AI Engineering Manager
Share
Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
We are seeking an experienced AI Manager with deep expertise in Azure AI Microsoft Fabric and Machine Learning ecosystems to design and implement enterprise-grade AI solutions.
The ideal candidate combines strong technical leadership with hands-on experience architecting end-to-end AI/ML systemsfrom data readiness through model deploymentleveraging Azures cloud-native and Fabric-based services.
Key Responsibilities
- Architect and lead the design and implementation of AI/ML solutions on Azure Cloud (Azure Machine Learning Azure Databricks Synapse Azure AI Foundry Microsoft Fabric Cognitive Services Azure OpenAI etc.).
- Define end-to-end AI architecture encompassing data pipelines feature stores model training deployment and monitoring.
- Partner with stakeholders to translate business challenges into AI-driven solutions and technical blueprints.
- Design scalable and secure architectures adhering to best practices in data governance MLOps LLMOps and cost optimization.
- Integrate Microsoft Fabric as the unified data foundation for AI workloads ensuring governed high-quality data access and lineage visibility.
- Lead MLOps initiatives including model CI/CD versioning monitoring and drift detection using Azure DevOps Azure ML Pipelines and Azure AI Foundry.
- Contribute to the design building or working with event-driven architectures and relevant for asynchronous processing and system integration
- Experience developing and deploying LLM-powered features into production systems translating experimental outputs into robust services with clear APIs.
- Experience working within a standard software development lifecycle
- Evaluate and implement Generative AI (GenAI) and LLM-based solutions using Azure OpenAI Cognitive Services and frameworks such as LangChain or LangGraph.
- Establish observability and monitoring frameworks using Azure Monitor Application Insights MLflow and Databricks dashboards for AI workloads.
- Collaborate with cross-functional teamsData Engineers Data Scientists Software Engineers and DevOps to ensure seamless integration and delivery of AI products.
- Provide technical mentorship and architectural guidance to engineering teams.
Qualifications :
- 7 years of overall IT experience including 4 years in AI/ML solutioning and 3 years in Azure-based architecture.
- Deep expertise in the Azure AI ecosystemAzure Machine Learning Azure Databricks Azure AI Foundry Microsoft Fabric Azure Cognitive Services Azure OpenAI Azure Synapse and Data Lake.
- Strong proficiency in Python and major ML frameworks (PyTorch TensorFlow Scikit-learn).
- Proven experience with transformer model architectures and practical understanding of LLM specifics like context handling.
- Proven experience designing implementing and optimising prompt strategies (e.g. chaining templates dynamic inputs); practical understanding of output post-processing.
- Must have hands-on experience implementing and automating MLOps/LLMOps practices including model tracking versioning deployment monitoring (latency cost throughput reliability) logging and retraining workflows.
- Must have worked extensively with MLOps/experiment tracking and operational tools (e.g. MLflow Weights & Biases) and have a demonstrable track record.
- Proven ability to monitor evaluate and optimise AI/LLM solutions for performance (latency throughput reliability) accuracy and cost in production environments.
- Proven experience in MLOps and LLMOps design and automation using Azure DevOps Docker and Kubernetes.
- Hands-on experience integrating AI solutions with Microsoft Fabric and Azure Data Factory for data preparation and governance.
- Strong understanding of distributed systems model lifecycle management and AI system scalability.
- Experience in LLM fine-tuning prompt engineering or AI solution integration with enterprise applications.
- Excellent communication and stakeholder management skills with a strategic mindset
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Hospitality Experience
- Go
- Management Experience
- React
- Redux
- Node.js
- AWS
- Mechanical Engineering
- Team Management
- Leadership Experience
- Mentoring
- Distributed Systems
About Company
Blend360 is an award-winning provider of data, analytics, and talent solutions for Fortune 500 companies. The company has made the Inc. 5000 list of Fastest Growing Companies every year they have been in business and has been awarded a world-class ranking in client satisfaction for th ... View more
