Sr. AI Engineer – R01572484

Brillio; Florida; Sur place; USD 150 000 - 155 000; Plein temps

Résumé du poste

Brillio in the United States seeks a senior Data Science/AI Platform Architect to lead end-to-end enterprise AI platforms, focusing on scalability, reliability, and production readiness.

You will define model lifecycle, MLOps/LLMOps, governance, and guardrails, collaborate with senior stakeholders, and drive platform strategy across business and technology teams.

Qualifications

• Experience leading enterprise AI platforms and scalable architectures.
• Deep knowledge of ML lifecycle, reproducibility, and observability.
• Strong stakeholder management and strategic planning.

Responsabilités

• Lead design and architecture of end-to-end enterprise AI platforms.
• Define frameworks for model lifecycle management and observability.
• Establish governance and guardrails for Responsible AI deployments.
• Drive platform strategy and collaborate with cross-functional teams.
• Evaluate new AI technologies for enterprise adoption.

Connaissances

Enterprise AI platform architecture

MLOps/LLMOps

Responsible AI governance

Cloud platforms (AWS/Azure/GCP)

Leadership

Python & ML libraries

Strategic collaboration

Formation

Bachelor’s degree in Computer Science / Data Science / Mathematics

Cloud/AWS/Azure data science certs

Outils

TensorFlow

PyTorch

scikit-learn

MLflow

Description du poste

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.

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)

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.

Salary: 150,000-155,000 USD per year salary