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AI Architect

Shrive Technologies LLC

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

Security Architect/Lead Security Engineer

Shrive Technologies LLC

West Greenwich, Rhode Island • Today

Easy Apply

Third Party, Contract

Depends on Experience

SAP ISU Billing Lead

Shrive Technologies LLC

Remote • Today

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Contract, Third Party

$80 - $85

SAP ABAP Lead

Shrive Technologies LLC

Remote • Today

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Third Party, Contract

Depends on Experience

AI/ML Engineer Healthcare Domain

Shrive Technologies LLC

Remote • Today

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Contract, Third Party

Depends on Experience

SAP BTP Track Lead (CPI integration exp is must)

Shrive Technologies LLC

Fremont, California • 3d ago

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Contract, Third Party

$80 - $80

SAP EAM Functional Lead- W2 Candidates Only

Shrive Technologies LLC

Remote • 3d ago

Easy Apply

Third Party, Contract

$95 - $107

SAP RTS Functional consultant- W2 Candidates Only

Shrive Technologies LLC

Remote • 3d ago

Easy Apply

Contract, Third Party

Depends on Experience

SAP Transportation Management / ShipERP

Shrive Technologies LLC

Remote • 3d ago

Easy Apply

Contract, Third Party

Depends on Experience

SAP PP Lead

Shrive Technologies LLC

Hybrid in Fremont, California • 4d ago

Easy Apply

Contract, Third Party

$80 - $90

Job Details

Skills

Synapse
Fabric
Copilot

Summary

Job Summary

Responsibilities

Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph & multi-agent frameworks
Build AI solutions using frameworks such as Microsoft Agent Framework – Autogen, Semantic Kernel, Copilot Studio
Well-versed with the Microsoft Agentic Framework (MAF)
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
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.
Deliver Production-ready GenAI/Agentic applications.
Fine-tuned models and reproducible experiments.
Provide Clear documentation, test coverage, and deployment pipelines.
Regular updates on project status and deliverables to stakeholders.
Drive RFP/RFI solutioning, technical proposals, estimations & client workshops

Key Responsibilities

Responsibilities

Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph & multi-agent frameworks
Build AI solutions using frameworks such as Microsoft Agent Framework – Autogen, Semantic Kernel, Copilot Studio
Well-versed with the Microsoft Agentic Framework (MAF)
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
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.
Deliver Production-ready GenAI/Agentic applications.
Fine-tuned models and reproducible experiments.
Provide Clear documentation, test coverage, and deployment pipelines.
Regular updates on project status and deliverables to stakeholders.
Drive RFP/RFI solutioning, technical proposals, estimations & client workshops

Skill Requirements

Skill & Experience

15+ years in Data/AI/ML Engineering
Strong exposure to Microsoft Azure stack including Synapse, Fabric, Foundry, Copilot Studio, Azure App Insights
Hands-on with:
- ML projects (supervised/unsupervised, forecasting, NLP, deep learning)
- ML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn
- Microsoft Foundry, Microsoft Agentic Framework
- LLMs, embeddings, vector databases, RAG/GraphRAG, prompt optimization, and safety/guardrails
- GenAI tools: MCP Server, Hugging Face Transformers, OpenAI APIs, and diffusion models (for image generation).
- CI/CD, MLOps/LLMOps, SDLC
- Explainable AI (XAI)
Cloud certifications (Microsoft Azure) is a plus

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91098872
Position Id: 6067-10115-1791828944
Posted 10 hours ago

Fitment

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Pooja Agarwal

Recruiter @ Shrive Technologies LLC

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Job Details

Skills

Synapse
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Copilot

Summary

Job Summary

Responsibilities

Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph & multi-agent frameworks
Build AI solutions using frameworks such as Microsoft Agent Framework – Autogen, Semantic Kernel, Copilot Studio
Well-versed with the Microsoft Agentic Framework (MAF)
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
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.
Deliver Production-ready GenAI/Agentic applications.
Fine-tuned models and reproducible experiments.
Provide Clear documentation, test coverage, and deployment pipelines.
Regular updates on project status and deliverables to stakeholders.
Drive RFP/RFI solutioning, technical proposals, estimations & client workshops

Key Responsibilities

Responsibilities

Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph & multi-agent frameworks
Build AI solutions using frameworks such as Microsoft Agent Framework – Autogen, Semantic Kernel, Copilot Studio
Well-versed with the Microsoft Agentic Framework (MAF)
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
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.
Deliver Production-ready GenAI/Agentic applications.
Fine-tuned models and reproducible experiments.
Provide Clear documentation, test coverage, and deployment pipelines.
Regular updates on project status and deliverables to stakeholders.
Drive RFP/RFI solutioning, technical proposals, estimations & client workshops

Skill Requirements

Skill & Experience

15+ years in Data/AI/ML Engineering
Strong exposure to Microsoft Azure stack including Synapse, Fabric, Foundry, Copilot Studio, Azure App Insights
Hands-on with:
- ML projects (supervised/unsupervised, forecasting, NLP, deep learning)
- ML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn
- Microsoft Foundry, Microsoft Agentic Framework
- LLMs, embeddings, vector databases, RAG/GraphRAG, prompt optimization, and safety/guardrails
- GenAI tools: MCP Server, Hugging Face Transformers, OpenAI APIs, and diffusion models (for image generation).
- CI/CD, MLOps/LLMOps, SDLC
- Explainable AI (XAI)
Cloud certifications (Microsoft Azure) is a plus

Dice Id: 91098872
Position Id: 6067-10115-1791828944
Posted 10 hours ago

Fitment