Skills
Communication
Leadership
Python
Big Data
Apache Spark
MongoDB
Risk Management
CI/CD
DevOps
Docker
Kubernetes
Monitoring
Decision-making
Research
Data collection
Architecture
Architecture Vision
Architecture Strategy
Enterprise Architecture
Machine Learning
PyTorch
TensorFlow
Deep Learning
Computer Vision
Programming
apache
Organization
Azure
AWS
cloud platforms
Analytics
Strategic Planning
GCP
Hadoop
Spark
Large Language Models
Natural Language Processing
CI/CD Pipelines
Databricks
NLP
Job Specifications
AI Platform Architect - AI and Emerging Technology
Job Description Summary: We are seeking an innovative Architect to lead AI and Emerging Technology initiatives. In this strategic role, you will be responsible for architecting and implementing cutting-edge AI and machine learning solutions to address complex business challenges and drive operational excellence. Your leadership will guide the organization in adopting advanced AI technologies, ensuring that our solutions are scalable, efficient, and aligned with our enterprise architecture strategy.
What You'll Do:
Strategic AI Leadership: Lead the design and implementation of advanced AI architectures, including data collection, preprocessing, model development, deployment, and monitoring. Develop strategic roadmaps that align with business objectives and industry trends.
Cross-Functional Collaboration: Work closely with cross-functional teams to understand business requirements and translate them into robust AI solution designs. Provide technical guidance on AI-related tools, frameworks, and platforms.
Advanced Platform Enhancement: Enhance our AAA (Advanced Analytics and AI) platform to support enterprise-wide adoption of state-of-the-art AI technologies including machine learning (ML), generative AI (GenAI), large language models (LLM), MLOps, and LLMOps.
Technical Expertise: Design scalable and efficient AI systems leveraging cloud services such as Azure Machine Learning. Conduct code reviews to ensure adherence to best practices.
Innovation and Integration: Prototype and build advanced AI-driven solutions that integrate seamlessly with existing cloud-based and on-premises systems. Drive platform evolutions through proof-of-concepts aligned with business needs.
Collaboration with Enterprise Architects: Align AI solutions with the overall enterprise architecture strategy. Work closely with Enterprise Architects to ensure architectural cohesiveness across all domains.
Continuous Learning: Stay updated with the latest advancements in AI technologies and methodologies. Lead research and assessment of new approaches for potential use within the organization.
Leadership and Governance: Provide leadership in resolving inter-program and inter-project issues. Oversee the integration of new technologies into existing IT infrastructure. Contribute to the creation and improvement of enterprise architecture practices, processes, governance, and compliance.
Strategic Planning: Establish direction and strategic initiatives for Global Enterprise Architecture aligned with business and IT strategies. Define governance standards and policies. Create, update, and maintain architecture models, roadmaps, and strategies.
Risk Management: Lead risk and cost analysis, including build vs. buy strategies. Analyze the current IT environment to identify deficiencies and recommend improvements.
Advocacy: Promote the Enterprise Architecture vision within the IT and business community. Facilitate the creation of architecture principles to support decision-making.
What You Bring:A master's or bachelor's degree in Computer Science, Engineering, PhD, or a related field.
Certification in Azure is highly preferred. Certifications in additional cloud platforms such as GCP or AWS (Solutions Architect or Developer) is beneficial.
In-depth knowledge of AI technologies including machine learning algorithms, natural language processing (NLP), computer vision, and deep learning frameworks (e.g., TensorFlow, PyTorch).
Strong understanding of cloud services like Azure Machine Learning, GCP AI Platform.
Strong proficiency with Copilot Studio, Power Platform, AI Foundry, Munk AI
Experience with Databricks and MongoDB
Experience with big data technologies such as Apache Spark or Hadoop for processing large datasets.
Proficiency in programming languages such as Python or R for developing AI models and prototypes.
Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes, AKS.
Knowledge of DevOps practices for building CI/CD pipelines and automating deployment processes.
Excellent communication skills to effectively collaborate with stakeholders from different backgrounds.
About the Company
Tundra is a global provider of innovative staffing solutions and services. Unlike any other agency, we work as a strategic partner to the client and candidate, ever-evolving and leveraging OUR expertise to understand your needs and solve them, so you can focus on YOUR expertise.
Tundra operates with a straightforward Vision - "To be the number one representative of choice for top talent across the globe". Tundra understands and believes that simply "finding people" is not adequate. Our clients deserve the best; the right p...
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