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AI & Agentic Systems Engineering, VP

Deutsche Bank

Pune Business BayStaff
Sign in to applyVerified
Location
Pune Business Bay
Work model
On-Site
Level
Staff
Posted

Skills

AzureGenAIHugging FaceLLMPostgreSQL

About this role

Job Description

Engineer is responsible for managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration. It may also involve taking functional oversight of engineering delivery for specific departments. Work includes: •Planning and developing entire engineering solutions to accomplish business goals   •Building reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycle •Ensuring maintainability and reusability of engineering solutions •Ensuring solutions are well architected and can be integrated successfully into the end-to-end business process flow •Reviewing engineering plans and quality to drive re-use and improve engineering capability •Participating in industry forums to drive adoption of innovative technologies, tools and solutions in the Bank. About DWS At DWS, we’re capturing the opportunities of tomorrow. You can be part of a leading, client-committed, global Asset Manager, making an impact on individuals, communities, and the world. Join us on our journey, and you can shape our transformation by working side by side with industry thought-leaders and gaining new and diverse perspectives. You can share ideas and be yourself, whilst driving innovative and sustainable solutions that influence markets and behaviours for the better. Every day brings the opportunity to discover a new now, and here at DWS, you’ll be supported as you overcome challenges and reach your ambitions. This is your chance to lead an extraordinary career and invest in your future. Read more about DWS and who we are here.

Our Team

Chief Operating Office (COO) Customer Success Management (CSM) enables the successful delivery and adoption of strategic themes across DWS. The function acts as the link between business, technology, operations and enabling functions, ensuring that ideas translate into measurable business value. Through stakeholder engagement, governance, and execution support, COO CSM accelerates transformation, innovation, and operational excellence for DWS. COO CSM is a core pillar of DWS' target operating model, bringing together business, product, engineering and enabling functions to accelerate the path from opportunity identification to scalable business outcomes. The India-based engineering team is our technology innovation and delivery hub supporting rapid prototyping, research and validation of emerging AI and modern technology solutions. Working closely with business, product and technology stakeholders, the team turns early-stage ideas into reusable, scalable solutions that can progress from proof of concept to enterprise adoption. Your Key Responsibilities AI & Agentic Systems Engineering  Architect and deliver enterprise-grade AI solutions using Generative AI, Large Language Models and agentic frameworks, including AI copilots, domain-specific assistants and multi-agent workflows. Apply tools such as LangGraph, LangChain, Semantic Kernel or equivalent frameworks where suitable.  Design planning, orchestration, reviewer, evaluator and execution agents, with appropriate human-in-the-loop controls, safety mechanisms and monitoring.  Translate prioritized business and investment challenges into scalable technical architectures and production-ready AI services.  Generative AI, RAG & AI Platform Engineering  Develop LLM-powered applications using leading commercial and open-source models and platforms, such as Azure OpenAI, Google Vertex AI, Hugging Face or equivalent, applying prompt engineering, structured outputs, reasoning frameworks and autonomous workflows.  Design retrieval-augmented generation solutions using semantic and hybrid search, embeddings, enterprise knowledge bases, metadata enrichment, reranking and retrieval-quality optimization. Use vector databases, PostgreSQL with pgvector, Azure AI Search or equivalent services where beneficial.  Establish

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