Full-Time
Senior AI Engineer
AVP
Posted on 5/12/2026
Deutsche Bank
10,001+ employees
Global bank offering investment, asset, retail.
No salary listed
Pune, Maharashtra, India
In Person
 Software Engineering (1) |
|---|
- Bachelor’s, Master’s, or PhD in Computer Science, AI/ML Engineering, Statistics, Mathematics, or Engineering.
- Proven experience (8+ years) in an AI Engineer role, demonstrating the successful application of AI skills and techniques to solve complex, real-world problems.
- Strong proficiency in Python, with libraries such as scikit-learn, pandas, NumPy; SQL.
- Extensive experience with web frameworks like FastAPI or Flask for building robust and scalable APIs.
- Hands-on experience with Google VertexAI platform.
- Demonstrated experience working with large language models, with expertise in the Gemini Model.
- Proficiency in developing and optimizing conversational AI solutions using Dialogflow CX.
- Solid understanding and familiarity with Agentic AI principles, design patterns, and orchestration frameworks such as ADK and LangGraph.
- Extensive experience with API design, integration, and comprehensive management.
- Strong experience with Google Cloud Platform services including CloudRun/GKE, BigQuery, and CloudSQL.
- Familiarity with infrastructure as code tools like Terraform is an asset.
- AgentOps practices and tools for deploying and managing AI models.
- Proficiency in UI frameworks such as Svelte, Angular, Django, Streamlit, or Taipy is a plus.
- Excellent analytical and problem-solving abilities, attention to detail.
- Strong communication and collaboration skills.
- Proactive and self-motivated with a passion for continuous learning.
- Ability to manage multiple priorities and deliver on deadlines.
- Domain knowledge in financial services, particularly Private Banking, is highly desirable.
- Lead the design, development, and implementation of robust AI-powered applications and services utilizing Python, FastAPI/Flask, and Google VertexAI.
- Expertly integrate and fine-tune large language models, with a specific focus on the Gemini Model, for a diverse range of NLP tasks and generative AI applications.
- Architect and enhance sophisticated conversational AI agents using Dialogflow CX, specializing in advanced natural language understanding and response generation.
- Implement Agentic AI patterns and orchestrate complex AI workflows using frameworks like ADK and LangGraph to build robust, intelligent, and autonomous systems.
- Design and implement seamless API integrations with various internal and external systems, ensuring optimal data flow and functionality across the ecosystem.
- Lead the deployment and management of AI solutions on cloud platforms, leveraging services like GCP CloudRun/GKE, BigQuery, CloudSQL, Cloud Composer, and GCS for resilient data processing and infrastructure management.
- Champion the adherence to and implementation of clean, maintainable, and well-documented code, strictly following best practices for software development and AgentOps.
- Develop and execute comprehensive test strategies for AI solutions, actively assisting in the efficient deployment and continuous monitoring of models within production environments.
- Proactively stay current with the latest advancements in AI, machine learning, and natural language processing, driving the proposal and implementation of innovative solutions.
- Work closely with product managers, data scientists, and other engineering teams to ensure the successful delivery of high-quality, impactful AI products.
- 8+ years of AI Engineering experience (if not already in requirements)
- Experience in the financial services industry, particularly Private Banking, is highly desirable.
- Bonus: Terraform automation/infrastructure as code experience.
- Experience with UI development frameworks like Svelte, Angular, Django, Streamlit, or Taipy is a plus.
Deutsche Bank provides global financial services including investment banking, asset management, and retail banking for individuals, businesses, and institutions. It earns income through loan interest, fees, and trading and investment revenue, while applying AI and cloud technology to improve efficiency and client offerings. The bank differentiates itself by combining traditional banking with deep technology integration and a strong focus on ESG, sustainable finance, and support for entrepreneurs during economic crises. Its goal is to deliver comprehensive financial solutions across client segments, promote responsible investing, and help clients navigate economic challenges.
Company Size
10,001+
Company Stage
IPO
Headquarters
Frankfurt, Germany
Founded
1870
Simplify's Take
What believers are saying
- Q1 2026 net profit jumped 8% to €1.9B, beating analyst expectations.
- Investment banking positioned to capitalize on rising equity capital markets activity.
- Elliptic investment enhances crypto compliance capabilities as institutions expand digital assets.
What critics are saying
- DWS spin-off since 2018 dilutes asset management fees through independent consolidation.
- US dollar weakness from Middle East conflict compresses Investment Bank revenues.
- Postbank integration failures drive retail clients to digital-first competitors like N26.
What makes Deutsche Bank unique
- Global transaction banking leader with cross-border payments and trade finance expertise.
- DWS asset management arm pioneering digital assets and blockchain investment solutions.
- Wealth management presence in premium hubs: Switzerland, Luxembourg, Cayman Islands, Dubai.
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Benefits
Health Insurance
Paid Vacation
Parental Leave
Family Planning Benefits
Professional Development Budget
Mental Health Support
Flexible Work Hours
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