Gen AI Architect (Hybrid)
- Toronto, ON, Canada
The base salary for this position ranges between $89,550 – $141,500 per year. · Full-time
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Job details
- Pay
- The base salary for this position ranges between $89,550 – $141,500 per year.
- Job type
- Full-time
- Apply by
- Experience
- 12+ years of experience in enterprise architecture, solution architecture, AI platforms, data engineering, or related technology leadership roles.
- Posting language
- English
- Posted
Original job description
Gen AI Architect
About The Role
As an Gen AI Architect, you will make an impact by defining and advancing enterprise-scale AI platform architecture that enables innovative, secure, and scalable AI solutions across global business functions. You will be a valued member of the AI and Digital Engineering organization and will collaborate with business leaders, product teams, data engineers, application architects, platform engineers, and client stakeholders to accelerate AI adoption and business value.
In This Role, You Will
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Toronto ,Ontario . Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
What You Need To Have To Be Considered
Salary And Other Compensation
Applications will be accepted until December 13th , 2026.
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $89,550 – $141,500 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant's discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.
About The Role
As an Gen AI Architect, you will make an impact by defining and advancing enterprise-scale AI platform architecture that enables innovative, secure, and scalable AI solutions across global business functions. You will be a valued member of the AI and Digital Engineering organization and will collaborate with business leaders, product teams, data engineers, application architects, platform engineers, and client stakeholders to accelerate AI adoption and business value.
In This Role, You Will
- Define and govern enterprise AI platform architecture, ensuring alignment between business objectives, technology strategy, security standards, and operational requirements across global markets.
- Design scalable AI and Generative AI solution architectures that integrate seamlessly with enterprise data, application, and cloud ecosystems.
- Lead the development of Python-based frameworks, services, APIs, and orchestration workflows that support production-grade AI solutions and reusable platform capabilities.
- Establish AI platform standards, reference architectures, governance frameworks, and best practices that enable rapid and compliant solution delivery.
- Partner with business and technology stakeholders to identify and deliver AI use cases across the Cards and Payments domain, including fraud detection, transaction intelligence, risk monitoring, and customer experience optimization.
- Drive the adoption of responsible AI practices by addressing model performance, explainability, fairness, scalability, and regulatory requirements.
- Guide engineering teams on platform observability, monitoring, logging, performance optimization, and operational excellence for AI-powered services.
- Evaluate emerging AI technologies, cloud services, and industry trends to shape the enterprise AI roadmap and long-term investment strategy.
- Assess architectural risks, including model drift, data quality challenges, scalability concerns, and operational vulnerabilities, and implement mitigation strategies.
- Lead technical planning, solution estimation, architecture reviews, and executive-level discussions for strategic AI initiatives.
- Develop and maintain architecture documentation, design patterns, platform standards, and technical governance artifacts.
- Consistently demonstrate the Cognizant Way to Lead by building trust, fostering collaboration, driving strategic vision, delivering business outcomes, and promoting an inclusive culture.
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Toronto ,Ontario . Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
What You Need To Have To Be Considered
- 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 within complex, regulated environments.
- Strong experience translating business objectives into scalable and secure architecture blueprints and technology roadmaps.
- Advanced hands-on proficiency with Python and modern software engineering practices for building APIs, automation solutions, orchestration frameworks, and data processing services.
- Proven 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.
- Strong analytical, problem-solving, and decision-making skills with the ability to balance innovation, risk, and business value.
- Embodiment of the Cognizant Way to Lead: Leading Self, Leading Others, and Leading the Business.
- Embodiment of Cognizant's Values: Work as One, Dare to Innovate, Raise the Bar, Do the Right Thing, and Own It.
- Experience in the Cards and Payments industry, including payment processing, transaction systems, fraud prevention, compliance, and regulatory frameworks.
- Expertise with cloud AI platforms such as Microsoft Azure AI, AWS AI/ML Services, or Google Cloud Vertex AI.
- Experience with MLOps, LLMOps, model lifecycle management, and AI governance frameworks.
- Familiarity with vector databases, knowledge retrieval systems, and Retrieval-Augmented Generation (RAG) architectures.
- Advanced stakeholder management and executive communication experience within global organizations.
Salary And Other Compensation
Applications will be accepted until December 13th , 2026.
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $89,550 – $141,500 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant's discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.
More about this job
Responsibilities
Define and govern enterprise AI platform architecture, standards, and roadmaps, and lead the design and development of scalable AI and Generative AI solutions integrated with enterprise data, applications, and cloud systems. Guide cross-functional teams and stakeholders in delivering responsible, production-ready AI use cases, particularly in Cards and Payments, while managing architecture risks and operational excellence.
Requirements
Requires 12 or more years of experience in enterprise or solution architecture, AI platforms, data engineering, or related technology leadership, with deep expertise in enterprise-scale AI, machine learning, and Generative AI. Candidates need advanced Python skills, experience operationalizing Generative AI and cloud-native platforms, and a record of establishing architecture governance and leading cross-functional teams.
Skills
- Enterprise AI Architecture
- Generative AI
- Machine Learning
- Python
- API Development
- Prompt Engineering
- Retrieval-Augmented Generation
- Responsible AI
- Cloud-Native Architecture
- Distributed Systems
- Platform Engineering
- Architecture Governance
- MLOps
- LLMOps
- Vector Databases
- Stakeholder Management
Benefits
- Wellbeing Programs
- Performance-Based Bonus
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Management & Leadership
- Consulting
Keywords
- Enterprise Architecture
- Solution Architecture
- AI Platforms
- Artificial Intelligence
- Machine Learning
- Generative AI
- Python
- Foundation Models
- Prompt Engineering
- Model Evaluation
- Retrieval-Augmented Generation
- Vector Databases
- Knowledge Retrieval Systems
- Microsoft Azure AI
- AWS AI/ML Services
- Google Cloud Vertex AI
- MLOps
- LLMOps
- Model Lifecycle Management
- AI Governance
- Responsible AI
- Cloud-Native Architecture
- Distributed Systems
- Enterprise Integrations
- API Ecosystems
- Platform Engineering
- Cards and Payments
- Fraud Detection
- Transaction Intelligence
- Risk Monitoring