Architect role in a multinational company focused on designing and guiding enterprise grade Generative AI solutions that align with strategic business goals and ethical standards. The Architect will shape scalable hybrid cloud architectures ensure robust governance of AI models and collaborate across functions to deliver secure and responsible innovation that improves customer experiences and operational efficiency.
Responsibilities
- Design comprehensive Generative AI solution architectures that align with enterprise standards and enable secure integration of advanced models into existing platforms to support strategic business outcomes.
- Define and document end to end reference architectures for Generative AI including data flow patterns model orchestration and service interaction to ensure scalable and maintainable implementations.
- Guide teams in selecting appropriate Generative AI models frameworks and tools based on business requirements performance criteria and compliance obligations to maximize value delivery.
- Collaborate with product owners data scientists engineers and operations teams in a hybrid work setting to translate business problems into actionable Generative AI designs and technical roadmaps.
- Establish robust patterns for prompt engineering context management and retrieval augmented generation to improve accuracy relevance and reliability of Generative AI outputs.
- Create and maintain architecture standards for Generative AI including model lifecycle practices security controls monitoring mechanisms and cost optimization strategies for day shift operations.
- Evaluate and refine solution designs through architecture reviews proofs of concept and performance testing ensuring that Generative AI capabilities are resilient and fit for enterprise scale deployment.
- Integrate responsible AI principles into every architecture decision including data privacy fairness transparency and risk mitigation so that solutions create positive impact for customers and society.
- Provide detailed technical guidance to implementation teams on APIs microservices data pipelines and vector store integration ensuring that Generative AI components work seamlessly in hybrid environments.
- Define observability strategies for Generative AI solutions covering logging metrics tracing and feedback loops so that model behavior can be monitored tuned and continuously improved.
- Partner with security and compliance teams to analyze threats define controls and implement guardrails for Generative AI usage reducing exposure to misuse hallucinations and data leakage.
- Develop migration and modernization approaches that introduce Generative AI capabilities into legacy landscapes with minimal disruption while improving efficiency and user experience.
- Document architecture decisions patterns and best practices in clear technical artifacts that support knowledge sharing onboarding and consistent implementation across geographically distributed teams.
Qualifications
- Demonstrate ten to fourteen years of experience in architecture roles with substantial hands on exposure to Generative AI platforms foundation models and enterprise solution design.
- Bring strong practical knowledge of Generative AI concepts including prompt engineering model fine tuning retrieval augmented generation and evaluation techniques for quality and safety.
- Show proficiency in designing solutions using major cloud ecosystems and machine learning services with emphasis on hybrid deployment patterns and secure connectivity.
- Apply advanced skills in API design distributed systems and data engineering to construct robust pipelines that feed and govern Generative AI models at scale.
- Utilize solid understanding of software engineering practices including version control testing automation and continuous integration to ensure reliable delivery of AI enhanced services.
- Employ familiarity with ethical AI frameworks data protection regulations and organizational governance models to align Generative AI usage with policy and societal expectations.
- Leverage experience collaborating across cross functional teams in hybrid work arrangements with clear communication and structured documentation to keep stakeholders aligned.
📌 Generative AI Architect (Bengaluru)
🏢 Cognizant
📍 Bengaluru
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