Padmi
Deutsche Bank logo
Deutsche Bank

transaction monitoring · anti-financial crime

Senior Technical Architect (AI, Cloud & LLM Platforms)

MumbaiPosted 1 month ago
Software engineeringStaff+Full Time; Regular
Apply at Deutsche Bank

Opens the source posting on shine.com

Source description

About the role

View original

Role OverviewSenior Technical Architect / Vice President (AI, Cloud & LLM Platforms), VP at Deutsche Bank Group. Location: Pune, India. The Senior Technical Architect / VP is responsible for defining enterprise-wide architecture vision across AI, LLM systems, cloud, data, and distributed platforms. This role leads end-to-end technical strategy, modernization, architectural governance, and oversees delivery of scalable, secure, and high-performance AI/LLM systems. The leader collaborates with product, engineering, data, ML, and executive teams to build next-generation AI capabilities. BenefitsBest in class leave policyGender neutral parental leaves100% reimbursement under childcare assistance benefit (gender neutral)Sponsorship for industry relevant certifications and educationEmployee Assistance Program for you and your family membersComprehensive Hospitalization Insurance for you and your dependentsAccident and Term life InsuranceComplementary Health screening for 35 yrs. and aboveArchitectural LeadershipOwn enterprise architecture vision across AI, LLM, cloud, data, and application stack.Define reference architecture, engineering standards, best practices, and technology roadmaps.Lead design governance, modernization programs, and cross-platform architecture reviews.Architect secure, scalable, highly available distributed systems.AI & Data Platform ArchitectureArchitect large-scale AI platforms including ML pipelines, inference systems, and MLOps workflows.Define data ingestion, feature store, orchestration, and AI observability frameworks.Lead architecture of real-time analytics, streaming pipelines, and distributed AI workloads.Cloud & Infrastructure StrategyArchitect cloud-native platforms using AWS, GCP, or Azure.Govern IaC, DevOps, CI/CD workflows, container orchestration, and multicloud strategies.Drive performance optimization, cloud security, resiliency, and cost governance.LLM Systems ResponsibilitiesArchitect end-to-end LLM systems including RAG pipelines, prompt orchestration, and scalable inference.Define enterprise patterns for hosting, finetuning, optimizing, and deploying LLMs.Establish governance for LLM evaluation, safety, quality metrics, and hallucination reduction.Lead architecture for structured/unstructured data ingestion, embedding pipelines, and vector databases.Design LLM-powered agents, tool-use orchestrators, and workflow automation layers.Oversee prompt engineering standards, reusable libraries, and guardrail-enabled prompts.Implement LLM observability: drift detection, token usage, latency, and cost optimization.Define frameworks for responsible AI: bias, fairness, compliance, toxicity control, auditability.Engineering Excellence & StrategyLead design of mission-critical systems with strong performance, availability, and fault tolerance.Evaluate emerging AI/LLM, cloud, and DevOps technologies for enterprise adoption.Drive engineering standards, coding guidelines, performance benchmarks, and operational best practices.Stakeholder & Team LeadershipAdvise senior leadership on technology strategy and investments.Mentor architects, principal engineers, and technical leaders.Align globally distributed engineering teams to architectural direction.Ensure compliance with regulatory, audit, and security requirements.Skills and Experience12+ years of enterprise architecture, AI, cloud, or large-scale engineering leadership.Expertise with distributed systems, microservices, API-first design, and event-driven architectures.Strong hands-on knowledge of LLM/AI architecture, RAG, vector search, and inference optimization.Proficiency in Python, Java, or Node.js for architecture prototyping.Deep experience with Kubernetes, Docker, Terraform, Helm, cloud networking & security.Strong understanding of ML workflows, MLOps frameworks, model registries, and monitoring.Experience with big data tools (Kafka, Spark, NoSQL systems).Excellent leadership, communication, and executive stakeholder management skills.Training and SupportTraining and development to help you excel in your career.Coaching and support from experts in your team.A culture of continuous learning to aid progression.A range of flexible benefits that you can tailor to suit your needs.About UsVisit our company website for further information: https://www.db.com/company/company.html We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. We welcome applications from all people and promote a positive, fair and inclusive work environment. .

One address, no account. We’ll tell you when matching roles go live.

More at Deutsche Bank

Related open roles

View all roles