Senior Consultant - AI/ML/OpenShift

Red Hat, Inc.; Singapore; Hybrid; SGD 180,000 - 260,000; Full time

Job summary

Red Hat, Inc. is seeking a Senior Consultant to lead AI/ML/OpenShift engagements in Singapore. You will promote adoption of Red Hat solutions at enterprise accounts and government bodies, shaping architecture decisions and driving successful deployments.

You will design and implement OpenShift-based AI platform architectures, deploy AI workloads, and guide multi-agent AI solutions, collaborating with cross-functional teams for scale and reliability.

Qualifications

• 10+ years in a consulting, solution architecture or technical advisory role.
• Hands-on expertise with OpenShift platform and Kubernetes across multi-cloud environments.
• Strong knowledge of MLOps, model training, deployment, monitoring and governance.

Responsibilities

• Lead and manage complex consulting engagements, ensuring customer satisfaction.
• Design and implement robust AI/ML platform architectures on OpenShift at scale.
• Mentor consultants and drive collaboration across project teams.

Skills

OpenShift

Kubernetes

MLOps

PyTorch

TensorFlow

Scikit-learn

Hugging Face

Generative AI

LLMs

RAG

LangGraph

CrewAI

AutoGen

Semantic Kernel

Tools

LangGraph

CrewAI

AutoGen

Semantic Kernel

Job description

Senior Consultant - AI/ML/OpenShiftThis website uses Required cookies to enable basic features of the website to function and to maintain and improve website safety and security. By using this website, you agree to the use of Required cookies. Please see our Privacy Statement for more information.# Careers at Red Hat## Senior Consultant - AI/ML/OpenShiftApply: Hybrid: Singapore: Full time: Posted Today: R-060238**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 stakeholders.* Experience contributing to open-source AI/ML communities or projects is highly desirable.* Experience with enterprise AI platforms such as Red Hat AI, Red Hat OpenShift AI, NVIDIA AI Enterprise, Kubeflow, MLflow, KServe, or equivalent technologies is highly desirable.