Role: Senior AI Lead / Architect
Location: U.S - Orlando FL (Hybrid)
Mandatory Areas
Must Have Skills -
Skill 1 - Yrs of Exp - 10-15+ years of experience in software engineering, data engineering, or related technical roles
Skill 2 - Yrs of Exp - 5+ years of experience working with AI/ML systems, including recent exposure to GenAI/LLMs
Skill 3 - Yrs of Exp - designing and implementing AI-driven solutions in enterprise environments
Skill 4 - Yrs of Exp -
o LLMs and GenAI ecosystems
o Model integration and APIs (e.g., OpenAI, Azure OpenAI, etc.)
o Data pipelines and data architecture
Skill 1 - Yrs of Exp - tools/platforms such as Azure AI, Databricks, or similar ecosystems
Skill 2 - Yrs of Exp - generative ai
Skill 3 - Yrs of Exp -artificial intelligence
Overview
We are seeking a highly experienced AI Lead / Architect to support evolving AI initiatives. This role will work closely with Product, Engineering, and Data teams to define, shape, and deliver practical AI-driven solutions across the organization.
This is a hands-on leadership role, requiring both strategic oversight and the ability to contribute directly to solution design and implementation.
Key Responsibilities
• Partner with Product and Engineering leadership to identify and prioritize high-impact AI/GenAI use cases
• Define solution architectures for AI-driven capabilities across data, applications, and workflows
• Provide hands-on technical leadership (~30-40%) in areas such as prototyping, model integration, and solution validation
• Guide teams on best practices for leveraging AI/GenAI tools within existing development workflows
• Support the development of scalable, reusable AI patterns and accelerators
• Collaborate with data teams to ensure strong alignment on data readiness, governance, and model performance
• Help establish practical frameworks for evaluating and deploying AI use cases in a controlled and scalable manner
Required Experience
• 10-15+ years of experience in software engineering, data engineering, or related technical roles
• 5+ years of experience working with AI/ML systems, including recent exposure to GenAI/LLMs
• Proven experience designing and implementing AI-driven solutions in enterprise environments
• Strong understanding of:
o LLMs and GenAI ecosystems
o Model integration and APIs (e.g., OpenAI, Azure OpenAI, etc.)
o Data pipelines and data architecture
• Experience working cross-functionally with Product and Engineering teams
• Ability to balance strategic thinking with hands-on execution
Preferred Qualifications
• Experience working in regulated or data-sensitive environments
• Familiarity with tools/platforms such as Azure AI, Databricks, or similar ecosystems
• Prior experience helping organizations adopt AI in a structured, scalable way
• Strong communication skills and ability to influence senior stakeholders
Key Attributes
• Pragmatic and execution-focused
• Comfortable operating in fast-paced, evolving environments
• Strong collaborator with a "build with the team" mindset
• Able to translate complex AI concepts into practical business value
