Description

You will design end-to-end AI architectures and transformation roadmaps for enterprise-scale automation and intelligence.

Responsibilities

• Lead C-suite workshops to capture business objectives, automation pain points, and AI ambitions.
• Define end-to-end architectures covering data, application, integration, security, and governance layers.
• Establish reference patterns for LLM orchestration, RAG pipelines, agent-based automation, and event-driven microservices.
• Design AI/Automation Centers of Excellence, policy guardrails, and federated governance models.
• Oversee rapid proofs of value to validate technology choices and demonstrate impact within 90 days.

Required Skills

• 15+ years in enterprise or solution architecture.
• 8+ years leading AI, automation, or digital transformation programs in a consulting environment.
• Hands-on architecture experience with GenAI, LLM fine-tuning/RAG, MLOps, and RPA.
• Fluency across AWS (SageMaker, Bedrock), Azure (OpenAI, ML), and GCP (Vertex AI, Duet) native AI services.
• Experience with event streaming, API-first integration, and DevSecOps best practices.
• Proficiency in TOGAF 9/10, Zachman, SAFe, ITIL 4, or COBIT frameworks.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Master’s degree or MBA.
• Professional certifications in TOGAF, AWS/Azure/GCP Architect, PMP, or Certified RPA Architect.

Key Skills

Education

Bachelor’s in Computer Science, Engineering