Generative AI Architect
- Cognizant
- 9 - 14 years
- Bengaluru
- 17 days ago
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Job Description
Skill: Generative AI Architect
Experience: 5-14 years
Location: Bangalore, India
About Cognizant
Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment.
About CAIL:
The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Labs mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life.
Role:
As a Lead GenAI Architect you will design, implement and deliver cutting-edge solutions in the field of Generative Artificial Intelligence (GenAI). You are a dynamic individual who is passionate about driving the adoption of AI solutions at scale and thrives in engaging with CxO level executives.
Engage with CxO-level stakeholders to understand business priorities and articulate how Generative AI solutions can create strategic value.
Provide thought leadership by sharing insights, trends, and best practices in the Generative AI landscape across industries.
Collaborate with cross-functional teams including AI Engineers, Data Scientists, SMEs, and business leaders to identify, design, and pilot high-impact GenAI use cases.
Conduct feasibility assessments for use cases, including alignment with business strategy, technical viability, risk analysis, and ROI evaluation.
Drive architecture decisions balancing build vs. buy vs. boost strategies and ensure scalability, flexibility, and cost-efficiency in GenAI solution design.
Develop and maintain end-to-end GenAI architectural strategies, leveraging modern cloud-native and hybrid platforms.
Evaluate and recommend appropriate AI frameworks, toolkits, APIs, and platforms that align with business needs and technology standards.
Identify, communicate, and mitigate technical risks associated with GenAI solution design and deployment.
Review solution architectures and implementation plans to ensure they meet performance, security, compliance, and maintainability requirements.
Define and implement governance and monitoring frameworks to track GenAI model performance, usage patterns, ethical considerations, and reliability over time.
Foster a culture of scientific inquiry, encouraging hypothesis-driven development and data-backed decision-making in GenAI experimentation.
Develop internal knowledge assets
Champion responsible AI
Job Description:
- Bachelor's or Master's degree in computer science, data science, or a related field.
- Proven experience in architecting and implementing AI solutions, with a focus on Generative Artificial Intelligence.
- Strong understanding of AI platforms, tools, and frameworks, and the ability to recommend suitable options based on client needs.
- Excellent communication and interpersonal skills, with the ability to engage with CxO level executives and articulate complex technical concepts in a business context.
- Demonstrated ability to lead and collaborate with cross-functional teams in the design and deployment of AI solutions.
- Knowledge of responsible AI practices and ethical considerations.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Architect
Employement Type: Full time
Contact Details:
Company: CognizantLocation(s): Bengaluru
Keyskills: innovation architecting python natural language processing consulting interpersonal skills numpy machine learning artificial intelligence intelligence pandas deep learning tensorflow java data science solution design ai platform communication skills architecture
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