Senior Technical Architect / Vice President (AI, Cloud & LLM Platforms), VP
Deutsche Bank · Pune Division, Maharashtra, India
- On site
- Full-time
- ₹2,500,000 / year
- Pune Division, Maharashtra, India
Job highlights
- Lead AI, LLM, cloud, and data platform architecture vision.
- Define enterprise-wide technical strategy and modernization.
- Architect secure, scalable, and high-performance AI/LLM systems.
- Collaborate with product, engineering, and executive teams.
- Drive adoption of emerging AI/LLM and cloud technologies.
About the role
Senior Technical Architect / Vice President (AI, Cloud & LLM Platforms), VP
Position Overview
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.
What We’ll Offer You
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy:
- Best in class leave policy
- Gender neutral parental leaves
- 100% reimbursement under childcare assistance benefit (gender neutral)
- Sponsorship for Industry relevant certifications and education
- Employee Assistance Program for you and your family members
- Comprehensive Hospitalization Insurance for you and your dependents
- Accident and Term life Insurance
- Complementary Health screening for 35 yrs. and above
Your Key Responsibilities
Architectural Leadership
- Own 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 Architecture
- Architect 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 Strategy
- Architect cloud‑native platforms using AWS, GCP, or Azure.
- Govern IaC, DevOps, CI/CD workflows, container orchestration, and multi‑cloud strategies.
- Drive performance optimization, cloud security, resiliency, and cost governance.
LLM Systems Responsibilities
- Architect end‑to‑end LLM systems including RAG pipelines, prompt orchestration, and scalable inference.
- Define enterprise patterns for hosting, fine‑tuning, 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 & Strategy
- Lead 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 Leadership
- Advise 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.
Your Skills And Experience
- 12–20+ 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.
How We’ll Support You
- Training 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 Us And Our Teams
Please visit 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. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.
Key skills/competency
- Senior Technical Architect
- VP AI
- Cloud Architecture
- LLM Platforms
- Enterprise Architecture
- Distributed Systems
- MLOps
- DevOps
- Cloud Native
- Stakeholder Management
Skills & topics
- Senior Technical Architect
- VP AI
- Cloud Architecture
- LLM Platforms
- Enterprise Architecture
- Distributed Systems
- MLOps
- DevOps
- Cloud Native
- Stakeholder Management
- AI
- Cloud
- LLM
- AWS
- GCP
- Azure
- Kubernetes
- Docker
- Terraform
- Python
- Java
- Node.js
- Kafka
- Spark
- NoSQL
How to get hired
- Tailor your resume: Highlight your 12-20+ years of experience in enterprise architecture, AI, cloud, and LLM platforms. Emphasize leadership, distributed systems, and MLOps expertise.
- Showcase technical skills: Detail your hands-on experience with LLM/AI architecture, RAG, vector search, inference optimization, and proficiency in Python, Java, or Node.js.
- Demonstrate leadership: Provide examples of mentoring teams, advising senior leadership, and driving architectural governance and strategy for large-scale systems.
- Understand Deutsche Bank: Research their commitment to innovation in AI, cloud, and LLM, and how your skills align with their values of responsibility, commercial thinking, and collaboration.
Technical preparation
Master cloud architectures (AWS, GCP, Azure).,Deep dive into LLM systems and RAG pipelines.,Practice IaC, CI/CD, and container orchestration.,Prepare to discuss distributed systems patterns.
Behavioral questions
Describe a complex architectural challenge.,How do you advise senior leadership on tech?,Explain your mentoring approach for engineers.,How do you ensure architectural alignment globally?
Frequently asked questions
- What are the primary responsibilities of a Senior Technical Architect VP at Deutsche Bank?
- The Senior Technical Architect VP at Deutsche Bank is responsible for defining the enterprise-wide architecture vision for AI, LLM systems, cloud, data, and distributed platforms. This includes leading technical strategy, modernization efforts, architectural governance, and overseeing the delivery of scalable and secure AI/LLM systems, while collaborating with various teams.
- What level of experience is required for the Senior Technical Architect VP role at Deutsche Bank?
- Deutsche Bank requires 12-20+ years of experience in enterprise architecture, AI, cloud, or large-scale engineering leadership for this Senior Technical Architect VP position. This extensive experience ensures a deep understanding of complex systems and strategic decision-making.
- What specific AI and LLM technologies will this role focus on at Deutsche Bank?
- This role at Deutsche Bank will focus on architecting large-scale AI platforms, including ML pipelines, inference systems, MLOps workflows, and end-to-end LLM systems such as RAG pipelines, prompt orchestration, and scalable inference. It also involves defining enterprise patterns for LLM deployment and governance.
- Does Deutsche Bank offer opportunities for professional development for this role?
- Yes, Deutsche Bank supports professional development through sponsorship for industry-relevant certifications and education. They also provide training and development programs, coaching, and a culture of continuous learning to help employees excel in their careers.
- What cloud platforms are utilized for the Senior Technical Architect VP role at Deutsche Bank?
- The Senior Technical Architect VP role at Deutsche Bank involves architecting cloud-native platforms using major cloud providers such as AWS, GCP, or Azure. This requires expertise in cloud infrastructure, IaC, DevOps, and multi-cloud strategies.
- How does Deutsche Bank ensure responsible AI development within this role?
- Deutsche Bank ensures responsible AI development by having the Senior Technical Architect VP define frameworks for responsible AI, covering bias, fairness, compliance, toxicity control, and auditability. This includes establishing governance for LLM evaluation, safety, and quality metrics.