Sr. AI Engineer - R01572484

Brillio; Florida; On-site; USD 150,000 - 210,000; Full time

Job summary

Brillio is seeking a Senior AI Engineer to lead the design and deployment of enterprise-scale AI platforms in a Florida-based role. You will drive MLOps, governance and architecture for scalable AI adoption across business, data, and technology teams.

The ideal candidate brings 7+ years of data science/AI leadership, hands-on experience with GenAI and LLMs, and strong Python/MLOps skills to deliver production-ready solutions in cloud environments.

Qualifications

• 7+ years experience in data science and AI with leadership in enterprise-grade platforms.
• Experience designing and operationalizing enterprise AI platforms.

Responsibilities

• Lead design and architecture of end-to-end enterprise AI platforms with scalability and reliability.
• Define frameworks for model lifecycle management, MLOps/LLMOps, AI observability.
• Establish Responsible AI governance and guardrails for compliance and ethics.
• Drive platform-level decision-making to enable scalable enterprise AI adoption.
• Provide architectural leadership across business, data, technology and platform teams.
• Evaluate emerging AI technologies and assess applicability to enterprise platforms.
• Guide teams in selecting models, platforms and architectural patterns.
• Collaborate with senior stakeholders to define the enterprise AI roadmap.

Skills

Enterprise AI Platform

MLOps/LLMOps

Responsible AI

Cloud AI Platforms

GenAI / LLMs

Python ML Libraries

Education

Bachelor's degree in CS or related

Azure Data Scientist or IBM Data Science cert

Cloud architecture / AI platform certs

Tools

TensorFlow

PyTorch

scikit-learn

Job description

About Brillio

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Sr. AI Engineer

Primary Skills

• Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling & Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication & Articulation: Vocal & Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy

Job requirements

Experience Range: With at least 7 years of experience in data science and AI, including significant leadership in designing and operationalizing enterprise-scale AI platforms

Key Responsibilities

• Lead the design and architecture of end-to-end enterprise AI platforms, ensuring scalability, reliability, and operational readiness
• Define and implement frameworks for model lifecycle management, MLOps/LLMOps, AI observability, and operationalization
• Establish Responsible AI principles, governance frameworks, and technical guardrails to ensure compliance and ethical AI deployment
• Drive platform-level technical decision-making to enable consistent and scalable enterprise AI adoption
• Provide architectural leadership across business, data, technology, and platform teams to translate AI strategy into production-ready solutions
• Evaluate emerging AI technologies and assess their applicability to enterprise AI platforms
• Guide teams in selecting appropriate models, platforms, frameworks, and architectural patterns based on business and technical requirements
• Collaborate with senior stakeholders to define the enterprise AI roadmap and platform strategy

Required Skills

• Expertise in enterprise AI platform architecture and operationalization
• Advanced proficiency in MLOps/LLMOps frameworks and tools
• Deep understanding of Responsible AI principles, governance, and compliance
• Hands-on experience with cloud-based AI platforms (AWS, Azure, GCP)
• Technical leadership in model lifecycle management and AI observability
• Strong knowledge of GenAI architectures, LLMs, and AI orchestration
• Experience with scalable, secure, and production-ready AI solutions
• Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)

Preferred Skills

• Experience establishing enterprise AI Centers of Excellence or platform teams
• Knowledge of vector databases, RAG, and AI agents
• Experience developing reusable AI architecture patterns and accelerators
• Familiarity with business intelligence and reporting automation
• Experience mentoring or leading cross-functional AI teams

Desired Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related discipline
• Certification in Data Science or Advanced Analytics from a recognized institution (e.g., Microsoft Certified: Azure Data Scientist Associate, IBM Data Science Professional Certificate)
• Certification in cloud architecture or AI platform engineering (e.g., AWS Certified Solutions Architect, Google Professional Machine Learning Engineer)

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Equal Employment Opportunity Declaration

Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.

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