ETIC, AI Architect - Director level

PricewaterhouseCoopers

Key Leadership Responsibilities

Strategic Vision & Governance

• Define the global AI & Intelligent Automation strategy, ensuring alignment with enterprise digital transformation and innovation objectives.

• Establish technical governance frameworks for AI ethics, model transparency, and Responsible AI implementationServe as the senior executive sponsor for AI architecture, operating model, and adoption roadmap.

• Experience delivering solutions leveraging
• Experience delivering intelligent, agentic solutions leveraging frameworks such as Semantic Kernel, LangGraph, CrewAI, LangChain, AutoGen and LlamaIndex, with a strong focus on orchestration, multi-agent collaboration, and scalable AI-driven architectures.

• Drive responsible integration of Large Language Models (LLMs) from multiple providers including deployment via Azure OpenAI Service, Amazon Bedrock or Vertex AI.

• Implement retrieval-augmented generation (RAG) architectures and manage vector databases

Data Platform & Engineering Excellence

• Lead the evolution of the enterprise data estate, leveraging modern data platforms such as Databricks, Snowflake, Azure Synapse, AWS Glue/Redshift and BigQuery.

• Oversee data engineering using Apache Airflow, dbt, and Prefect, ensuring data pipelines are performant, governed, and aligned with enterprise metadata standards (Collibra, Alation, Microsoft Purview).
• Ensure high-quality, compliant data foundations for machine learning and analytics workloads.

Cloud, Infrastructure & MLOps

• Champion multi-cloud architecture and engineering excellence across Azure, AWS, and GCP.

• Lead enterprise MLOps initiatives using Azure ML, SageMaker, Vertex AI, MLflow, and Kubeflow

Intelligent Automation & Cognitive Services

• Drive end-to-end intelligent automation using Power Automate, Blue Prism, and Automation Anywhere.

• Integrate cognitive services including Azure Cognitive Services, AWS Comprehend, Form Recognizer, and Speech/Translation APIs to augment digital workflows.

• Lead enterprise process mining and optimization initiatives via Celonis, Power BI Process Mining, and ProcessGold.

Security, Compliance & Responsible AI

• Ensure alignment with enterprise security standards and frameworks (SOC2, ISO27001, NIST).

• Oversee identity and access management through Azure AD, OAuth2, OpenID Connect, and integration with enterprise IAM systems.

• Champion ethical AI, bias detection, and explainability through Azure Responsible AI Dashboard and equivalent frameworks.

Leadership, Talent & Innovation

• Build and lead high-performing global teams in data science, engineering, and automation disciplines.

• Cultivate a culture of innovation, continuous learning, and responsible experimentation.

• Engage with the external AI ecosystem academic institutions, hyperscalers, and startups to identify strategic partnerships and emerging opportunities.