Technical Consultant-AI integration
IBM · Posted Oct 5
Hybrid cloud, artificial intelligence, enterprise software, quantum computing, and IT consulting services
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About the role
IBM Consulting helps leading companies across industries shape their hybrid cloud and AI journeys, working with strategic partners, IBM technology, and Red Hat. As a Technical Consultant specializing in AI Integration, you will implement, configure, and customize AI-driven solutions that integrate into enterprise applications and workflows, translating solution designs and architectural blueprints into working systems. The role focuses on secure, efficient, and compliant deployment of AI services, APIs, and orchestration layers.
What you will do
- Implement AI Solutions: Develop connectors, build Retrieval-Augmented Generation (RAG) pipelines, and configure prompts and guardrails to integrate AI services into enterprise applications and workflows.
- Collaborate with Stakeholders: Work closely with architects, data engineers, and business stakeholders to validate requirements, deliver proofs of concept, and harden solutions for production.
- Optimize Performance: Implement observability, performance tuning, and cost optimization measures to ensure reliable and scalable AI solutions.
- Ensure Compliance: Deploy AI services, APIs, and orchestration layers in compliance with organizational and regulatory standards.
- Deliver Solutions: Translate solution designs and architectural blueprints into working systems, focusing on reliability, scalability, and responsible AI principles throughout the delivery lifecycle.
Skills used in this role
What the employer is looking for
- Exposure to API Integration: Hands-on experience with integrating AI services and APIs into enterprise applications and workflows, including developing connectors and configuring prompts and guardrails.
- Experience with Workflow Automation: Familiarity with workflow automation and event-driven patterns, including building Retrieval-Augmented Generation (RAG) pipelines and implementing orchestration layers.
- LLMOps Practices: Exposure to LLMOps practices, including implementing observability, performance tuning, and cost optimization measures to ensure reliable and scalable AI solutions.
- Secure Deployment: Experience with deploying AI services, APIs, and orchestration layers in compliance with organizational and regulatory standards, ensuring secure and efficient deployment.
- AI Solution Development: Experience working with AI solution designs and architectural blueprints, translating them into working systems that integrate seamlessly into enterprise applications and workflows.
- Workflow Automation Expertise: Familiarity with workflow automation and event-driven patterns, including building Retrieval-Augmented Generation (RAG) pipelines and implementing orchestration layers, is beneficial for this role.
- LLMOps Practices Knowledge: Exposure to LLMOps practices, including implementing observability, performance tuning, and cost optimization measures, is advantageous for ensuring reliable and scalable AI solutions.
- Secure Deployment Experience: Experience with deploying AI services, APIs, and orchestration layers in compliance with organizational and regulatory standards is desirable, ensuring secure and efficient deployment.
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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