Details

Contract

Full-Time

Location

London, United Kingdom

Department

Information Technology

Openings

1

Job ID

51568992

At PMI, we’ve chosen to do something incredible! We’re totally transforming our business and building our future on smoke-free products with the power to deliver a smoke-free future With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and you will have the space to move your career forward in many different areas/directions. IT at PMI PMI’s journey to a smoke-free future implies a shift from a tobacco manufacturer to a science and technology-based consumer facing organisation. Such a shift creates an abundance of unique and progressive IT projects to match all levels of skills and ambitions. You’ll feel like you’re working in a start-up – with the freedom to shape and define the future of digital, but with the support and scope of a vast global business. You’ll get a chance to work with innovative technologies (e.g., Cloud, APIs, AI) as well as management practices (e.g., Agile, Design Thinking, Product Management). Our environment is fast-paced and highly collaborative. If you want the freedom to find new ways to connect with consumers, there’s no better place to progress your career. The day-to-day responsibilities for the Solution Architect are to be carried out against the backdrop of a cloud-based Business Intelligence data and analytics platform supported by state-of-the-art technologies (AWS, Wherescape, Snowflake) and methodologies (Data Vault 2.0, SAFe, Scrum) enabling key transformation initiatives; therefore a sound technology background is imperative. We are looking for an innovative problem solver, with a track record of leading change using solution architecture to align with the evolving needs of our internal collaborators as well as partnering with the wider organization to shape and disrupt markets through adoption and innovation of cloud technologies. This role requires an individual with personal drive, a desire to roll up their sleeves and make things happen; an individual with exceptional attention to detail who is highly resilient, thrives in a fast-paced and high-profile environment while leading through ambiguity to address complex and large challenges while applying domain focus. Job summary As a Specialist ML Solutions Architect, you’ll build technical relationships with partners of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey in adopting Machine Learning across their organisation. You’ll manage the overall technical relationship between EAD and our partners, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their exciting Machine Learning projects. Internally, you will be the voice of the customer, sharing their needs and wants to inform the roadmap of EAD AI/ML features partnering closely with our Data Science Experts. In this role, your creativity will link technology to tangible solutions, with the opportunity to define cloud-native Machine Learning reference architectures for a variety of use cases. You will participate in the creation and sharing of standard methodologies, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and promote and educate about running Machine Learning workloads on AWS technology (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences). If you can educate our partners about the art of the possible, while challenging the impossible, come build the future with us. Key responsibilities • Collaborates/confer with all partners in the strategic design process and translates business needs into solution architecture design working closely with architecture, engineering teams. • Review, approve and take ownership of the solution architecture specification for AI/ML projects. • Represent solution architecture team at various inter & intra body meetings and committees. • Develops and maintains outstanding solution architecture leadership within the practice area. • Builds Trusted Advisor relationships with customers at the most senior executive level. • Drive thought leadership for our partners – identify industry and technical adoption patterns, define resolution, and determine how to scale across our customer portfolio using our domain data models. • Simplify complex concepts for common understanding across key partners including technical and business decision makers focusing primarily on reusability, modularity and scale of designs. • Demonstrate impactful communications to bridge perspectives, synthesize opinions, and credibly drive consensus for data architecture direction. • Advise on opportunities to delivery early impact by moving innovation from concept into production in collaboration with product/engineering teams, industry teams, and other ecosystem collaborators. • Support creation of Business Case for submission at budgets and spend reviews in cognizance of financial and timescale limitations vis-à-vis domain data models and data architecture roadmap • Support Benefits realization assessments & post-implementation reviews of projects vis-à-vis BPM • Ensure alignment and close cooperation with the business and IT functions including the Data Governance organization to ensure compliance and consistency of business processes to PMI technology and governance standards. Basic qualifications • 5-7 years of hands-on experience designing and implementing solution architecture for AI/ML • Background in any of the following: Cloud Architecture, DevOps, Software Development, Infrastructure Architecture, ML Engineering or Data Science • In-depth working knowledge and experience of the Artificial Intelligence/Machine Learning technical domain. • Technical Degree (Computer Science, Maths, Engineering or equivalent) and/or relevant tech experience. • Fluent written and verbal communication skills in English • A passion for technology and for learning. Preferred qualifications • Experience designing, building, refactoring or operating Machine Learning solutions - either on premises or in the cloud • Working knowledge of cloud native architectures • Knowledge of a Python and/or scripting, Infrastructure as Code etc. • In-depth working knowledge of DevOps, Serverless, Big Data and Analytics technologies. • Experience working in a customer-facing role. • AWS certification (e.g. AWS Solutions Architect Associate or Professional) or other industry certification. • AWS Certified Machine Learning – Specialty • Experience with SAFe methodology is a plus What we offer: Our success depends on the people who come to work every single day with a sense of purpose and an appetite for progress. Join PMI and you too can: • Seize the freedom to define your future and ours. We’ll empower you to try new things, experiment and explore. • Be part of an inclusive, diverse culture, where everyone’s contribution is respected; collaborate with some of the world’s best people and feel like you belong. • Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress.

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