About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
Key Responsibilities
Solution Design & Architecture
- Lead the design of end-to-end Agentic AI solutions for corporate banking, including digital onboarding, fraud detection, transaction intelligence, and client service automation
- Develop comprehensive architecture blueprints covering data flows, system integrations, AI/ML components, and user interfaces
- Define technical requirements and specifications that balance innovation with banking industry constraints and compliance requirements
- Create reference architectures and design patterns for reusable Agentic AI components in banking contexts
Technical Leadership & Innovation
- Evaluate and recommend AI technologies, frameworks, and platforms suitable for banking environments
- Design architectures that ensure scalability, reliability, and performance of AI systems in production banking environments
- Lead proof-of-concept initiatives to validate architectural approaches and technology selections
- Stay abreast of emerging trends in Agentic AI, generative AI, and their application in financial services
Banking Domain Integration
- Architect solutions that seamlessly integrate with existing banking systems (core banking, payment systems, risk platforms, etc.)
- Ensure designs comply with banking regulations, data privacy laws, and security standards (PCI-DSS, SOC2, etc.)
- Design for auditability, explainability, and governance of AI decision-making in regulated environments
- Collaborate with banking subject matter experts to understand business processes and constraints
Cross-Functional Collaboration
- Partner with Technical Program Managers to translate business requirements into technical designs
- Work closely with data scientists, ML engineers, and software developers to implement architectural designs
- Collaborate with security, compliance, and risk teams to ensure architectural compliance
- Engage with client technical teams to align solution architectures with their technology landscapes
Qualifications & Experience
Essential Requirements
- 8+ years in solution architecture roles, with minimum 5 years in banking/financial services technology
- Proven experience designing and implementing AI/ML solutions in production banking environments
- Deep understanding of corporate banking processes, products, and technology ecosystems
- Hands-on experience with AI technologies: machine learning platforms, LLMs, RAG architectures, autonomous agent frameworks
- Strong background in cloud architecture (AWS, Azure, GCP) and hybrid cloud deployments for regulated industries
Technical Expertise
- Banking Systems: Core banking platforms, payment systems (SWIFT, SEPA), trading systems, CRM
- AI/ML Technologies: TensorFlow, PyTorch, LangChain, AutoGPT, vector databases, MLOps tools
- Cloud & Infrastructure: Kubernetes, Docker, serverless architectures, API gateways, microservices
- Integration: REST/gRPC APIs, message queues (Kafka, RabbitMQ), ESB, event-driven architectures
- Security: OAuth, SAML, encryption, zero-trust architectures, banking security frameworks
Banking Domain Knowledge
- Corporate banking products (cash management, trade finance, lending, treasury)
- Banking regulations (Basel III, PSD2, GDPR, local compliance requirements)
- Risk management frameworks and operational risk considerations
- Data governance and lineage requirements in financial services
Professional Skills
- Excellent communication skills with ability to articulate complex architectures to both technical and non-technical stakeholders
- Strong analytical and problem-solving abilities
- Leadership skills to influence technical direction without direct authority
- Ability to create architecture documentation, diagrams, and presentations
- Mentoring capability for junior architects and engineers
Certifications (Preferred)
- AWS/Azure/GCP Solution Architect certifications
- TOGAF or other architecture framework certifications
- CISSP, CISM, or other security certifications
- Banking/financial industry certifications
Education
- Bachelor's or Master's degree in Computer Science, Engineering, or related technical field
- Advanced degree in relevant discipline preferred
Skills Required
- 8+ years in solution architecture roles
- Minimum 5 years in banking/financial services technology
- Experience designing and implementing AI/ML solutions
- Deep understanding of corporate banking processes and technology
- Experience with cloud architecture (AWS, Azure, GCP)
Centific Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Centific and has not been reviewed or approved by Centific.
-
Healthcare Strength — Feedback suggests core medical, dental, and vision coverage is comprehensive, with mental‑health support included. U.S. offerings also include HSA/FSA and are described as solid insurance options.
-
Flexible Benefits — Feedback suggests flexible hours and work‑from‑anywhere options are widely promoted, with flexible PTO available in some contexts. Learning stipends and development programs add adaptable elements to the package.
-
Parental & Family Support — Feedback suggests paid parental leave is explicitly available to all parents. This positions family leave as an accessible component of the overall package.
Centific Insights
What We Do
Zero distance innovation for GenAI creators and industries Expertly engineering platforms and curating multimodal, multilingual data, we empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable AI deployment We a team of over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We bring platforms, partners and 1.8 million vertical domain experts to create high-quality pre-trained datasets, fine-tuned industry-specific LLMs, and RAG pipelines supported by vector databases. These innovations can reduce GenAI costs by up to 80% and bring GenAI solutions to market 50% faster in 230 locales.
