Genai platform architect

Lieu de travail: Canada Horaire: 37.5 Secteur d’activité: Solutions technologiques Description du poste: JOB DESCRIPTION SUMMARY The GenAI Platform Architect will be responsible for designing, developing, and implementing advanced artificial intelligence (AI) platforms to support the integration and deployment of generative AI technologies across various business domains. This role requires a deep understanding of AI/ML models, cloud infrastructure, data management, and scalable system architectures. The ideal candidate will work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to deliver innovative AI solutions that drive strategic business outcomes. CUSTOMER Apply a multi-disciplined expertise with database, application, client tiers, layering of software, build, test and deploy strategies in order to create the overall design of software (including applications, infrastructure, middleware) and guide how the sub-components are developed by different teams. Elevate focus on applications and data as differentiators for the customer experience, anchored in sound foundational elements of Infrastructure and Platforms. Advise on suitability of technology stacks to define principles / key constraints for solution components; rally the team around these principles to determine security / scalability approach, and impact assessments for future design. Drive continual upgrading and ground the team in assessing practical program concerns to innovate on both server-side and user-side features as technologies / platforms expand to reduce technology debt and build resilient solutions. Lead code reviews to create and test prototypes to assess viability of approaches. Use configuration management and integration / build automation tools to lead and deploy code, gather proof points for developers to build on, navigate around complexities based on a clear understanding of the vision across the technology stacks and provide critical suggestions for fixes and improvements on the integration. Monitor and report on progress and collaborate broadly with other practitioners, including designers, engineers, and other applicable business stakeholders to ensure the necessary features for the products and applications are developed within assigned portfolio. Design tests that will be implemented to keep the software functional; support issue analysis and fix activities during test phases, as well as production issue resolution. Collaborate with Practices, actively driving capability creation; mentor and train junior colleagues to be adaptive, staying on top of expanding technologies and engineering trends and creating highly visual and functional solutions. SHAREHOLDER Set service-level objectives (SLO) and exercise key decision rights of the FSA role. Focus on reliability, scalability, and the development of the architectural infrastructure; including highly complex and scalable systems. Develop observability standards to ensure that production systems operate under known conditions and transparently provide these measurements to anticipate when errors or failures can arise. Lead interaction with governance and control groups, (e.g. regulatory / operational risk, compliance and audit) to provide subject matter expertise and consult on risk issues related to architectural technology and tools. Lead or contribute to cross-functional / enterprise initiatives as an organizational or subject matter expert helping to identify risk / provide guidance for significant and complex situations. Monitor and report on the status of the products / projects and applications within assigned product, ensuring projects are compliant with technology domain architecture, and designs / operates processes to provide ongoing review of in-progress activity against technology architecture and development standards. Foresee architectural issues / gaps and identify emerging industry trends to recommend value-added architectural improvements that will alleviate technology debt and build resilient solutions. Map processes and sub-processes that bridge the gap between business problems and technology solutions. Keep track of changes made to code through control systems. Collaborate within practices, platforms or journeys comprised of diverse and complementary skills; inspire the team to embrace changes and continually advance collective knowledge of technical tools / trends. Protect the interests of the organization - identify and manage risks, and escalate non-standard, high risk activities as necessary. Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts. Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite. EMPLOYEE / TEAM Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest. Provide thought leadership and/or industry knowledge for quality engineering best practices and participate in knowledge transfer within the team and business unit. Keep current on emerging trends/developments and grow knowledge of the business, related tools and techniques. Participate in personal performance management and development activities, including cross training within own team. Keep others informed and up-to-date about the status / progress of projects and/or all relevant or useful information related to day-to-day activities. Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices; may take on the role of Chapter Lead as applicable. Work collaboratively with the team and leadership to proactively identify and resolve issues related to product quality. Lead, motivate and develop relationships with internal and external business partners/stakeholders to develop productive working relationships. Contribute to a fair, positive and equitable environment that supports a diverse workforce. Act as a brand ambassador for your business area/function and the bank, both internally and/or externally. BREADTH & DEPTH Seasoned individual contributor role with expert knowledge of specific enterprise and/or functional domain(s) and a demonstrated track record working with a broad range of architecture frameworks, technology, tools, processes and procedures. Exceptional collaboration, communication and client-facing skills. Big-picture thinker, with ability to anticipate architectural gaps and identify emerging trends through both advanced business acumen and highly specialized technical knowledge of TD and its applications, programming languages, industry best practices, Bank standards, infrastructure and architectural design/solutions. Architect assigned to work autonomously on high profile, complex and/or high-risk technology projects with significant impact to the organization. Reports to an Architecture Practice Lead / Practice Area Lead. JOB REQUIREMENTS Design scalable and robust AI platforms to support the development, training, and deployment of generative AI models. Develop and implement architecture blueprints and roadmaps for AI/ML solutions. Ensure the integration of AI platforms with existing IT infrastructure and systems. Collaborate with data scientists to understand model requirements and provide architecture support for model development and deployment. Implement best practices for model versioning, monitoring, and governance. Optimize AI models for performance, scalability, and efficiency. Design and implement cloud-based solutions for AI/ML workflows, leveraging platforms such as AWS, Azure, or Google Cloud. Ensure data integrity, security, and compliance in AI/ML solutions. Manage data pipelines, storage solutions, and data processing frameworks to support AI model development. Work closely with business stakeholders to understand AI use cases and translate them into technical requirements. Collaborate with engineering teams to ensure seamless integration of AI solutions into production environments. Provide technical leadership and mentorship to junior architects and engineers. Stay abreast of the latest advancements in AI/ML technologies and industry trends. Identify opportunities for innovation and improvement in AI platform architecture and processes. Contribute to the development of AI strategy and vision for the organization. EXPERIENCE & EDUCATION Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. Extensive experience in designing and implementing AI/ML platforms and architectures. Proficiency in cloud computing platforms such as AWS, Azure, or Google Cloud. Strong understanding of AI/ML model development, deployment, and lifecycle management. Experience with data management, including data pipelines, storage solutions, and processing frameworks. Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. NICE TO HAVE Experience with generative AI models and frameworks such as GPT, GANs, or other deep learning models. Knowledge of big data technologies and tools such as Hadoop, Spark, or Kafka. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with AI/ML tools and libraries such as TensorFlow, PyTorch, or scikit-learn. Strong understanding of DevOps practices and CI/CD pipelines. #J-18808-Ljbffr