2 days ago
Toronto, CanadaStaff+
Base Salary
$90k - $142k/yr
Responsibilities
- Define and govern enterprise AI platform architecture aligned with business objectives, security standards, and operational requirements.
- Design scalable AI and Generative AI solution architectures integrated with enterprise data, applications, and cloud ecosystems.
- Develop Python-based frameworks, services, APIs, and orchestration workflows for production AI solutions and reusable platform capabilities.
- Establish AI platform standards, reference architectures, governance frameworks, design patterns, and best practices.
- Deliver AI use cases across Cards and Payments, including fraud detection, transaction intelligence, risk monitoring, and customer experience optimization.
- Promote responsible AI practices covering performance, explainability, fairness, scalability, and regulatory requirements.
- Guide engineering teams on observability, monitoring, logging, performance optimization, and operational excellence.
- Evaluate emerging AI technologies and cloud services and shape the enterprise AI roadmap and investment strategy.
- Assess and mitigate risks involving model drift, data quality, scalability, and operational vulnerabilities.
- Lead technical planning, solution estimation, architecture reviews, documentation, and executive-level discussions.
Requirements
- 12+ years of experience in enterprise architecture, solution architecture, AI platforms, data engineering, or related technology leadership roles.
- Deep expertise designing and implementing enterprise-scale AI, Machine Learning, and Generative AI platforms in complex, regulated environments.
- Strong experience translating business objectives into scalable, secure architecture blueprints and technology roadmaps.
- Advanced hands-on proficiency with Python and modern software engineering practices for APIs, automation, orchestration, and data processing services.
- Experience deploying and operationalizing Generative AI solutions, including foundation models, prompt engineering, evaluation methodologies, RAG architectures, and responsible AI controls.
- Strong understanding of cloud-native architecture, distributed systems, enterprise integrations, API ecosystems, and platform engineering principles.
- Experience establishing architecture governance, standards, and best practices across multiple delivery teams and business units.
- Demonstrated success leading cross-functional teams and influencing senior stakeholders in large-scale transformation programs.
- Preferred experience in Cards and Payments, including payment processing, transaction systems, fraud prevention, compliance, and regulatory frameworks.
- Preferred expertise with Microsoft Azure AI, AWS AI/ML Services, or Google Cloud Vertex AI, plus MLOps, LLMOps, model lifecycle management, AI governance, vector databases, and knowledge retrieval systems.
- Advanced stakeholder management and executive communication experience within global organizations.
Benefits
- Hybrid work arrangement requiring three days per week in a client or Cognizant office in Toronto, Ontario.
- Eligibility for Cognizant's discretionary annual performance-based bonus.
- Benefits supporting physical, mental, and financial wellbeing.
Categories
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.