AWS AI Architect

PwC's Cloud Computing and Networking practice helps our clients transform their business through innovative technology solutions and effective IT Service Management. Part of that journey includes helping our clients enable innovation, reinventing their customer experience, and exploring new markets.You will be immersed in a variety of different projects, groups, and locations while getting inspired through your community to grow as an individual as well as a team. Our diverse client service teams encourages out-of-the-box thinking, problem solving, great team mentality and a curiosity for understanding the latest in technology.
We seek an experienced and forward-thinking AI Architect to join our rapidly expanding AWS Alliance team. This role is crucial in designing and delivering cutting-edge AI solutions that drive our clients' success. In this role, you will play a pivotal part in designing, developing, and maintaining AI-related projects, enabling our clients to deploy advanced analytics and AI models. Your expertise will transform business requirements and vast datasets into AI solutions, empowering our clients to achieve their business goals.

Meaningful work you'll be part of
Delivering Solutions:
• Requirements Gathering and Solutioning :
• Collaborate with stakeholders to gather and analyze requirements, providing clear project direction and prioritization .
• Identify customer pain points & objectives , relevant KPIs, and articulate solution impact.
• Conduct discovery sessions, analyze requirements, and design solutions.
• Work with the delivery team to review solution designs.
• Tech nology Lead /SME :
• Lead project planning, execution, and delivery activities , ensuring alignment with business objectives , timelines, and quality standards .
• Identify , manage , and resolve any risks, issues, and blockers.
• A s the SME on AWS AI technolog ies , serve as technical lead on customer engagements and internal initiatives , providing technical guidance and leadership to delivery teams .
• Providing leadership on engagements, including balancing team and individual responsibilities; building teams and consensus; getting things done through others not directly under their supervision; and working ethically and with integrity .
• Stay embedded with the AI delivery team s to understand functional and non - functional requirements, remove roadblocks, and analyze feasibility.
• Foster a culture of innovation and continuous learning within the team.
• Identify areas for improvement and increase the productivity of the Delivery team.
• Best Practices:
• Ensure the development of robust, scalable AI solutions by providing technical oversight and aligning with AWS best practices.
• Establish and maintain best practices for engagement delivery and leverage frameworks consistent with and supportive of the AWS AI t echnolog ies and architectural approach.
• Promote and ensure delivery team s' adherence to Agile methodology and Scrum framework.
• Communication & reporting :
• Establish and ensure regular and effective communication with all required stakeholders, translating complex AI concepts into understandable insights and updates.
• Implement mechanisms to monitor , manage, and provide progress on all engagement activities and team performance and establish regular reporting to leadership .

Supporting Data and AI Practice ' s Growth and Operational Excellence :
• Hiring: Participate in interviews and other recruiting activities to ensure the hiring of the highest quality candidates .
• Sales: Support sales activities by meeting with potential customers, discovering and validating requirements, presenting solution s, presenting our team ' s capabilities and offerings , performing technical validation , and reviewing Statements of Work (SoWs) .
• Marketing & Brand Building : Participate in events ( e.g., re:Invent , AWS Summits, etc. ), produce thought leadership content (e.g., blogs, whitepapers), and develop demos .
• Coaching and Mentoring : C oaching and mentoring diverse people and perspectives .

Learning:
• Maintains an in-depth knowledge of AWS cloud data and AI - related technologies and can articulate best practice approaches and practices.
• Maintain knowledge of various data and AI-related compliance and industry regulations to ensure consistent compliance with policies, standards, and tools and consistent enforcement with clients .

Experience and skills you ' ll use to solve
• AI Expertise :
• Expert knowledge of AIML and GenAI concepts and methodologies, including supervised, unsupervised, semi-supervised, self-supervised, online, and transfer learning for tasks such as classification, regression, and clustering.
• Expert knowledge in natural language processing, computer vision, statistical modelling.
• Expert knowledge in the ML development cycle and best practices captured by AWS Well-Architected Framework - ML Lens.
• Leadership: Demonstra ble experience in consulting , architecting/solution, and leading multi-workstream AI engagements in an enterprise setting.
• AWS AI: Expert knowledge in AWS AI , MLOps and LLMOps technologies
• AI Expertise :
• Advanced knowledge of SQL language, proficiency with Python , Jupyter , and popular Stat and ML libraries (e.g. , scikit - learn , Pandas, and Keras )
• Advanced knowledge in code repositories, code development processes, and code reviews.
• AWS Infrastructure & Data:
• Expert knowledge in AWS infrastructure technolog ies relevant to AI, such as CDK, CloudFormation, AWS Step Functions, EC2, and IAM ).
• Advanced knowledge in Data integration , data ingestion , and data processing across structured and unstructured data sources, along with various enterprise applications
• Advanced knowledge in AWS data technolog ies relevant to AI, such as AWS Glue, Amazon Athena, Amazon QuickSight , Amazon Relational Databases, Amazon EMR , AWS CleanRooms , Amazon Redshift, AWS LakeFormation , Snowflake, Databricks, etc.).
• Familiarity with modern data architecture and platforms , such as cloud, data mesh, data lakehouse , d elta lake, and data warehousing .
• Problem-Solving: Strong analytical and problem-solving skills, with the ability to think critically and creatively.
• Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Autonomy: Ability to work independently and in a team.
• Learning: An interest in continuously upskilling for a digital-first world and embracing technology trends, an openness to learning new tools, and adapting how you work . Learning: An interest in continuously upskilling for a digital-first world and embracing technology trends, an openness to learning new tools, and adapting how you work .
• Education: Bachelor ' s degree in a quantitative field (Computer Science, Machine Learning, Operational Research, Statistics) . A master ' s or PhD degree in a relevant field is a bonus .
• Certifications: AWS certifications are a bonus.

Why you'll love PwC
We're inspiring and empowering our people to change the world. Powered by the latest technology, you'll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more a bout our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc
The most connected firm through activity based working
PwC Canada is committed to cultivating an inclusive, hybrid work environment - one that is collaborative, supportive and productive. We work in-person and virtually, as is best suited for our clients, teams and people . We want you to be intentional with your work, how you do it and where it's done. PwC offices are hubs of connectivity and learning. We strongly encourage our people to prioritise in-person work . We know that hybrid work is all about balance, and capturing the benefits of in-person work is essential to your growth at the firm. Exact expectations for your team can be discussed with your interviewer.

At PwC Canada, our most valuable asset is our people and we grow stronger as we learn from one another. We're committed to creating an equitable and inclusive community of solvers where everyone feels that they truly belong. We understand that experience comes in many forms and building trust in society and solving important problems is only possible if we reflect the mosaic of the society we live in.
We're committed to providing accommodations throughout the application, interview, and employment process. If you require an accommodation to be at your best, please let us know during the application process.