Senior AI Lead Architect

Role: Senior AI Lead / Architect
Location: U.S - Orlando FL

Onsite Requirement - Prefers Onsite
Number of days onsite -
If Onsite Office Address Orlando FL

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

Mandatory Areas
Must Have Skills

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
Yrs of Exp designing and implementing AI-driven solutions in enterprise environments
o LLMs and GenAI ecosystems
o Model integration and APIs (e.g. OpenAI Azure OpenAI etc.)
o Data pipelines and data architecture

Good To have Skills
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