W3Global
GenAI Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GenAI Architect with 15+ years in Data/AI/ML Engineering. Contract length is unspecified, offering a competitive pay rate. Key skills include Azure Data & AI stack, GCP, AWS, and expertise in ML projects and Explainable AI. Remote work location.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
880
-
🗓️ - Date
February 7, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
California
-
🧠 - Skills detailed
#Microsoft Power BI #Databases #AI (Artificial Intelligence) #Compliance #NLP (Natural Language Processing) #GCP (Google Cloud Platform) #Synapse #Deployment #Python #ML (Machine Learning) #PySpark #Security #Azure #Scala #AWS (Amazon Web Services) #Databricks #Langchain #Deep Learning #Spark (Apache Spark) #BI (Business Intelligence) #Forecasting #GDPR (General Data Protection Regulation)
Role description
Must:
15+ years in Data/AI/ML Engineering or 15+ years with Master's
Deep experience in Azure Data & AI stack + working knowledge of GCP & AWS
Responsibilities
Architect Agentic AI solutions using Azure OpenAI, LangChain, LangGraph & multi-agent frameworks
Build RAG pipelines, vector DB integrations & autonomous workflow orchestration
Design and lead ML project lifecycles - data prep, modeling, training, evaluation, deployment & MLOps
Govern full SDLC for Data, ML, and GenAI platforms
Implement XAI/Explainable AI (SHAP, LIME, fairness, transparency models)
Architect and deploy solutions across Azure, GCP, AWS
Drive RFP/RFI solutioning, technical proposals, estimations & client workshops
Ensure strong security, compliance, governance (GDPR, CCPA, PII)
Produce robust architecture blueprints, ML design docs, and runbooks
Engage with customer IT and business leaders to understand pain points, priorities, success measures, and risks.
Design secure, scalable data and AI solutions to deliver measurable business value.
Lead architecture design sessions, develop data/AI and analytics roadmaps to drive PoCs and MVPs.
Accelerate adoption and ensure long-term technical viability.
Maintain deep understanding of evolving AI capabilities, competitive insights, and market trends.
Demonstrate a growth mindset by continuously aligning your skills to team and customer needs,
Contribute to technical communities and mentor others to accelerate customer outcomes.
Skill & Experience
15+ years in Data/AI/ML Engineering or 15+ years with Master's
Deep experience in Azure Data & AI stack + working knowledge of GCP & AWS
Hands-on with:
o ML projects (supervised/unsupervised, forecasting, NLP, deep learning)
o ML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn
o LangChain, LangGraph, Agentic AI systems
o LLMs, embeddings, vector databases, RAG/GraphRAG
o CI/CD, MLOps/LLMOps, SDLC
o Explainable AI (XAI)
Strong exposure to Synapse, Fabric, Data Factory, Databricks, Power BI
Proven experience contributing to RFP/RFI responses and client solutioning
#INDCAN
Must:
15+ years in Data/AI/ML Engineering or 15+ years with Master's
Deep experience in Azure Data & AI stack + working knowledge of GCP & AWS
Responsibilities
Architect Agentic AI solutions using Azure OpenAI, LangChain, LangGraph & multi-agent frameworks
Build RAG pipelines, vector DB integrations & autonomous workflow orchestration
Design and lead ML project lifecycles - data prep, modeling, training, evaluation, deployment & MLOps
Govern full SDLC for Data, ML, and GenAI platforms
Implement XAI/Explainable AI (SHAP, LIME, fairness, transparency models)
Architect and deploy solutions across Azure, GCP, AWS
Drive RFP/RFI solutioning, technical proposals, estimations & client workshops
Ensure strong security, compliance, governance (GDPR, CCPA, PII)
Produce robust architecture blueprints, ML design docs, and runbooks
Engage with customer IT and business leaders to understand pain points, priorities, success measures, and risks.
Design secure, scalable data and AI solutions to deliver measurable business value.
Lead architecture design sessions, develop data/AI and analytics roadmaps to drive PoCs and MVPs.
Accelerate adoption and ensure long-term technical viability.
Maintain deep understanding of evolving AI capabilities, competitive insights, and market trends.
Demonstrate a growth mindset by continuously aligning your skills to team and customer needs,
Contribute to technical communities and mentor others to accelerate customer outcomes.
Skill & Experience
15+ years in Data/AI/ML Engineering or 15+ years with Master's
Deep experience in Azure Data & AI stack + working knowledge of GCP & AWS
Hands-on with:
o ML projects (supervised/unsupervised, forecasting, NLP, deep learning)
o ML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn
o LangChain, LangGraph, Agentic AI systems
o LLMs, embeddings, vector databases, RAG/GraphRAG
o CI/CD, MLOps/LLMOps, SDLC
o Explainable AI (XAI)
Strong exposure to Synapse, Fabric, Data Factory, Databricks, Power BI
Proven experience contributing to RFP/RFI responses and client solutioning
#INDCAN
