Job Closed
This listing is no longer active.
The leading provider of enterprise open source solutions.
AI Platform Solution Architect
Location
Colombia
Posted
115 days ago
Salary
0
Seniority
Senior
Job Description
AI Platform Solution Architect
Red Hat
• Work with the customer Account Executive, Sales Specialist, and Solution Architect to identify challenges and blockers to drive Red Hat AI within new and existing customer accounts • Plan, design, and execute AI systems with customers having the ability to architect and build data pipelines, ML pipelines, and ML training and serving approaches leveraging additional support and resources from Red Hat as required • Facilitate pre, and post-sales activities when needed, including technical deep dives, proofs of concept, “bake-offs,” internal sprints and hackathons, and development of partner vertical-specific AI solutions to drive adoption of Red Hat AI • Identify and partner with AI customer stakeholders, acting as an advocate within both their line-of-business and internal customer teams • Work closely with the AI business unit and engineering teams, providing a market feedback loop on the product and solutions • Execute community outreach and customer advocacy activities including conference speaking, blog posts, etc
Job Requirements
- SME with 4+ years of hands-on experience in one of the following areas: Machine Learning Use Case Development, including building AI applications (e.g., deep learning, LLM/RAG, NLP, computer vision, or pattern recognition).
- Practical experience with a statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
- Machine Learning Operations design, including previous successful experience in AI systems design, with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
- Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with Infrastructure as Code (IaC) solutions (e.g. Ansible).
- Experience delivering technical presentations and leading business value sessions.
- Executive presence with public speaking skills.
Benefits
- Health insurance
- Flexible work arrangements
Related Guides
Related Categories
Related Job Pages
More Solutions Engineer Jobs
Solution Engineer
SailPointSailPoint, founded in 2005, offers identity management solutions that provide clients with total visibility into their organizations. By linking applications, d
• Develop a tailored on-boarding plan highlighting your experience and focusing on development • Work with our team of account executives to develop and progress sales opportunities • Responsible for the opportunity from a technical perspective focusing on a consultative approach • Join an initial call to discover and refine challenges which a prospective customer is facing • Provide platform demonstrations across all levels of stakeholders from CxO to SME • Answer technical questions, for example responding to RFPs and pre-sales queries • Provide strategic guidance on implementing identity programmes • Collaborate with the SE team and participate in regular team calls
• Leads solution design for highly visible ERP corporate transformation initiatives, ensuring high-quality, integrated software solutions within the constraints of time and budget • Design, create, improve, and maintain Oracle Fusion Cloud ERP platform while applying the necessary best practices and logic • Deliver technology plans, roadmaps, guidance, and the associated governance that is required to enable technology changes to be effective • Provide enterprise leadership and guidance for ERP and back-office data management, data modelling, master data management, data governance, transformations, enrichment, data integrations, and data pipelines • Communicate ERP and back-office data architecture and process vision, technical strategies, and trade-offs across various levels in the organization • Develop ERP and back-office data architecture blueprints, patterns, roadmaps, and frameworks that enable adoption, reuse, and standardization • Collaborate with data leaders and stakeholders, such as Enterprise Business Intelligence and Product teams, to ensure alignment of data strategy and governance • Work with Business stakeholders, Analysts, Developers, and Project Managers through project initiation and delivery
Consulting Field Solutions Architect, Analytics & AI – DACH
Pure StorageHelping innovators uncomplicate data storage, forever.
• Creating field facing solutions content (Technical Walkthroughs, Deep Dives, Demos, Qualification Guides) for specific solutions around Analytics & AI. • Mainstreaming solution area and other enablement projects to equip the field for Analytics & AI opportunities. • Conducting webinars/events presentations with partners, capable of inspiring the field. • Participating in customer engagements like calls, demos, and internal strategy sessions. • Staying updated on internal product offerings and formalizing enablement plan. • Participating in solutions roadmap discussions and engaging in daily conversations about feedback from the field. • Oversight in field testing for documentation and knowledge sharing. • Providing post-sales assists/troubleshooting with expert-level knowledge around solutions. • Partnering with sales leaders for two-way feedback and communication.
• Design cloud-native AI and data solution architectures, including reference patterns, data flows, AI/ML workflows, and LLM orchestration that balance scalability, security, cost, and speed to value. • Translate AI and data architectures into clear diagrams, executive-ready narratives, visuals, and roadmaps for technical and non-technical stakeholders. • Advise clients on AI strategy, build-vs-buy decisions, governance, and ethical considerations. • Integrate and orchestrate data across multiple platforms, including cloud data warehouses and lakes (e.g., Snowflake, BigQuery, Databricks) and external APIs • Collaborate with ML Engineers and Data Engineers to validate architectural alignment and integration feasibility. • Conduct architecture reviews and risk assessments; identify and execute course corrections as needed. • Architect AI solutions that leverage LLMs and RAG patterns to deliver interpretable insights and human-readable outputs from complex model results. • Mentor junior architects and consultants; contribute to reusable accelerators, templates, and an internal knowledge base. • Provide technical oversight across multiple client engagements, ensuring architectural consistency, delivery quality, and alignment between business requirements and implemented solutions. • Provide hands-on guidance to engineering and data teams on API integrations, data pipelines, and AI service connectivity, ensuring solutions are scalable, secure, and maintainable. • Stay current on emerging AI platforms, LLM tooling, and cloud-based data services, continuously evaluating how they can enhance our integration capabilities.



