Senior Solution Architect - AI, Data Platform

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not provided
• Job Title: Senior Solution Architect – AI, Data Platform
• Brief Description: As a Senior Solution Architect – AI, Data Platform, you will drive the design and integration of AI/ML capabilities into our data platforms, ensuring scalability, performance, and alignment with business goals. You'll focus on building AI-first platform solutions that enable generative AI, machine learning, and advanced analytics, while partnering with cross-functional teams to deliver reusable, governed, and secure systems. This role requires deep expertise in AI/ML systems, cloud-native architectures, and a passion for pushing the boundaries of generative AI.

Requirements

• Deep expertise in AI/ML systems
• Experience with cloud-native architectures
• Passion for pushing the boundaries of generative AI
• Strong understanding of MLOps and LLMOps best practices
• Ability to design and architect ML and Gen AI platform solutions
• Experience in establishing standards, patterns, and frameworks for developing, deploying, and monitoring production-grade ML models and Gen AI applications
• Knowledge of IT security policies and experience with security reviews
• Ability to translate AI vision into technical solutions
• Collaboration and communication skills

Responsibilities

• Architectural Design:
  • Design and architect ML and Gen AI platform solutions, supporting the full lifecycle.
  • Architect secure and scalable Gen AI platform solutions ensuring platform reusability and ethical AI practices.
  • Establish standards, patterns, and frameworks for developing, deploying, and monitoring production-grade ML models and Gen AI applications.
  • Ensure compliance with IT security policies and drive security reviews in collaboration with the security team.
  • Present architectural designs to the review board (ARBs) for evaluation and approval.
• AI/ML Capability Model & Platform Roadmap:
  • Develop Gen AI and ML platform capability model, identifying gaps in tools, skills, and infrastructure across the data and AI platform.
  • Working closely with Product Owner to define a strategic roadmap for scaling Gen AI Platform capabilities and implementation, prioritizing business-aligned use cases.
  • Collaborate with AI governance team to define governance frameworks for model lifecycle management, security (RBAC, encryption), and compliance.
• Collaboration and Business Alignment:
  • Engage with business stakeholders and other AI professionals to identify and assess AI use cases, ensuring feasibility and business impact.
  • Translate AI vision into technical solutions, ensuring alignment with enterprise architecture.
  • Work closely with cross-functional teams to ensure successful implementation of scalable and secure AI solutions.
• Cross-Platform AI Integration and Engineering:
  • Design APIs and microservices to expose Gen AI and ML capabilities as reusable components within the data platform.

Application Instructions

• Not provided in the job description.