ETIC, AI Architect Director level

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

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 ecosystemacademic institutions hyperscalers and startupsto identify strategic partnerships and emerging opportunities.

Preferred Background

• Scaled demonationable experince of delivery or consulting leadership with significant experience delivering enterprise AI data and automation transformations.

• Proven record integrating Python-based AI with .NET enterprise systems.

• Deep expertise across multi-cloud environments data governance and enterprise DevSecOps.

• Demonstrated ability to deliver large-scale transformation programs and measurable ROI.

• Strong executive presence communication and client/stakeholder management skills.

Minimum years experience required

Additional application instructions

Education (if blank degree and/or field of study not specified)

Certifications (if blank certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date