Senior Solution Architect - Data and AI

Employment Type: Full-time Location Type: Remote

Position Overview

Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready?

As a Senior Solution Architect - Data and AI, you will contribute to the evolution of our company-wide data, AI, and analytics platform, which serves central teams and markets. This role is pivotal in shaping the architecture of our next-generation data platform leveraging AWS, Databricks, Snowflake, and cutting-edge AI technologies. As part of the Data Platform Architecture team, you will play a key role in defining and delivering scalable, high-performance solutions that empower our data and AI initiatives across the organization.

Why Join the PMI Data Platform Architecture Team?

• Transform and Evolve: A unique opportunity to transform and evolve our global data, AI, and analytics platform that delivers data solutions to the entire company using cloud-native technologies.
• Customer Engagement: Engage with our customers across all functions and regions.
• Collaboration: Collaborate with other architects, engineers, and our security teams to build robust, scalable, secure, self-service industrialized data and AI platform solutions.

Key Responsibilities

Data and AI Platform Design and Architecture

• Design and architect end-to-end solutions for data platforms, integrating data lakes, warehouses, and advanced analytics capabilities, primarily using Databricks, Snowflake, and AWS cloud, aligning to business requirements emphasizing scalability and security.
• Develop and maintain reference architectures, blueprints, and solution design patterns for the data platform.
• Guide the integration of modern database technologies, including SQL and NoSQL databases.
• Design ML platform solutions to deliver end-to-end ML lifecycle, from exploration to deployment to serving and monitoring.
• Design scalable and modular Gen AI platform solutions that integrate with existing data ecosystems on AWS.
• Define reference architectures for implementing Gen AI capabilities such as LLMs, retrieval-augmented generation (RAG), knowledge graph, and prompt engineering.
• Guide the technical implementation of data and AI platforms and applications.
• Guide the adoption of MLOps and LLMOps best practices for ML and Gen AI, ensuring efficient deployment, monitoring, and lifecycle management of AI models.
• Ensure compliance with PMI IT security policies and standards.
• Conduct regular security reviews in collaboration with the security team and submit architectural designs to the review board for evaluation and approval.

Collaboration and Communication

• Collaborate with business stakeholders and product owners to gather requirements and define strategies for data platform modernization.
• Work closely with cross-functional teams to ensure successful implementation of architectural solutions.

Technology and Vendor Assessment

• Participate in the evaluation and recommendation of emerging data and AI technologies, leading proof-of-concept initiatives, and pilot projects, ensuring alignment with business and technology platform needs.

Best Practices and Standards

• Establish and enforce data platform best practices, standards, and guidelines.
• Collaborate with different architecture teams (enterprise, solution, data, and security) to establish a design pattern factory and take the lead on democratizing the design patterns for reusability.
• Create and deliver reusable technical assets and design patterns that help to accelerate the adoption of data and AI solutions on the AWS platform.

Architectural Guidance and Documentation

• Provide architectural guidance and documentation for data and AI solutions.

Salary

• Information not provided.