Hybrid Cloud AI Transformation Architect

IBM Computing

Los Angeles (CA)

Hybrid

USD 150,000 - 210,000

Full time

14 days+

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Job summary

IBM Consulting is seeking an experienced AI Transformation Architect to lead enterprise AI strategy and governance across client engagements. You will define roadmaps, design scalable AI solutions, and drive adoption with cross‑functional teams spanning business, product, and engineering.

The role emphasizes responsible AI, security, and measurable business outcomes. You will partner with executives to translate business challenges into AI-enabled architectures, piloting concepts and guiding

Qualifications

8+ years of experience in enterprise architecture, solution architecture, software engineering, technology consulting, or related fields.
Experience with Agentic AI and Multi-Agent Systems.
Experience with Generative AI and LLM applications.
Experience with Retrieval Augmented Generation (RAG).

Responsibilities

Partner with executive stakeholders, business leaders, and technology teams to define AI transformation strategies and roadmaps.
Identify opportunities to improve business processes through AI, automation, and intelligent agents.
Design scalable, secure, and production-ready AI solutions aligned to business objectives.
Lead cross-functional teams through discovery, architecture, implementation, and adoption phases.
Drive measurable value realization through AI-powered business transformation.
Establish governance, security, and responsible AI practices across engagements.
Serve as a trusted advisor to clients on AI strategy, operating model transformation, and enterprise adoption.
Assess client business challenges and identify opportunities for AI-driven innovation.
Facilitate executive workshops, solution envisioning sessions, and transformation planning activities.
Define business outcomes, KPIs, value realization frameworks, and transformation roadmaps.
Design AI-native operating models that combine human and digital workers.
Develop AI reference architectures and reusable solution patterns.
Guide clients from initial AI pilots through enterprise-scale deployment and adoption.
Coach stakeholders and delivery teams on AI best practices and governance standards.
Collaborate closely with client executives, product owners, business process leaders, and engineering teams.
Translate business requirements into scalable AI and enterprise architecture solutions.
Architect end-to-end solutions leveraging:
Agentic AI & Multi-Agent Systems
Retrieval Augmented Generation (RAG)
Knowledge Management Platforms
Intelligent Workflow Automation
Conversational AI & Digital Assistants
AI-Powered Business Process Transformation
Define integration architectures connecting enterprise applications, data platforms, APIs, and AI services.
Establish AI governance frameworks, security controls, human-in-the-loop processes, and operational guardrails.
Present technical and business solutions to both executive and technical audiences.
Build and validate proof-of-concepts (POCs), prototypes, and minimum viable products (MVPs).
Provide hands‑on leadership during solution implementation and deployment.
Partner with engineering teams to solve complex technical challenges and integration issues.
Define architecture standards, reusable accelerators, and implementation best practices.
Implement monitoring, observability, evaluation, and governance mechanisms for AI systems.
Ensure solutions are scalable, secure, compliant, and production-ready.
Measure business outcomes and continuously optimize AI solutions for adoption and value realization.