Openkyber
SAP AI Business Services Consultant
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "SAP AI Business Services Consultant" on a long-term contract in Minneapolis, MN, offering competitive pay. Key skills include Generative AI, MLOps, and healthcare experience. Certifications in AI governance and production-grade systems are required.
🌎 - Country
United States
💱 - Currency
Unknown
-
💰 - Day rate
Unknown
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🗓️ - Date
March 26, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Alaska
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🧠 - Skills detailed
#Data Science #Databases #Leadership #GCP (Google Cloud Platform) #Security #GitHub #MLflow #Azure #Scala #Compliance #Monitoring #Cloud #Automation #Deployment #TensorFlow #Metadata #Prometheus #"ETL (Extract #Transform #Load)" #Observability #AI (Artificial Intelligence) #Code Reviews #Grafana #PyTorch #Data Privacy #Data Extraction #ML (Machine Learning) #Data Security #Python #SAP #AWS (Amazon Web Services) #Langchain
Role description
Job Details Title: AI /ML Lead
Location: Minneapolis, MN
Duration: Long term Contract
Summary : We are looking for a Senior AI/ML Lead /Architect to lead the design and delivery of enterprise-grade AI solutions with a strong focus on Generative AI in healthcare. This role requires deep expertise in RAG systems, Agentic AI, MLOps, and AI governance, along with hands-on experience building production-ready AI platforms.
Key Responsibilities:
- AI Project Delivery Lead end-to-end execution of AI/ML & GenAI projects Translate business requirements into scalable AI architectures Work closely with stakeholders and engineering teams for successful delivery
- GenAI & Solution Architecture Design and implement RAG-based systems and LLM applications Build HIPAA-compliant AI solutions for healthcare use cases Develop systems for: Claims processing automation Medical document / metadata extraction Intelligent recommendation systems
- AI Governance & Compliance Drive AI governance and Responsible AI practices Support AI review processes and ensure compliance (HIPAA, data privacy) Implement ethical and secure AI frameworks
- Team Leadership Lead and mentor AI/ML Engineers & Data Scientists Conduct architecture reviews, code reviews, and technical discussions
- MLOps & Engineering Build and manage ML/LLM pipelines and CI/CD workflows Implement model monitoring, drift detection, and observability Ensure best practices in versioning, deployment, and scalability
Required Skills:
- Core AI/ML & GenAI Strong experience in Generative AI (LLMs, RAG, Agentic AI)
- Hands-on with Vector Databases (Pinecone, FAISS, Milvus, Weaviate)
- Experience building production-grade AI systems
- LLM Engineering Experience with: Embeddings & retrieval systems Prompt engineering frameworks (LangChain, PromptFlow) Multi-agent systems (CrewAI / LangGraph)
- MLOps / LLMOps CI/CD pipelines (GitHub Actions or similar) Monitoring tools (MLflow, LangSmith, Prometheus, Grafana) Model lifecycle management & drift detection
Technical Stack
- Python TensorFlow / PyTorch / scikit-learn
- Cloud: AWS / Azure / Google Cloud Platform
Healthcare Experience (Must Have)
- Experience working with: Claims processing / clinical data / EHR
- HIPAA compliance, PHI handling, data security
Qualifications: Architect-level professional with end-to-end AI system ownership Hands-on experience building real-world GenAI solutions Strong in both architecture + execution
For applications and inquiries, contact: hirings@openkyber.com
Job Details Title: AI /ML Lead
Location: Minneapolis, MN
Duration: Long term Contract
Summary : We are looking for a Senior AI/ML Lead /Architect to lead the design and delivery of enterprise-grade AI solutions with a strong focus on Generative AI in healthcare. This role requires deep expertise in RAG systems, Agentic AI, MLOps, and AI governance, along with hands-on experience building production-ready AI platforms.
Key Responsibilities:
- AI Project Delivery Lead end-to-end execution of AI/ML & GenAI projects Translate business requirements into scalable AI architectures Work closely with stakeholders and engineering teams for successful delivery
- GenAI & Solution Architecture Design and implement RAG-based systems and LLM applications Build HIPAA-compliant AI solutions for healthcare use cases Develop systems for: Claims processing automation Medical document / metadata extraction Intelligent recommendation systems
- AI Governance & Compliance Drive AI governance and Responsible AI practices Support AI review processes and ensure compliance (HIPAA, data privacy) Implement ethical and secure AI frameworks
- Team Leadership Lead and mentor AI/ML Engineers & Data Scientists Conduct architecture reviews, code reviews, and technical discussions
- MLOps & Engineering Build and manage ML/LLM pipelines and CI/CD workflows Implement model monitoring, drift detection, and observability Ensure best practices in versioning, deployment, and scalability
Required Skills:
- Core AI/ML & GenAI Strong experience in Generative AI (LLMs, RAG, Agentic AI)
- Hands-on with Vector Databases (Pinecone, FAISS, Milvus, Weaviate)
- Experience building production-grade AI systems
- LLM Engineering Experience with: Embeddings & retrieval systems Prompt engineering frameworks (LangChain, PromptFlow) Multi-agent systems (CrewAI / LangGraph)
- MLOps / LLMOps CI/CD pipelines (GitHub Actions or similar) Monitoring tools (MLflow, LangSmith, Prometheus, Grafana) Model lifecycle management & drift detection
Technical Stack
- Python TensorFlow / PyTorch / scikit-learn
- Cloud: AWS / Azure / Google Cloud Platform
Healthcare Experience (Must Have)
- Experience working with: Claims processing / clinical data / EHR
- HIPAA compliance, PHI handling, data security
Qualifications: Architect-level professional with end-to-end AI system ownership Hands-on experience building real-world GenAI solutions Strong in both architecture + execution
For applications and inquiries, contact: hirings@openkyber.com
