Designation: Architect - Machine LearningExperience Level: 9-17 yearsJob Location: Bangalore/ Mumbai/ Trivandrum (Hybrid)Job Summary:As a Technical Architect at Quantiphi, you are a senior technical leader who governs the qualityand strategic direction of our most critical AI initiatives on Google Cloud Platform. You'll designcomplex, enterprise-grade AI platforms spanning generative AI, agentic systems, traditional ML,and computer vision while influencing how we architect solutions across the entire practice. Thisrole is for seasoned architects who establish standards, serve as trusted advisors to C-levelexecutives, and drive technical excellence at scale.Responsibilities:Enterprise Architecture & Leadership:Design and govern large-scale, mission-critical AI platforms meeting 99.99%+ availability, security, scalability, and compliance requirementsDefine integration patterns for embedding AI across complex enterprise ecosystems including legacy systems and cloud applicationsEstablish architectural standards, conduct architecture reviews, and manage technical debt across engagementsAct as lead technical advisor for strategic client accounts, building relationships with CTOs, VPs, and Chief AI OfficersGenerative AI & Agentic Platform Architecture:Define enterprise architectures for agentic systems, multi-agent platforms, and autonomous workflow orchestration at scaleArchitect knowledge management and semantic search as integrated enterprise capabilitiesDesign model governance with formal approval workflows, compliance controls, and audit loggingTraditional ML & Computer Vision Architecture:Establish reference architectures for forecasting, recommendations, and statistical modeling at enterprise scaleDesign feature platforms and serving infrastructure for diverse ML use casesArchitect scalable computer vision platforms for document processing and visual analyticsStandards & Governance:Establish comprehensive LLMOps and MLOps standards for prompt engineering, model versioning, CI/CD, evaluation, and production monitoringDesign AI security architectures for regulated industries implementing OWASP LLM Top 10 and data protection requirementsCreate reusable frameworks and reference architectures that accelerate project deliveryClient & Practice LeadershipLead pre-sales for strategic deals including solution design and effort estimationMentor Associate Technical Architects and senior engineers; guide strategic technology decisionsContribute to thought leadership through whitepapers, case studies, and best practice documentationRequired Qualifications:Master's degree in Computer Science, Engineering, or related field (or equivalent extensive demonstrated expertise)10-15 years of progressive AI/ML experience with 5+ years in senior architecture and technical leadership rolesTrack record architecting and delivering large-scale AI platforms for Fortune 500 enterprisesProven experience as trusted technical advisor to C-level stakeholders (CTOs, VPs,Chief AI Officers) on technology strategyDeep expertise in enterprise architecture: system integration, legacy modernization, cloud-native design, and complianceComprehensive knowledge of cloud ML platforms with strong GCP expertiseStrong command of enterprise AI architectures spanning agentic systems, RAG, multi-agent platforms, knowledge management, traditional ML, and computer visionExpertise in AI security, compliance architectures, and regulatory requirements (HIPAA, GDPR, SOC 2, PCI-DSS)Preferred Qualifications:Google Cloud Professional Cloud Architect and Machine Learning Engineer certificationsPublished thought leadership including whitepapers, technical blogs, or conference presentationsDeep industry expertise in Financial Services, Healthcare, or highly regulated industriesExperience translating AI research into production systemsWhat Sets This Role Apart:Shape AI strategy for Fortune 500 enterprises across multiple domains through yourarchitectural decisions.Build trusted advisor relationships with C-level executives guiding critical technology transformations.Establish technical standards and patterns that guide dozens of projects and hundreds of engineers.Tackle complex challenges designing novel solutions that push enterprise AI boundaries while navigating real-world constraints.
Job Title
Architect Machine Learning