Cohere North Platform Engineer SME​/Remote

Consultant-(Cohere North Platform Engineer SME)

Role Name:
Consultant-(Cohere North Platform Engineer SME)

Location:

Onsite or Remote-Based Delivery with ability to travel Duration:
Project Duration or potentially six-to-twelve (6-12) months based on demand pipeline

Skill

Summary:

Cohere North Platform Engineer SME

As a consultant aligned to Client's, you will participate in customer-facing engagements implementing Cohere North on Dell AI Factory. Your responsibilities will directly support the RROM-defined objectives:

• Deploying and operationalizing the foundational Cohere North platform on Dell AI Factory in the customer's environment.
• Supporting Agentic AI orchestration.
• Conducting workshops to identify implementation requirements and validate customer needs and use cases for Cohere North.
• Deploying the Cohere Platform Deployment on Dell AI Factory leveraging the automation framework, including:
• Chat interface
• Conversational speech
• RQA
• Administrative configuration
• You will be partnering with Dell consultants to ensure successful delivery, enablement, and customer readiness for Cohere North deployments.

· 3+ years of experience implementing and supporting infrastructure deployment, setup and configuration through automation.

· 1+ years of experience configuring, managing, and administering Cohere North Platform.

· Experience in Large Language Models and Generative AI solutions, with a focus on AI development agents.

· Ability to collaborate with Customer SMEs to lead the requirement gathering, use case definition, prioritization, and model identification.

· Ability to translate business specifications to documentation.

· Understanding of data related concepts and technologies, including data models, metadata, data dictionaries, and sequences.

· Experience configuring SSO, DNS, and LDAP authentication

· Work with data science projects, workbenches, configure data connections, Deploy trained models using model serving, Create data science pipelines

· Understanding of data warehousing concepts and technologies.

· Experience with data management including data profiling, sourcing, quality, and transformation.

· Containers o Kubernetes, Docker, Tanzu, Rancher

· CI/CD Pipelines and Orchestration o Jenkins, Concourse, Service Now, Gitlab CI/CD, Tekton

· AIOps and MLOps Platforms o Cnvrg.ai, Nemo, Mlflow, Domino, Triton Inference Server, Hugging Face

· Methodology and Process o Scrum, Kanban, Lean, SRE, Git Ops

· Automation Tools o Puppet, Chef, Ansible, Terraform, Cloud Formations

· Machine and Deep Learning languages, tools, and libraries o Python, TensorRT, Pytorch, Keras, Scikit-learn, CUDA, Pandas

· No

Sql Databases o Cassandra, MongoDB, Redis, Vector Databases