Tmsllc
AI Solution Architect with strong Experience GenAI & Agentic AI - Full Time Role
Tampa, FL, United States · Full-time
Sponsorship not specifiedDetected 6 days ago
Vector DatabasesAWSGCPAzureDockerKubernetesCI/CDMachine LearningDeep LearningData EngineeringLLMsRAGAgentic AIMLOpsAgileStakeholder ManagementCRMERPLeadershipCommunicationMentoring
About the role
- The architect will provide thought leadership on latest AI models and LLMs and ensure best practices, governance, and standards are adopted across AI initiatives.
Responsibilities
- Lead the architecture, design, and technical roadmap for AI and AI-native solutions aligned to Advantive's business strategy.
- Collaborate with data engineers, MLOps engineers, application developers, and product teams to ensure high-quality, production-grade AI deployments.
- This role will closely collaborate with business stakeholders, product owners, data teams, and engineering to translate business requirements into scalable, secure, and robust AI architectures.
Nice to have
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline from a recognized institution.
- All your information will be kept confidential according to EEO guidelines.
Skills
- Strong experience in AI Solution Architecture, designing and delivering enterprise-grade AI solutions.
- Hands-on knowledge of designing AI-based solutions using machine learning, deep learning, and LLM-based approaches.
- Experience with AI/ML platforms and services (e.g., Azure AI, AWS AI/ML, Google Cloud AI, or equivalent).
- Solid understanding of data architecture concepts, including data pipelines, feature stores, model deployment, and monitoring (MLOps).
- Good to Have Skills
- Experience with AI governance, model risk management, and responsible AI practices (fairness, explainability, security, and privacy).
- Familiarity with vector databases, semantic search, RAG (Retrieval-Augmented Generation), and knowledge-graph-based solutions.
- Exposure to MLOps tools and frameworks for CI/CD of ML models and LLM-based applications.
- Experience in designing multi-tenant, cloud-native architectures using containers and orchestration (Docker, Kubernetes).
- Knowledge of enterprise integration with ERP/CRM/line-of-business applications.
- Prior experience in leading AI architecture for product-based or ISV organizations.
- Experience working in agile delivery environments and collaborating with distributed teams.
This listing is sourced directly from Tmsllc's careers page and normalized into a canonical job model.