Partner with Data Science and Product Management teams to productionise and host Data Science and AI products on on-premises and cloud-based AI platforms.
Collaborate with product owners, engineering teams and industry partners throughout the product development lifecycle, from concept and prototyping to testing, deployment, operationalisation and product end-of-life.
Technical Strategy and Roadmap: Assess existing systems, identify architectural gaps and define a technical roadmap across data, search and AI. Prioritise investments and determine what to improve, simplify, replace or rebuild.
Manage daily inbound user communications across email and direct messaging channels, categorise inquiries by type and urgency, and ensure prompt, professional responses
Work with product managers, engineers, designers and domain experts to understand user needs, identify suitable AI approaches, and define measurable outcomes and quality expectations
Develop standards, certification and verification programs, assessment methodologies, test requirements, and technical criteria for AI-enabled physical products. Translate emerging regulations and industry needs into practical, testable, and auditable requirements.
Partner the business on learning and workforce priorities. Build trusted relationships with Technology & Operations business unit stakeholders to understand business strategy, workforce requirements, capability gaps and transformation priorities.
Translate priority AI use cases into well-defined AI agents and agentic workflows, with clear business objectives, ownership, success measures and control requirements.
End-to-End Development: Lead the design and implementation of robust, scalable software applications with Flutter/React and complementary technologies.
Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a hands-on AI Specialist Solutions Architect (SSA). AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs.SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or design an entirely new cloud-based system.Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field.This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments.Key job responsibilities
10+ years of experience in technology consulting, pre-sales experience, preferably in software, data, analytics, infrastructure, artificial intelligence, or related fields.
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
Lead AI & Data Science delivery - Manage teams and end-to-end delivery of AI and data science projects, from strategy and solution design through implementation.