AI Architect

Role: Fulltime AI Solution Architect

Location: Onsite – Tampa, Florida

Experience: 8–15 years of overall IT experience, with at least 3–5 years focused on AI solution architecture and delivery.

H1B Transfer also workable

Mandatory Skill Tags: AI Solution Architecture, AI solution design, latest AI models, LLMs, enterprise AI architecture, cloud AI/ML platforms, data & MLOps integration

Secondary Skill Tags: responsible AI, AI governance, vector databases, RAG, semantic search, MLOps tools, cloud-native architecture, microservices, Kubernetes, agile delivery

Required Skills:

• Strong experience in AI Solution Architecture, designing and delivering enterprise-grade AI solutions.
• Proven expertise in architectural design involving AI solutions, including end-to-end solution blueprints and reference architectures.
• Hands-on knowledge of designing AI-based solutions using machine learning, deep learning, and LLM-based approaches.
• In-depth understanding of latest AI models and large language models (LLMs), including their capabilities, limitations, and suitable use cases.
• 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).
• Strong background in application integration patterns (APIs, microservices, event-driven architecture) for embedding AI into products and workflows.
• Ability to create high-quality architectural artifacts (HLDs, LLDs, sequence diagrams, data flow diagrams) and communicate them to technical and non-technical stakeholders.
• Strong stakeholder management, communication, and leadership skills to drive consensus and decision-making.