Primary Skills
AI Architect – Data & AI Platforms (Banking)
12-15 years of experience in Data Architecture, Data Engineering, AI Data Platforms, and AI/GenAI solutions, with proven experience designing and delivering the large scale projectsKey Tags - AWS, Snowflake Cortex, Banking domain, Hands on experience
Specialization
- Data Science Foundation: Senior Data Scientist/ AI Architect
Job requirements
AI Architect – Data & AI Platforms (Banking)
12-15 years of experience in Data Architecture, Data Engineering, AI Data Platforms, and AI/GenAI solutions, with proven experience designing and delivering the large scale projectsKey Tags - AWS, Snowflake, Banking domain, Hands on experience
Role Overview
We are seeking an experienced AI Architect with strong Banking and Financial Services domain expertise to lead the design and implementation of enterprise Data & AI platforms. The ideal candidate will possess deep expertise in Snowflake and AWS, strong data architecture and engineering fundamentals, and hands-on experience architecting Generative AI and Agentic AI solutions.
Key Responsibilities
• Lead the architecture and design of enterprise Data & AI platforms supporting analytics, reporting, and AI-driven business capabilities.
• Partner with business and technology stakeholders to identify and prioritize high-value AI and data modernization opportunities.
• Define scalable data architecture, governance, security, and compliance frameworks aligned with banking and regulatory requirements.
• Architect and guide implementation of AI, Generative AI, and Agentic AI solutions leveraging enterprise data assets.
• Provide technical leadership across data engineering, AI engineering, and platform teams.
• Establish architecture standards, best practices, and future-state roadmaps for data and AI capabilities.
Required Skills & Experience
• Strong Banking and Financial Services domain experience with understanding of lending, commercial banking, risk, finance, regulatory reporting, customer data, and enterprise data management.
• Proven experience designing and implementing enterprise-scale data platforms in highly regulated environments with a strong focus on governance, security, compliance, and auditability.
• Deep expertise in data architecture, data engineering, data warehousing, data lakes, lakehouse architectures, data modeling, metadata management, and data governance.
• Hands-on experience designing end-to-end data platforms, including ingestion, integration, transformation, storage, data quality, lineage, and consumption layers.
• Strong expertise with Snowflake, including Snowpark, Cortex, Cortex Analyst, Cortex Search, Iceberg integration, data sharing, security, and performance optimization.
• Strong experience with AWS services including S3, Glue, Lambda, EMR, ECS/EKS, and related cloud-native data engineering services.
• Experience architecting modern cloud-based data platforms leveraging Snowflake and AWS.
• Strong understanding of Generative AI, LLMs, RAG, Vector Databases, AI Agents, Multi-Agent Architectures, and Agentic AI patterns.
• Hands-on experience designing and deploying AI solutions using Snowflake Cortex, AWS Bedrock, and enterprise AI frameworks.
• Experience integrating AI capabilities into enterprise data platforms while ensuring governance, security, and responsible AI practices.
• Excellent stakeholder management, communication, and leadership skills with the ability to bridge business and technology teams.
Skills Required
- 12-15 years experience in Data Architecture, Data Engineering, AI Data Platforms, and AI/GenAI solutions
- Strong Banking and Financial Services domain experience (lending, commercial banking, risk, finance, regulatory reporting)
- Proven experience designing and implementing enterprise-scale data platforms in regulated environments with governance, security, compliance, and auditability
- Deep expertise in data architecture, data engineering, data warehousing, data lakes/lakehouse architectures, data modeling, metadata management, and data governance
- Hands-on experience designing end-to-end data platforms including ingestion, integration, transformation, storage, data quality, lineage, and consumption layers
- Strong expertise with Snowflake, including Snowpark, Cortex, Cortex Analyst, Cortex Search, Iceberg integration, data sharing, security, and performance optimization
- Strong experience with AWS services including S3, Glue, Lambda, EMR, ECS/EKS
- Experience architecting modern cloud-based data platforms leveraging Snowflake and AWS
- Strong understanding of Generative AI, LLMs, RAG, Vector Databases, AI Agents, Multi-Agent Architectures, and Agentic AI patterns
- Hands-on experience designing and deploying AI solutions using Snowflake Cortex, AWS Bedrock, and enterprise AI frameworks
- Experience integrating AI capabilities into enterprise data platforms while ensuring governance, security, and responsible AI practices
- Excellent stakeholder management, communication, and leadership skills
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
Brillio Insights
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
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