AWS AI Architect

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Technology Strategy

Management Level

Manager

Job Description & Summary

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 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 technologies 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 technologies 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, delta 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. 

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

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.

To learn more about inclusion and diversity at PwC Canada: https://www.pwc.com/ca/en/about-us/diversity-inclusion.html. Be a part of The New Equation.

Chez PwC Canada, notre atout le plus précieux, c’est notre personnel. Et c’est en apprenant les uns des autres que nous devenons plus forts. Nous avons à cœur de créer une communauté équitable et inclusive de professionnels de la résolution de problèmes, dans laquelle chacun se sent vraiment à sa place. Nous savons que l’expérience peut prendre diverses formes et, pour nous, donner confiance au public et résoudre des problèmes importants n’est possible que si notre milieu de travail reflète la diversité de la société dans laquelle nous vivons.

Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.

Pour en savoir plus sur l’inclusion et la diversité chez PwC Canada: https://www.pwc.com/ca/fr/about-us/diversity-inclusion.html. Faites partie de La Nouvelle équation.