We are looking for an experienced AI & Data Architect to join our IT Services team and work on a high-impact AI project for a global manufacturing client.
This is a senior architecture role for a professional who can bridge AI strategy, data architecture, cloud platforms, and business requirements to design and deliver scalable, secure, production-ready AI solutions.
AI Architecture & Strategy
- Partner with the AI Lead and business stakeholders to translate strategic ideas into AI architectures, technical roadmaps, and execution plans
- Evaluate incoming AI use cases and assess technical feasibility, business value, ROI, risks, and scalability
- Design end-to-end architectures for Generative AI, Agentic AI, Machine Learning, and traditional AI solutions
- Define solution architecture from PoC through production deployment
- Design enterprise solutions leveraging LLMs, RAG, Fine-Tuning, and Agentic AI frameworks
- Establish Responsible AI, security, governance, cost management, and monitoring
- Design scalable data architectures supporting AI and ML workloads
- Work with Databricks, PySpark, Delta Lake, MLflow, and Unity Catalog
- Define data pipelines, integration patterns, data quality, governance, and security
- Collaborate with Data Engineering and Data Science teams to make enterprise data AI-ready
- Design and implement AI solutions across Microsoft Azure and Databricks
- Hands-on experience with Azure OpenAI, Azure ML, Azure Functions, Azure Cosmos DB / Vector Stores
- Define cloud architecture, integration patterns, security controls, and deployment strategies
- Work with DevOps/MLOps teams on CI/CD, Docker, Kubernetes, and AI/ML monitoring
Stakeholder Management
- Act as a trusted technical advisor to business and technology stakeholders
- Communicate complex AI and data architecture concepts clearly to senior leadership
- Drive alignment across IT, Data Engineering, Security, and Business Operations
AI / GenAI
- Generative AI & LLMs
- RAG & Fine-Tuning
- Agentic AI
- LangChain / AutoGen / CrewAI / Semantic Kernel
Data & Databricks
- Databricks
- PySpark
- MLflow
- Unity Catalog
- Data Architecture & Data Engineering
DevOps / MLOps
- CI/CD
- Docker
- AI/ML monitoring and deployment
Experience & Qualifications
- 12+ years of experience across AI, Data, Data Science, Machine Learning, Data Engineering, or Solution Architecture
- Strong experience in AI & Data Architecture and enterprise solution design
- 3+ years of hands-on experience designing and deploying GenAI / Agentic AI solutions
- Strong hands-on experience with Microsoft Azure and Databricks
- Proven experience taking AI solutions from concept / PoC to production
- Excellent communication, consulting, analytical, and stakeholder-management skills
Nice to Have
- Knowledge of supply chain, predictive maintenance, quality control, or plant operations
- Experience with enterprise AI governance and Responsible AI