Bengaluru, India, India
127 days ago
Chief Software Architect
Introduction

SymphonyAI Financial Services builds advanced AI-powered software to combat financial crime and support compliance for global banks and institutions. As we transition from our flagship platform NetReveal to a next-generation SaaS-based product suite, we're evolving our architecture to support scale, speed, and innovation in highly regulated environments. 

 

We’re seeking a Chief Architect with deep AI expertise and proven experience building financial crime (FC) platforms (AML, sanctions, fraud, KYC/KYB, adverse media, investigations). You will lead our Architecture Chapter and set the endtoend technical strategy for an AIfirst, multitenant SaaS platform—spanning data fabric and ontology, streaming/realtime detection, MLOps and model risk management, LLM/RAG/multiagent capabilities, explainability, and auditability. 

You will shape the evolution of both our legacy and nextgen platforms, ensuring robust, compliant, and performant solutions to build our new generation of products on an AI led compliance native architecture. 


Job Description

Position Summary

We are seeking an exceptional, hands-on Chief Architect to serve as the technical visionary and architectural authority for SymphonyAI's Financial Services business unit. Reporting directly to the Chief Technology Officer, this role will define and govern the end-to-end architecture across all SymphonyAI financial services applications, AI systems, data platform, and cloud infrastructure. The Chief Architect will be responsible for establishing architectural standards, ensuring technical excellence, and driving the evolution of our AI-first platform architecture to deliver market-leading financial risk and compliance management solutions.

This is a strategic leadership position that requires deep technical expertise, systems thinking, and the ability to translate complex business requirements into scalable, secure, and compliant architectural solutions. The successful candidate will bridge cutting-edge AI technology with enterprise financial services requirements while ensuring architectural coherence across our entire product portfolio. Experience designing enterprise scale, high volume transaction systems for Tier 1 Banking, Fintech, Payment Providers a plus.

Key Responsibilities

Strategic Architecture Leadership

Enterprise Architecture Vision: Define and maintain the overall architectural vision, strategy, and roadmap for all SymphonyAI financial services applications, ensuring alignment with business objectives and technology strategy set by the CTOAI-First Architecture: Lead the design and evolution of AI-first system architectures that integrate predictive AI, generative AI, and agentic AI capabilities into financial crime prevention and compliance applicationsPlatform Architecture Strategy: Drive the architectural evolution from legacy systems to modern cloud-native, multi-tenant SaaS platform architecture, ensuring scalability, performance, security, and regulatory complianceTechnology Standards & Governance: Establish and enforce architectural standards, design patterns, technology selection criteria, and architectural governance processes across all product development initiativesInnovation & Emerging Technology: Evaluate emerging technologies (including LLMs, agentic AI frameworks, vector databases, and advanced AI/ML platforms) and define strategies for incorporating them into the product architecture

Architecture Design & Execution

Solution Architecture: Lead the design and review of complex system architectures for high-volume, high-velocity financial transaction processing, real-time risk decisioning, and compliance automationMulti-Agent Systems Architecture: Design production-ready, multi-agent AI systems that enable orchestrated workflows, autonomous decisioning, and human-in-the-loop capabilities for financial risk and compliance applicationsData Architecture: Define comprehensive data architecture strategies including data modeling, ontology frameworks, data pipelines, data lakes, data warehouses, and real-time data streaming architecturesIntegration Architecture: Design API-first integration strategies, microservices architectures, and event-driven patterns to support seamless connectivity with financial institution ecosystems and third-party servicesCloud Infrastructure Architecture: Lead cloud-native architecture design for hybrid and multi-cloud environments (AWS, Azure, GCP), ensuring optimal performance, cost-effectiveness, security, and disaster recovery capabilitiesSecurity Architecture: Collaborate with InfoSec and Compliance teams to ensure all architectural solutions meet stringent regulatory requirements, data privacy standards (GDPR, CCPA, SOC2), and zero-trust security principles

Technical Governance & Quality Assurance

Architecture Review Boards: Establish and lead Architecture Review Board (ARB) processes to evaluate project architectures, ensure compliance with standards, and approve architectural decisions and exceptionsTechnical Debt Management: Develop and implement frameworks to assess, score, prioritize, and remediate architectural and technical debt across the enterprise application portfolioArchitecture Assurance: Ensure technical integrity of all designs, identify reusable architectural components, eliminate unnecessary duplication, and maintain architectural consistency across productsPerformance & Scalability: Define performance benchmarks, scalability requirements, and optimization strategies to ensure systems meet enterprise-scale deployment requirementsQuality Standards: Establish architecture quality metrics, conduct architectural reviews at key milestones, and ensure adherence to engineering best practices

Cross-Functional Collaboration & Leadership

CTO Partnership: Serve as the CTO's trusted technical advisor and right-hand partner on all architectural matters, translating strategic technology vision into executable architectural blueprintsEngineering Team Collaboration: Partner closely with engineering leaders, development teams, data science teams, and DevOps teams to ensure architectural principles are understood and implemented correctlyProduct Management Alignment: Collaborate with Product Management to translate business requirements and feature roadmaps into technical architecture specifications and ensure feasibility of product initiativesStakeholder Communication: Communicate complex architectural concepts to both technical and non-technical audiences, including executive leadership, engineering teams, and external partnersArchitecture Team Leadership: Build and mentor a team of solution architects, data architects, security architects, and infrastructure architects, fostering a culture of technical excellence and continuous learning

AI & Machine Learning Architecture

ML Platform Architecture: Design and oversee scalable machine learning infrastructure that supports model training, deployment, monitoring, and continuous improvement for real-time transaction monitoring and risk assessmentMLOps Framework: Define MLOps practices, CI/CD pipelines for models, model versioning, model governance, and model observability frameworksResponsible AI Architecture: Ensure AI architectures incorporate explainability, transparency, fairness, bias detection, and model risk management capabilities to meet regulatory confidence requirementsOntology & Knowledge Graphs: Lead the design of industry-leading ontology frameworks and knowledge graph architectures for financial services data operationsAI User Experience Architecture: Define architectural patterns for delivering AI-first user experiences across different user personas (investigators, analysts, compliance officers, executives)

Platform Modernization & Transformation

Legacy System Migration: Architect phased migration strategies to transition from legacy systems to modern platform architecture while maintaining operational continuity and minimal customer disruptionMicroservices Transformation: Lead the decomposition of monolithic applications into microservices architectures with clear service boundaries, API contracts, and dependency managementContainerization & Orchestration: Define container strategies using Docker and Kubernetes, including service mesh architectures, container security, and orchestration patternsDevOps & CI/CD Architecture: Establish continuous integration and continuous deployment pipeline architectures, infrastructure-as-code practices, and automated testing frameworks

 

Required Qualifications

Education & Experience

Bachelor's degree in Computer Science, Engineering, or related technical field; Master's degree strongly preferred12+ years of progressive technology experience with deep expertise in enterprise software architecture7+ years in senior architecture roles (Chief Architect, Principal Architect, Enterprise Architect, or equivalent)5+ years of experience in FinTech, financial services, or payments technology with exposure to financial crime prevention, compliance, or risk management systemsHands-on experience designing enterprise scale, high volume transaction systems for Tier 1 Banking, Fintech, Payment Providers

Technical Expertise

Enterprise Architecture Mastery: Deep expertise in enterprise architecture frameworks (TOGAF, Zachman), architecture governance models, and large-scale system design patternsSaaS Architecture: Proven experience designing and scaling multi-tenant SaaS platforms, with specific experience in financial services applications and regulatory compliance requirementsAI/ML Architecture: Extensive knowledge of AI/ML architectures, including deep learning frameworks (PyTorch, TensorFlow), LLM architectures, RAG (Retrieval-Augmented Generation) patterns, agentic AI systems, and ML platform engineeringCloud Architecture Expertise: Expert-level experience with major cloud platforms (AWS, Azure, GCP), cloud-native architecture patterns, serverless computing, and cloud cost optimizationData Architecture: Strong expertise in data modeling, data warehousing (Snowflake, Redshift, BigQuery), data lakes, real-time streaming (Kafka, Kinesis), and modern data stack architecturesMicroservices & APIs: Deep understanding of microservices architectures, RESTful and GraphQL API design, event-driven architectures, and service mesh technologies (Istio, Linkerd)DevOps & Infrastructure: Strong knowledge of CI/CD pipelines, infrastructure-as-code (Terraform, CloudFormation), containerization (Docker, Kubernetes), and GitOps practices

Architecture Leadership Skills

Systems Thinking: Exceptional ability to understand complex interdependencies across business units, platforms, and technologies, and design coherent end-to-end solutionsStrategic Vision: Demonstrated ability to translate business strategy into multi-year technical architecture roadmaps that balance innovation with pragmatismTechnical Communication: Outstanding ability to communicate complex technical concepts to diverse audiences, from developers to C-suite executives and board membersDecision Making: Strong analytical and decision-making skills with ability to evaluate trade-offs and make architectural decisions based on multiple variables and constraintsInfluence & Collaboration: Proven ability to influence without direct authority, build consensus across distributed teams, and drive architectural standards adoption

Regulatory & Domain Knowledge

Financial Services Expertise: Deep understanding of financial services technology stack including payment processing, transaction monitoring, regulatory reporting, and compliance systems to Tier 1 Banks, Fintechs, etc. Regulatory Architecture: Experience designing systems that meet regulatory requirements including AML, KYC, sanctions screening, fraud detection, and audit trail requirementsData Privacy & Security: Expertise in data governance, privacy regulations (GDPR, CCPA, SOC2), security architecture patterns, and secure data handling in financial services

 

 

Preferred Qualifications

Advanced Technical Skills

Hands-on experience with agentic AI architectures, autonomous agent frameworks (LangChain, AutoGen, CrewAI), and multi-agent orchestration patternsExperience with vector databases (Pinecone, Weaviate, ChromaDB) and embedding architectures for semantic search and RAG applicationsAdvanced certifications in cloud platforms (AWS Solutions Architect Professional, Azure Solutions Architect Expert, GCP Professional Cloud Architect)Experience with graph databases (Neo4j, TigerGraph) and knowledge graph architectures for financial services ontologies

Industry Experience

Prior experience architecting core banking systems, payment platforms, credit decisioning engines, or fraud detection systemsBackground in RegTech or compliance technology architecture with understanding of regulatory technology requirementsExperience with blockchain and cryptocurrency architectures, particularly for transaction monitoring and compliance applicationsFamiliarity with real-time decisioning architectures and complex event processing (CEP) systems

Leadership Experience

Experience building and leading distributed architecture teams across onshore and offshore locationsTrack record of architecting systems that successfully scaled from startup through enterprise scalePublished thought leadership in architecture, AI, financial technology, or compliance domains through conferences, blogs, or technical papersActive participation in industry standards bodies, open-source communities, or technology advisory boards

 


About Us

SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.

Visit here, for more information about how we hire, what’s in it for you, our culture and values

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