Principal AI Transformation Architect

About the role

The Principal AI Transformation Architect converts strategic business opportunities into scalable, secure AI solutions for TP and its clients. This senior individual contributor role blends strategic vision, enterprise architecture, and hands‑on technical execution across the full AI lifecycle.

Key responsibilities

• Own end‑to‑end solution integrity from opportunity identification through scaling and operation.
• Lead virtual, cross‑functional teams to design, prototype, and industrialize AI, GenAI, and intelligent automation initiatives.
• Define transformation roadmaps, business cases, ROI, and success metrics.
• Design architectures that integrate AI/ML, LLMs, vector databases, APIs, core systems, and human‑in‑the‑loop mechanisms.
• Build or review PoCs, reference integrations, RAG pipelines, and agent workflows.
• Establish production‑readiness criteria, monitoring, fallback, and continuous model improvement processes.
• Embed Responsible AI principles, security, privacy, and compliance safeguards.

Required profile

• 10+ years in technology, architecture, or digital transformation.
• 5+ years designing enterprise solutions or leading complex solution architecture.
• 3+ years applied AI/ML/GenAI experience with production deployments.
• Client‑facing experience leading workshops, executive presentations, and solution decisions.
• Bachelor’s degree in a relevant field; advanced degree or MBA is a plus.

Required skills

• AI/GenAI: LLMs/SLMs, prompt engineering, RAG, embeddings, vector databases, agentic workflows, tool orchestration, evaluation, guardrails.
• Architecture: APIs, microservices, event‑driven, enterprise integration, IAM, multi‑cloud, resilience, observability, high availability.
• Cloud platforms: AWS, Microsoft Azure, Google Cloud.
• Data engineering: data platforms, pipelines, lakehouse, data quality, metadata, feature stores, structured/unstructured data.
• MLOps/Industrialization practices.