AI Architect
Role Overview
Required Skills: 5-7 years of relevant experience in a data architect or AI/data engineer role at a company over $5B in revenue
Demonstrated experience designing and deploying AI-integrated data solutions in cloud environments (Snowflake preferred)
Hands-on experience with Agentic AI frameworks — including multi-agent orchestration, LLM tool-calling, and autonomous workflow design
Strong background in Snowflake AI/Cortex features: Cortex Analyst, Cortex Search, Cortex LLM Functions, Snowflake Copilot, and Document AI
Experience establishing AI security controls, guardrails, and governance frameworks (prompt safety, data privacy, access controls, output validation)
Strong proficiency in Python, SQL, dbt (cloud), Fivetran, Snowpark, and AWS platform services
Experience with copilot-assisted development tools (GitHub Copilot, Claude, Cowork) and integrating AI into developer workflows
Ability to create reusable AI templates, prompt libraries, and accelerators for data pipeline development
Ability to translate business strategy into AI architectural decisions and communicate effectively with technical and non-technical stakeholders
Preferred Qualifications: Experience at a large organization with over $10B in revenue
Experience on large-scale enterprise data modernization projects with AI integration
Advanced knowledge of Snowflake Cortex Agents and Snowflake AI Data Cloud capabilities
Experience with vector databases, RAG (Retrieval-Augmented Generation), and semantic search patterns for enterprise data
Familiarity with Cowork, Microsoft Copilot, or similar enterprise AI productivity platforms integrated with data workflows
Experience implementing data quality practices enhanced by AI-driven anomaly detection
Experience building AI governance frameworks including model risk management, bias detection, and responsible AI policies
Strong ability to build internal communities of practice around AI-assisted data development
High degree of initiative with the capacity to lead multiple priorities in a fast-paced environment
Strong negotiation, organizational, presentation, and verbal communication skills
Demonstrated ability to manage ambiguity and deliver creative AI-driven solutions in complex environment
Mandatory Skills: GCP AI Architecture.
Key Skills for This Role
Full Job Posting
Job Description
Required Skills: 5-7 years of relevant experience in a data architect or AI/data engineer role at a company over $5B in revenue Demonstrated experience designing and deploying AI-integrated data solutions in cloud environments (Snowflake preferred) Hands-on experience with Agentic AI frameworks — including multi-agent orchestration, LLM tool-calling, and autonomous workflow design Strong background in Snowflake AI/Cortex features: Cortex Analyst, Cortex Search, Cortex LLM Functions, Snowflake Copilot, and Document AI Experience establishing AI security controls, guardrails, and governance frameworks (prompt safety, data privacy, access controls, output validation) Strong proficiency in Python, SQL, dbt (cloud), Fivetran, Snowpark, and AWS platform services Experience with copilot-assisted development tools (GitHub Copilot, Claude, Cowork) and integrating AI into developer workflows Ability to create reusable AI templates, prompt libraries, and accelerators for data pipeline development Ability to translate business strategy into AI architectural decisions and communicate effectively with technical and non-technical stakeholders
Preferred Qualifications: Experience at a large organization with over $10B in revenue Experience on large-scale enterprise data modernization projects with AI integration Advanced knowledge of Snowflake Cortex Agents and Snowflake AI Data Cloud capabilities Experience with vector databases, RAG (Retrieval-Augmented Generation), and semantic search patterns for enterprise data Familiarity with Cowork, Microsoft Copilot, or similar enterprise AI productivity platforms integrated with data workflows Experience implementing data quality practices enhanced by AI-driven anomaly detection Experience building AI governance frameworks including model risk management, bias detection, and responsible AI policies Strong ability to build internal communities of practice around AI-assisted data development High degree of initiative with the capacity to lead multiple priorities in a fast-paced environment Strong negotiation, organizational, presentation, and verbal communication skills Demonstrated ability to manage ambiguity and deliver creative AI-driven solutions in complex environment
Mandatory Skills: GCP AI Architecture.
Experience: 5-8 Years.
The expected compensation for this role ranges from $60,000 to $135,000.
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
Qualifications
- 5-7 years of relevant experience in a data architect or AI/data engineer role at a company over $5B in revenue
- Hands-on experience with Agentic AI frameworks — including multi-agent orchestration, LLM tool-calling, and autonomous workflow design
- Strong background in Snowflake AI/Cortex features: Cortex Analyst, Cortex Search, Cortex LLM Functions, Snowflake Copilot, and Document AI
- Experience establishing AI security controls, guardrails, and governance frameworks (prompt safety, data privacy, access controls, output validation)
- Strong proficiency in Python, SQL, dbt (cloud), Fivetran, Snowpark, and AWS platform services
- Experience with copilot-assisted development tools (GitHub Copilot, Claude, Cowork) and integrating AI into developer workflows
- Ability to create reusable AI templates, prompt libraries, and accelerators for data pipeline development
- Ability to translate business strategy into AI architectural decisions and communicate effectively with technical and non-technical stakeholders
- GCP AI Architecture.
- 5-8 Years.
- The expected compensation for this role ranges from $60,000 to $135,000.
- Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
- Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
- Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
- Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
Preferred Qualifications
- Demonstrated experience designing and deploying AI-integrated data solutions in cloud environments (Snowflake preferred)
- Experience at a large organization with over $10B in revenue
- Experience on large-scale enterprise data modernization projects with AI integration
- Advanced knowledge of Snowflake Cortex Agents and Snowflake AI Data Cloud capabilities
- Experience with vector databases, RAG (Retrieval-Augmented Generation), and semantic search patterns for enterprise data
- Familiarity with Cowork, Microsoft Copilot, or similar enterprise AI productivity platforms integrated with data workflows
- Experience implementing data quality practices enhanced by AI-driven anomaly detection
- Experience building AI governance frameworks including model risk management, bias detection, and responsible AI policies
- Strong ability to build internal communities of practice around AI-assisted data development
- High degree of initiative with the capacity to lead multiple priorities in a fast-paced environment
- Strong negotiation, organizational, presentation, and verbal communication skills
- Demonstrated ability to manage ambiguity and deliver creative AI-driven solutions in complex environment
About Wipro
Wipro is an Indian technology services and consulting company that helps organizations with digital transformation through offerings in cloud, cybersecurity, data and analytics, artificial intelligence, applications, and engineering.
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