart and curious<br>…have the passion for and take pride in your work<br>…deeply believe in VentureDive’s mission, vision, and values<br>…have a no-frills attitude<br>…are a collaborative team player<br>…are ethical and honest<br><br>Are you ready to put your ideas into products and solutions that will be used by millions?<br>You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball!<br>#LI-Hybrid",
    "description_text": "Job Brief:\nVentureDive is seeking a Senior Data & AI Architect to lead the design and delivery of scalable, secure, and high-performance data and AI ecosystems across cloud and hybrid environments. You will translate complex business requirements into robust architecture strategies — from data pipelines to production-grade intelligent systems powering analytics, automation, and innovation across VentureDive's portfolio and client engagements.\n VentureDive Overview:\nFounded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world.\n Key Responsibilities\nArchitecture & AI/ML Design end-to-end Data & AI solutions across cloud, on-premises, and hybrid environments.\n Build data ingestion, transformation, and storage pipelines for all data types.\n Architect data lakehouse, data mesh, and event-driven systems aligned to scale requirements.\n Design AI/ML pipelines: feature engineering, training, deployment, monitoring, and retraining.\n Architect Agentic AI applications — RAG pipelines, tool-using agents, and LLM orchestration workflows.\n Integrate Generative AI, NLP, and computer vision services into enterprise applications.\n Platform, Governance & Leadership Leverage platforms such as Databricks, Snowflake, BigQuery, Synapse, Vertex AI, and SageMaker.\n Establish MLOps and DataOps practices for continuous delivery and monitoring of models.\n Implement data governance, model governance, and Responsible AI frameworks.\n Define Data & AI strategy, architecture blueprints, and technology roadmaps with stakeholders.\n Mentor engineers and data scientists on best practices in architecture and cloud-native design.\n Evaluate and recommend emerging AI and LLM technologies for enterprise use cases.\n Required Experience & Qualifications 10+ years in data engineering, data architecture, or AI solution design; 3+ years in a senior/principal architect role.\n Hands-on experience across the modern data stack: Pipelines: Apache Spark, Airflow, dbt, Kafka, Flink\n Storage: Snowflake, Delta Lake, BigQuery, Redshift, Synapse\n AI/ML: TensorFlow, PyTorch, scikit-learn, MLflow, Azure ML, SageMaker, Vertex AI\n Proven track record deploying ML models at scale — batch, streaming, and real-time.\n Deep understanding of data lakehouse and data mesh architectures in enterprise contexts.\n Experience with governance, lineage, access control, and security frameworks for data and AI.\n Exceptional communication skills; able to convey complex architecture to engineering, product, and executive audiences.\n Preferred Skills Generative AI, LLMs, vector databases, and RAG architectures (LangChain, LlamaIndex, or similar).\n MLOps tooling: MLflow, Kubeflow, Vertex Pipelines, or Azure ML Pipelines.\n DataOps and CI/CD practices for data and AI workflows.\n BI/visualization tool integration: Power BI, Tableau, or Looker.\n Real-time AI: anomaly detection, predictive maintenance, forecasting, or conversational AI.\n Experience leading enterprise data modernization or AI transformation programs.\n Compliance frameworks: GDPR, ISO 27001, NIST AI RMF, or sector-specific standards.\n What we look for beyond required skills\nIn order to thrive at VentureDive, you\n…are intellectually smart and curious\n…have the passion for and take pride in your work\n…deeply believe in VentureDive’s mission, vision, and values\n…have a no-frills attitude\n…are a collaborative team player\n…are ethical and honest\nAre you ready to put your ideas into products and solutions that will be used by millions?\nYou will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball!\n#LI-Hybrid",
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      "description": "<strong>Job Brief:</strong><br>VentureDive is seeking a <strong>Senior Data & AI Architect</strong> to lead the design and delivery of scalable, secure, and high-performance data and AI ecosystems across cloud and hybrid environments. You will translate complex business requirements into robust architecture strategies — from data pipelines to production-grade intelligent systems powering analytics, automation, and innovation across VentureDive's portfolio and client engagements.<br><br><strong>VentureDive Overview:</strong><br>Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world.<br><br><strong>Key Responsibilities<br>Architecture & AI/ML</strong><ul><li>Design end-to-end Data & AI solutions across cloud, on-premises, and hybrid environments.</li><li>Build data ingestion, transformation, and storage pipelines for all data types.</li><li>Architect data lakehouse, data mesh, and event-driven systems aligned to scale requirements.</li><li>Design AI/ML pipelines: feature engineering, training, deployment, monitoring, and retraining.</li><li>Architect Agentic AI applications — RAG pipelines, tool-using agents, and LLM orchestration workflows.</li><li>Integrate Generative AI, NLP, and computer vision services into enterprise applications.</li></ul><strong>Platform, Governance & Leadership</strong><ul><li>Leverage platforms such as Databricks, Snowflake, BigQuery, Synapse, Vertex AI, and SageMaker.</li><li>Establish MLOps and DataOps practices for continuous delivery and monitoring of models.</li><li>Implement data governance, model governance, and Responsible AI frameworks.</li><li>Define Data & AI strategy, architecture blueprints, and technology roadmaps with stakeholders.</li><li>Mentor engineers and data scientists on best practices in architecture and cloud-native design.</li><li>Evaluate and recommend emerging AI and LLM technologies for enterprise use cases.</li></ul><br><strong>Required Experience & Qualifications</strong><ul><li>10+ years in data engineering, data architecture, or AI solution design; 3+ years in a senior/principal architect role.</li><li>Hands-on experience across the modern data stack: Pipelines: Apache Spark, Airflow, dbt, Kafka, Flink</li><li>Storage: Snowflake, Delta Lake, BigQuery, Redshift, Synapse</li><li>AI/ML: TensorFlow, PyTorch, scikit-learn, MLflow, Azure ML, SageMaker, Vertex AI</li><li>Proven track record deploying ML models at scale — batch, streaming, and real-time.</li><li>Deep understanding of data lakehouse and data mesh architectures in enterprise contexts.</li><li>Experience with governance, lineage, access control, and security frameworks for data and AI.</li><li>Exceptional communication skills; able to convey complex architecture to engineering, product, and executive audiences.</li></ul><br><strong>Preferred Skills</strong><ul><li>Generative AI, LLMs, vector databases, and RAG architectures (LangChain, LlamaIndex, or similar).</li><li>MLOps tooling: MLflow, Kubeflow, Vertex Pipelines, or Azure ML Pipelines.</li><li>DataOps and CI/CD practices for data and AI workflows.</li><li>BI/visualization tool integration: Power BI, Tableau, or Looker.</li><li>Real-time AI: anomaly detection, predictive maintenance, forecasting, or conversational AI.</li><li>Experience leading enterprise data modernization or AI transformation programs.</li><li>Compliance frameworks: GDPR, ISO 27001, NIST AI RMF, or sector-specific standards.<br> </li></ul>What we look for beyond required skills<br>In order to thrive at VentureDive, you<br>…are intellectually smart and curious<br>…have the passion for and take pride in your work<br>…deeply believe in VentureDive’s mission, vision, and values<br>…have a no-frills attitude<br>…are a collaborative team player<br>…are ethical and honest<br><br>Are you ready to put your ideas into products and solutions that will be used by millions?<br>You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball!<br>#LI-Hybrid",
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