CloudTech Innovations
About The Role
We are seeking a seasoned
Solution Architect
with expertise in
data platforms, cloud architecture, and Generative AI (GenAI) . The ideal candidate will have a strong background in
Databricks
and modern data platforms, while also bringing hands-on experience with
LLMs, Hugging Face, LangChain, and vector databases . You will collaborate with cross-functional teams to define technical roadmaps, architect high-performing
data + AI solutions , and drive innovation across analytics and enterprise AI platforms. Job Description
Job Title:
Solution Architect Location:
Remote Employment Type:
Contract Responsibilities
Architect and lead implementation of cloud-native data and AI platforms leveraging Databricks, Delta Lake, and MLflow. Design GenAI-powered solutions using LLM frameworks (Hugging Face, LangChain) and vector databases (Pinecone, FAISS, Weaviate, Milvus). Define architecture for Retrieval-Augmented Generation (RAG) pipelines and enterprise-scale chatbot/AI assistant solutions. Collaborate with data engineers, data scientists, and product stakeholders to transform business requirements into AI-driven technical solutions. Integrate Databricks notebooks, Apache Spark, and cloud-native services (AWS Glue, Azure Data Factory) for batch and real-time data processing. Implement governance and security frameworks using Unity Catalog, IAM, encryption, and compliance controls. Define integration patterns using APIs, event-driven messaging (Kafka/Pub/Sub), and distributed system design. Participate in architectural reviews, performance tuning, and cost optimization across distributed compute frameworks. Stay updated on emerging GenAI, data engineering, and MLOps technologies. Required Qualifications
Bachelors or Masters in Computer Science, Data Engineering, or related field. 10+ years of experience in enterprise software, data architecture, or AI solution design. Strong hands-on expertise with Databricks (Delta Lake, MLflow, Spark, Unity Catalog). Proficiency in at least one cloud platform (AWS, Azure, or GCP), with services like S3, ADLS, BigQuery, or Redshift. Experience building LLM and GenAI applications (chatbots, assistants, RAG pipelines). Familiarity with Hugging Face, LangChain, and vector databases (Pinecone, FAISS, Weaviate, Milvus, Chroma). Experience with streaming platforms (Kafka, Kinesis, Azure Event Hubs). Strong knowledge of data modeling, governance, and orchestration tools (Airflow, dbt, Prefect). Excellent communication skills for stakeholder management and solution evangelism. Preferred Skills
Certifications in Databricks, AWS/Azure/GCP Solution Architecture, or TOGAF. Knowledge of model lifecycle management, versioning, and MLOps practices. Familiarity with Generative AI APIs (OpenAI, Anthropic Claude, Cohere). Experience with Unity Catalog, Great Expectations, or other data quality frameworks. Background in regulated industries (finance, healthcare, insurance).
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We are seeking a seasoned
Solution Architect
with expertise in
data platforms, cloud architecture, and Generative AI (GenAI) . The ideal candidate will have a strong background in
Databricks
and modern data platforms, while also bringing hands-on experience with
LLMs, Hugging Face, LangChain, and vector databases . You will collaborate with cross-functional teams to define technical roadmaps, architect high-performing
data + AI solutions , and drive innovation across analytics and enterprise AI platforms. Job Description
Job Title:
Solution Architect Location:
Remote Employment Type:
Contract Responsibilities
Architect and lead implementation of cloud-native data and AI platforms leveraging Databricks, Delta Lake, and MLflow. Design GenAI-powered solutions using LLM frameworks (Hugging Face, LangChain) and vector databases (Pinecone, FAISS, Weaviate, Milvus). Define architecture for Retrieval-Augmented Generation (RAG) pipelines and enterprise-scale chatbot/AI assistant solutions. Collaborate with data engineers, data scientists, and product stakeholders to transform business requirements into AI-driven technical solutions. Integrate Databricks notebooks, Apache Spark, and cloud-native services (AWS Glue, Azure Data Factory) for batch and real-time data processing. Implement governance and security frameworks using Unity Catalog, IAM, encryption, and compliance controls. Define integration patterns using APIs, event-driven messaging (Kafka/Pub/Sub), and distributed system design. Participate in architectural reviews, performance tuning, and cost optimization across distributed compute frameworks. Stay updated on emerging GenAI, data engineering, and MLOps technologies. Required Qualifications
Bachelors or Masters in Computer Science, Data Engineering, or related field. 10+ years of experience in enterprise software, data architecture, or AI solution design. Strong hands-on expertise with Databricks (Delta Lake, MLflow, Spark, Unity Catalog). Proficiency in at least one cloud platform (AWS, Azure, or GCP), with services like S3, ADLS, BigQuery, or Redshift. Experience building LLM and GenAI applications (chatbots, assistants, RAG pipelines). Familiarity with Hugging Face, LangChain, and vector databases (Pinecone, FAISS, Weaviate, Milvus, Chroma). Experience with streaming platforms (Kafka, Kinesis, Azure Event Hubs). Strong knowledge of data modeling, governance, and orchestration tools (Airflow, dbt, Prefect). Excellent communication skills for stakeholder management and solution evangelism. Preferred Skills
Certifications in Databricks, AWS/Azure/GCP Solution Architecture, or TOGAF. Knowledge of model lifecycle management, versioning, and MLOps practices. Familiarity with Generative AI APIs (OpenAI, Anthropic Claude, Cohere). Experience with Unity Catalog, Great Expectations, or other data quality frameworks. Background in regulated industries (finance, healthcare, insurance).
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