[Remote] Lead AI Engineer 0226

Note: The job is a remote job and is open to candidates in USA. Nexus IT Group is seeking a Lead AI Engineer to design and launch a scalable enterprise artificial intelligence platform in a major public cloud environment. The role involves leading the development and deployment of AI models, establishing responsible AI practices, and mentoring engineers and data scientists across multiple teams.

Responsibilities

• Design and launch a scalable enterprise artificial intelligence platform in a major public cloud environment supporting both generative and predictive models
• Establish standards for prompt orchestration, knowledge-grounded response pipelines, and full lifecycle management of machine learning systems
• Build a multi-layered data architecture that connects operational and transactional systems into a unified intelligence environment
• Align AI initiatives with enterprise cloud, security, and governance strategies in partnership with architecture leadership
• Research and adopt emerging AI platform capabilities and determine business value and scalability
• Lead development and tuning of large language models, deep learning models, and domain-adapted AI solutions using managed services and custom frameworks
• Own end-to-end model lifecycle: training → validation → deployment → monitoring → retraining
• Implement knowledge-grounded AI workflows using vector search and semantic retrieval technologies
• Ensure highly available model hosting, version control, and scalable inference orchestration
• Architect ingestion pipelines that process structured and unstructured content including documents, images, voice, and communications
• Build AI-driven automation for classification, summarization, and information extraction across large document sets
• Optimize performance and cost using event-driven and serverless patterns
• Implement continuous integration and delivery for machine learning systems
• Standardize environment provisioning across development, test, and production environments using infrastructure-as-code
• Integrate monitoring, observability, and auditability across all AI services
• Enable containerized model deployment strategies
• Establish responsible AI practices including explainability, bias detection, and safe response generation
• Implement safeguards to reduce incorrect or unsafe AI outputs
• Ensure adherence to data protection regulations and enterprise security requirements
• Partner with security, legal, and compliance teams to operationalize governance controls
• Lead and mentor engineers and data scientists across multiple teams
• Partner with business leaders to identify and prioritize high-impact AI use cases
• Build reusable frameworks, internal standards, and knowledge-sharing programs
• Promote experimentation and responsible adoption of AI technologies across the organization

Skills

• Degree in Computer Science, Artificial Intelligence, Data Engineering, or related discipline
• ~12+ years in software or data engineering
• ~8+ years building and deploying AI/ML systems
• Strong hands-on experience building AI platforms in a cloud environment
• Deep experience with Python and modern ML frameworks
• Experience designing knowledge-grounded generative AI solutions using vector retrieval
• Expertise in ML lifecycle automation, deployment pipelines, and monitoring
• Experience operating in regulated or high-compliance environments
• Demonstrated leadership mentoring technical teams
• Ability to communicate complex technical topics to non-technical stakeholders
• Advanced degree preferred

Company Overview