Application Architect-AI Integration
IBM · Posted Nov 5
Hybrid cloud, artificial intelligence, enterprise software, quantum computing, and IT consulting services
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About the role
IBM Consulting works with leading companies across industries to shape their hybrid cloud and AI journeys, supported by IBM technology, strategic partners, and Red Hat. The Application Architect for AI Integration designs and governs end-to-end architectures that embed AI capabilities into enterprise applications and workflows, defining reference patterns for AI services, models, and orchestration layers. The role collaborates with stakeholders to translate business objectives into scalable, policy-compliant designs while driving governance for prompts, guardrails, and responsible AI.
What you will do
- Designing Architectures: defining reference patterns for AI services, models, and orchestration layers to integrate seamlessly with existing systems, APIs, and data platforms.
- Collaborating with Stakeholders: translating business objectives into scalable, resilient, and policy-compliant designs, ensuring performance, security, compliance, and cost objectives are met.
- Governing AI Integration: driving governance for prompts, guardrails, and lifecycle management, ensuring observability, privacy, and responsible AI principles are embedded from design through operations.
Skills used in this role
What the employer is looking for
- AI Architecture Design: Experience with designing end-to-end architectures that embed AI capabilities into enterprise applications and workflows, ensuring seamless integration with existing systems, APIs, and data platforms.
- Technical Governance: Experience with driving governance for prompts, guardrails, and lifecycle management, ensuring observability, privacy, and responsible AI principles are embedded from design through operations.
- Reference Pattern Development: Experience with defining reference patterns for AI services, models, and orchestration layers, including Retrieval-Augmented Generation (RAG) and hybrid reasoning.
- Stakeholder Collaboration: Experience with collaborating with stakeholders to translate business objectives into scalable, resilient, and policy-compliant designs, balancing vendor-managed services with custom development.
- AI Service Integration: Experience with integrating AI services, models, and orchestration layers with existing systems, APIs, and data platforms, meeting performance, security, compliance, and cost objectives.
- Advanced AI Concepts: Experience with emerging AI technologies and trends, such as explainable AI and edge AI, can be beneficial.
- Cloud Native Services: Knowledge of cloud-native services and serverless architectures can be advantageous in designing scalable AI integrations.
- Data Platform Integration: Familiarity with integrating AI services with various data platforms and APIs can be useful.
Benefits and support
- Compensation and benefits are detailed in the job posting
About IBM
International Business Machines Corporation (IBM) is a global technology and consulting company that provides hybrid cloud, artificial intelligence, and enterprise infrastructure solutions. Operating in over 175 countries, IBM helps businesses across industries modernize operations, secure data, and drive digital transformation through platforms like watsonx and Red Hat OpenShift. Founded over a century ago, the company remains a pioneer in high-performance computing, enterprise automation, and quantum technology.
- Industry
- Information Technology
- Company size
- 260,000+ employees
- Founded
- June 16, 1911
- Location
- Armonk, New York, USA
- Funding stage
- Public Company
Funding
Public Company · $3.5B raised
- ·Post Ipo Debt$150M
Leadership
Chairman, President and Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President, Software and Chief Commercial Officer
Senior Vice President, IBM Consulting
Senior Vice President, Marketing and Communications
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