Senior AI Lead / Architect

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JOB TITLE: Senior AI Lead / Architect

LOCATION: Orlando FL(C2C/ ONSITE)

Job Description

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

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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.

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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

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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

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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

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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