AI Solution Architect strong GenAI & Agentic AI

Job Description

Role:

AI Solution

Architect with strong Experience GenAI & Agentic AI - Full Time Role

Location:
Onsite – Tampa, Florida

Duration:
Fulltime

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

Mandatory Skill Tags:

AI Solution

Architecture,AIsolutiondesign, latestAImodels, LLMs, enterpriseAIarchitecture, cloudAI/ML platforms, data & MLOps integration

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

The OnsiteAISolution

Architect will lead the end-to-endarchitecture, design, and implementation ofAIandAI-nativesolutions for Advantive. This role will closely collaborate with business stakeholders, product owners, data teams, and engineering to translate business requirements into scalable, secure, and robustAIarchitectures. Thearchitectwill provide thought leadership on latestAImodels and LLMs and ensure best practices, governance, and standards are adopted acrossAIinitiatives.

• Lead the architecture, design, and technical roadmap forAIandAI-nativesolutions aligned to Advantive’s business strategy.
• Translate business and functional requirements into scalableAIsolutionarchitectures, covering data, model, application, and integration layers.
• Evaluate, select, and integrate latestAImodels and LLMs (including cloud and third-party services) into enterprise applications and workflows.
• Define reference architectures, patterns, standards, and reusable components forAIsolutiondelivery across the organization.
• Collaborate with data engineers, MLOps engineers, application developers, and product teams to ensure high-quality, production-gradeAIdeployments.
• Establish non-functional requirements (performance, security, reliability, observability) and ensureAIsolutions meet enterprise architecture and compliance guidelines.
• Conduct technical reviews, PoCs, and feasibility assessments for newAIuse cases and guide teams on best practices and optimization.
• Provide architectural leadership, mentoring, and guidance to project teams, driving continuous improvement and innovation inAIsolutiondelivery.

• Strong experience inAISolution
  
  Architecture, designing and delivering enterprise-gradeAIsolutions.
• Proven expertise inarchitectural design involvingAIsolutions, including end-to-endsolutionblueprints and reference architectures.
• Hands-on knowledge of designingAI-based solutions using machine learning, deep learning, and LLM-based approaches.
• In-depth understanding of latestAImodels and large language models (LLMs), including their capabilities, limitations, and suitable use cases.
• Experience with AI/ML platforms and services (e.g., AzureAI, AWSAI/ML, Google CloudAI, or equivalent).
• Solid understanding of dataarchitecture concepts, including data pipelines, feature stores, model deployment, and monitoring (MLOps).
• Strong background in application integration patterns (APIs, microservices, event-drivenarchitecture) for embeddingAIinto products and workflows.
• Ability to create high-qualityarchitectural 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.

• Experience with AI governance, model risk management, and responsibleAIpractices (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-nativearchitectures using containers and orchestration (Docker, Kubernetes).
• Knowledge of enterprise integration with ERP/CRM/line-of-business applications.
• Prior experience in leadingAIarchitecture for product-based or ISV organizations.
• Experience working in agile delivery environments and collaborating with distributed teams.

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.