Enterprise AI Architect

Description Leidos is seeking an Enterprise Data Architect to join the Air Traffic Business Area within the Homeland Sector, supporting the development of the Leidos Common Autom…

• 5 days ago

AI Architect| Exp 10 or moreMust Have| Strong understanding of AIML concepts supervisedunsupervised learning| deep learning| NLP| computer vision| LLMsExperience with ML frameworks TensorFlow| PyTorch| Scikit-learnHands-on experience with MLOps tools and practicesStrong data engineering knowledge (ETL| data lakes| streaming)API design and microservices architectureProficiency in Python or similar languagesCloud Architecture| Expertise in AzureExperience designing distributed and scalable systemsKnowledge of containers and orchestration (Docker| Kubernetes)||Roles Responsibilities||Design end-to-end AIML solutions aligned with business objectivesDefine AI system architectures including data pipelines| model lifecycle| APIs| and deployment strategiesEvaluate and select appropriate AIML models| frameworks| and platformsEnsure scalability| performance| security| and reliability of AI systemsCollaborate with data scientists to operationalize models (MLOps)Guide teams on model training| validation| deployment| monitoring| and retrainingDesign data architectures for structured and unstructured dataEstablish best practices for AI governance| explainability| and bias mitigation Essential Skills: AI Architect| Exp 10 or moreMust Have| Strong understanding of AIML concepts supervisedunsupervised learning| deep learning| NLP| computer vision| LLMsExperience with ML frameworks TensorFlow| PyTorch| Scikit-learnHands-on experience with MLOps tools and practicesStrong data engineering knowledge (ETL| data lakes| streaming)API design and microservices architectureProficiency in Python or similar languagesCloud Architecture| Expertise in AzureExperience designing distributed and scalable systemsKnowledge of containers and orchestration (Docker| Kubernetes)||Roles Responsibilities||Design end-to-end AIML solutions aligned with business objectivesDefine AI system architectures including data pipelines| model lifecycle| APIs| and deployment strategiesEvaluate and select appropriate AIML models| frameworks| and platformsEnsure scalability| performance| security| and reliability of AI systemsCollaborate with data scientists to operationalize models (MLOps)Guide teams on model training| validation| deployment| monitoring| and retrainingDesign data architectures for structured and unstructured dataEstablish best practices for AI governance| explainability| and bias mitigation Desirable Skills: Google Cloud Architect Keyword: ~Google Cloud Architect~ Skills: Digital : Google Cloud~AI and Automation~AI Agents~AI & Gen AI - Products & Tools Experience Required: 8-10

• $131,300-237,350 per year