Senior Consultant - AI/ML/OpenShift

Red Hat, Inc.; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

Red Hat Consulting in Singapore seeks a Senior Consultant to promote Red Hat solutions across enterprise accounts, government bodies, and service providers. You will define requirements and deliver solutions based on Red Hat’s portfolio while coaching teams.

You will manage complex engagements and design modern platform architectures with OpenShift, Kubernetes, and AI workloads, mentoring consultants and driving customer success.

Qualifications

• 10+ years in consulting/technical advisory roles.
• Expert knowledge of Red Hat OpenShift.
• Experience managing Kubernetes across multi-cloud environments.
• Strong MLOps practices and AI platform design.
• Experience with PyTorch, TensorFlow, Scikit-learn, Hugging Face.
• Proven leadership in enterprise AI initiatives.
• Ability to lead technical workshops and engagements.
• Excellent communication and facilitation skills.

Responsibilities

• Lead and manage complex consulting engagements, overseeing delivery and client satisfaction.
• Design and implement robust solutions using OpenShift, Kubernetes, and AI platforms.
• Communicate project status with stakeholders and mentor consultants.
• Develop enterprise AI platforms with governance and security in mind.
• Support pre-sales efforts by presenting AI strategies and business value.
• Stay current with AI trends and incorporate them into customer solutions.

Tools

OpenShift

Kubernetes multi-cloud

PyTorch

TensorFlow

Scikit-learn

Hugging Face

LLMs & RAG

Vector databases

Embeddings

Knowledge graphs

LangGraph

CrewAI

AutoGen

Semantic Kernel

Model Context Protocol

Security & governance

Model serving

Experiment tracking

Model registries

Feature stores

Inference optimization

GPU infrastructure

AI accelerators

Hybrid cloud

Data pipelines

Data governance

AI leadership

Workshops

Communication

Job description

About the Job:

The Red Hat Consulting team is looking for a Senior Consultant to join our Singapore Team. In this role, you will promote the adoption of Red Hat's solutions at our key enterprise accounts, government agencies, and service provider partners. You'll define requirements and deliver solutions based on the Red Hat portfolio of solutions and services offerings. You will apply well-developed consulting, business, and process expertise in your work and coach and mentor others.

As a Senior Consultant, you will manages complex engagements, applying expert technical knowledge and building strong client relationships.

What you will do:

• Lead and manage complex consulting engagements, overseeing project delivery and ensuring customer satisfaction.
• Design and implement robust solutions using advanced problem solving as needed in collaboration with project teams, taking ownership of system architecture.
• Proactively manage and communicate project status with internal and external stakeholders.
• Mentor and develop consultants, providing guidance and fostering a collaborative team atmosphere.
• Adapt project plans and tasks in response to customer environment issues, demonstrating flexibility and problem-solving skills.
• Design and implement modern platform architectures with a strong understanding of Red Hat OpenShift, container orchestration, and automation at scale.
• Win the confidence of our customers through the successful delivery of discovery, analysis and design workshops that shape and influence the customer's architecture design decisions to align with the Red Hat solution.
• Design and implementation of Red Hat OpenShift and AI platform architecture.
• Deploying and managing AI workloads on Red Hat OpenShift container platforms.
• Designing and implementing enterprise Agentic AI solutions using multi-agent frameworks, workflow orchestration, planning, memory, tool integration, and AI agent governance.
• Understand industry practices and Red Hat's policies, procedures, and values.
• Act as a trusted advisor to technical Red Hat and customer resources.
• Support technical pre-sales efforts, workshops by bringing business context and value-first thinking.
• Demonstrate strong experience in defining best practices for platform deployment, hardening, observability, monitoring and alerting, capacity management, scalability, resiliency, and security operations.
• Contribute to Red Hat's internal methodologies, reference architectures, and shared consulting assets.
• Stay current with emerging Technologies in AI, Kubernetes, platform engineering, and open-source trends, and incorporate them into customer solutions.

What you will bring:

• 10+ years of experience working in a consulting, solution architecture, or technical advisory role.
• Hands On Experience and advanced knowledge of Red Hat OpenShift platform.
• In-depth expertise in managing multiple Kubernetes clusters across multi-cloud environments.Strong expertise in MLOps practices, including model training and fine-tuning, deployment, monitoring, governance, and lifecycle management.
• Experience with AI/ML frameworks and libraries such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, or similar technologies.
• Proven experience designing and operationalizing enterprise Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, embedding models, and knowledge graphs.
• Experience in enterprise Agentic AI solutions using multi-agent frameworks, workflow orchestration, planning, memory, tool integration, and AI agent governance.
• Hands-on experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.
• Experience implementing the Model Context Protocol (MCP) to integrate LLMs with enterprise applications, APIs, data sources, and business systems.
• Experience developing secure, scalable, and governed AI solutions with enterprise authentication, authorization, observability, guardrails, and responsible AI practices.
• Experience implementing enterprise AI platform capabilities, including model serving, experiment tracking, model registries, feature stores, and inference optimization.
• Strong knowledge of GPU infrastructure, AI accelerators, and workload scheduling technologies for high-performance AI environments.
• Experience integrating AI platforms with cloud-native services across hybrid and multi-cloud environments.
• Knowledge of data engineering principles, including data pipelines, feature engineering, data governance, and data quality for AI workloads.
• Proven leadership in AI, data, and platform modernization initiatives, with the ability to define technical strategy and deliver enterprise-scale transformations.
• Strong customer-facing skills, including the ability to lead technical workshops, present AI strategies, and advise customers on enterprise AI adoption.
• Excellent communication and facilitation skills, with the ability to engage effectively with both technical and business stake