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 ofLarge Language Models (LLMs) from  multiple providers including deployment viaAzure OpenAI Service, Amazon Bedrock orVertex AI. 

• Implementretrieval-augmented generation (RAG) architectures and managevector databases  

Data Platform & Engineering Excellence 

• Lead the evolution of the enterprise data estate, leveraging modern data platforms such asDatabricks,Snowflake,Azure Synapse, AWS Glue/Redshift andBigQuery. 

• Oversee data engineering usingApache Airflow,dbt, andPrefect, 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 acrossAzure,AWS, andGCP. 

• Lead enterprise MLOps initiatives usingAzure ML,SageMaker,Vertex AI,MLflow, andKubeflow 

Intelligent Automation & Cognitive Services 

• Drive end-to-end intelligent automation usingPower Automate,Blue Prism, andAutomation Anywhere. 

• Integratecognitive services includingAzure Cognitive Services,AWS Comprehend,Form Recognizer, andSpeech/Translation APIs to augment digital workflows. 

• Lead enterpriseprocess mining andoptimization initiatives viaCelonis,Power BI Process Mining, andProcessGold. 

Security, Compliance & Responsible AI 

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

• Overseeidentity and access management throughAzure AD,OAuth2,OpenID Connect, and integration with enterprise IAM systems. 

• Champion ethical AI, bias detection, and explainability throughAzure 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. 

Preferred Background

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

• Proven record integratingPython-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