Sr. AI Architect (Cloud Based)

GuideWell

About The Position

We’re looking for an AI Cloud Architect to lead our journey from on-premise data centers to AWS and/or Azure and to design cloud-native AI and data platforms. You’ll define the target architecture for AI/ML, LLMs, and agent-based solutions, and ensure we integrate securely and reliably with vended platforms like Kore.ai, Salesforce, Microsoft SharePoint, Windsurf, and our core enterprise systems via Cloud. What You Will Be Doing You will be the architectural lead ensuring our move from on-premise to cloud unlocks modern AI capabilities, MCP, agents, and A2A integrations while keeping our data, systems, and customers safe. Your work will directly shape how AI is delivered and scaled across the organization. Design and execute a cloud-first AI architecture strategy on AWS/Azure, leading the migration of AI and analytics workloads from on-prem to cloud in line with business goals. Own the end-to-end solution architecture for AI/ML, LLM, and agent-based projects (MCP, agents, A2A) from concept through deployment and operations. Evaluate, recommend, and govern AI/ML platforms and technologies, defining reference architectures, patterns, and standards for integrations with Kore.ai, Salesforce, SharePoint, Windsurf, and internal systems. Collaborate with Data Science, Engineering, Security, and Product teams to design and deliver innovative, scalable AI solutions and cloud-native data/ML pipelines. Implement and enforce security, compliance, and responsible AI practices (IAM, encryption, auditability, observability) for AI workloads and agent interactions. Engage and influence stakeholders across the organization, promoting the AI architectural vision, providing guidance on architectural decisions, and mentoring teams to build cloud-native AI capabilities. Foster a culture of continuous learning and innovation, staying current on emerging trends in AI/ML, LLMs, agents, and cloud services, and feeding them into the roadmap for ongoing improvement.

Requirements

6+ years related work experience as Solutions Architect working on progressively complex IT projects spanning across domains, including multiple AI-related technologies.
Related Bachelor’s degree or additional related equivalent work experience
Establish design principles, architecture standards and best practices in alignment with IT strategy, with an emphasis in AI-related technologies.
Continuous improvement on technical and business skills
Monitors and anticipates technology trends and investigates against organizational objectives and needs. Prepares benchmarking reports and presentations
Ability to contribute and evolve IT Strategies in alignment with advancement in technologies
Conduct technical design and architect reviews
Execute peer reviews and undertakes active knowledge management
Express complex concepts clearly and concisely both orally and in writing
Provide Technology inputs into business cases
Use relevant frameworks and guidelines for various Architecture exercises
Working knowledge of modern technology stacks including user interface, services, databases, security, etc.

Nice To Haves

Working knowledge of integrating with big Data platforms Working knowledge on Analytics platforms Working knowledge on enterprise search engines
7+ years in software, data, or cloud architecture, including 3+ years on AWS and/or Azure.
Hands-on experience with cloud-native design (containers, Kubernetes, serverless), data platforms, and AI/ML services
Proven track record migrating workloads from on-prem to cloud in an enterprise environment.
Practical experience with LLM-based systems, AI agents, or orchestration frameworks, and integrating with SaaS/enterprise platforms (e.g., Salesforce, Microsoft 365/SharePoint, Kore.ai, Windsurf or similar).
Strong understanding of cloud security, IAM, networking, and compliance.
Excellent communication skills and the ability to influence and guide cross-functional teams.

Responsibilities

Design and execute a cloud-first AI architecture strategy on AWS/Azure, leading the migration of AI and analytics workloads from on-prem to cloud in line with business goals.
Own the end-to-end solution architecture for AI/ML, LLM, and agent-based projects (MCP, agents, A2A) from concept through deployment and operations.
Evaluate, recommend, and govern AI/ML platforms and technologies, defining reference architectures, patterns, and standards for integrations with Kore.ai, Salesforce, SharePoint, Windsurf, and internal systems.
Collaborate with Data Science, Engineering, Security, and Product teams to design and deliver innovative, scalable AI solutions and cloud-native data/ML pipelines.
Implement and enforce security, compliance, and responsible AI practices (IAM, encryption, auditability, observability) for AI workloads and agent interactions.
Engage and influence stakeholders across the organization, promoting the AI architectural vision, providing guidance on architectural decisions, and mentoring teams to build cloud-native AI capabilities.
Foster a culture of continuous learning and innovation, staying current on emerging trends in AI/ML, LLMs, agents, and cloud services, and feeding them into the roadmap for ongoing improvement.

Benefits

As a Florida Blue employee, you will thrive in our Be Well, Work Well, GuideWell culture where being well as an individual, and working well as a team, are both important in serving our members and communities.
To support your wellbeing, comprehensive benefits are offered. As an employee, you will have access to:
Medical, dental, vision, life and global travel health insurance
Income protection benefits: life insurance, short- and long-term disability programs
Leave programs to support personal circumstances
Retirement Savings Plan including employer match
Paid time off, volunteer time off, 10 holidays and 2 well-being days
Additional voluntary benefits available; and a comprehensive wellness program
Employee benefits are designed to align with federal and state employment laws. Benefits may vary based on the state in which work is performed. Benefits for intern, part-time and seasonal employees may differ.
To support your financial wellbeing, we offer competitive pay as well as opportunities for incentive or commission compensation. We also conduct regular annual reviews with pay for performance considerations for base pay increases.