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.
• Technology 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.
• As the SME on AWS AI technologies, 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 teams 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 technologies and architectural approach.
• Promote and ensure delivery teams’ 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 solutions, 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: Coaching 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: Demonstrable experience in consulting, architecting/solution, and leading multi-workstream AI engagements i
Location: Toronto, ON
Posted: Oct. 31, 2024, 3:35 a.m.
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