# Senior Engineer, AVP at Deutsche Bank

Deutsche Bank is hiring a Senior Engineer, AVP in Pune, India. Level rates it Builds AI ●●●●; you can [apply on Level](https://jobsbylevel.com/go/807daf8c-e4a4-4c5e-b9b0-16e8e43c5682?utm_medium=ai-agent).

AI Level 4, AI centrality 90 out of 100. Pune - Margarpatta.

## Details

- Company: [Deutsche Bank](https://jobsbylevel.com/companies/deutsche-bank)
- AI level: AI Level 4 (score 90 out of 100)
- Location: Pune - Margarpatta
- Posted: October 15, 2026
- Apply: https://jobsbylevel.com/go/807daf8c-e4a4-4c5e-b9b0-16e8e43c5682?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-engineer-avp-at-deutsche-bank-a3ee74

## Description

Job Description: Job Title: Senior Engineer, AVP Location: Pune, India Role Description A Senior Engineer is responsible for designing, developing, and delivering robust high-performance data pipelines, intelligent agentic workflows, Machine Learning Models, and cognitive solutions to solve complex business problems and accomplish organizational goals. Key responsibilities of this role include active participation in the design, development, and deployment of artificial intelligence (AI), machine learning (ML), Agentic AI, and enterprise data engineering features. This includes investigating re-use, ensuring that AI Agent/ML and ETL solutions are fit for purpose, secure, and maintainable, and ensuring they can be integrated successfully into the overall enterprise environment with clear, robust, and well-tested deployment pipelines. Assists more junior members of the team and controls their work where applicable. 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 Develops and deploys source code, including infrastructure and application-related configurations for AI/ML, Agentic AI, and large-scale data processing components, in accordance with software requirement specifications. Provides Development activities for Projects, ETL pipelines, and AI infrastructure components (i.e., Python, PySpark, GCP Vertex AI, Agentic frameworks, Machine Learning pipelines, and Infrastructure as a Code). Designs and builds Intelligent AI Agents capable of planning, tool-use, multi-agent collaboration, and executing complex reasoning tasks. Designs, develops, and maintains scalable Batch and Real-time ETL/ELT pipelines to ingest, clean, and transform massive structured and unstructured datasets. Debugs, fixes, and provides support to the L3 support team for deployed AI/ML models, data pipelines, and applications. Verifies developed source code, data transformation logic, and prompt configurations by peer reviews (4-eyes principle). Contributes to quality assurance by writing and conducting unit, integration, and evaluation testing specifically designed for both deterministic ETL pipelines and non-deterministic AI outputs (e.g., LLM evaluations). Ensures architectural changes (as defined by Enterprise/AI/Data Architects) are implemented. Contributes to problem and root cause analysis for cognitive pipelines, data pipeline bottlenecks, and ML model drift or performance degradation. Integrates software components following the integration strategy, MLOps, and DataOps guidelines. Works on technical continuous improvements across AI/ML and data modules regularly (e.g., query performance tuning, PySpark job optimization, latency optimization, context window management, cost reduction). Where applicable, develops CI/CD routines to deploy AI models, data pipelines, and agentic workflows to target environments. Provides Release Deployments on non-Production Management controlled environments. Supports creation of Software Product Training Materials, Software Product User Guides, and Software Product Deployment Instructions for AI and data systems. Collaborates with colleagues participating in other stages of the Software Development Lifecycle (SDLC), MLOps, and Data Lifecycle. Your skills and experience General Skills Bachelor of Science degree from an accredited college or university with a concentration in Computer Science, Data Science, AI, or Software Engineering (or equivalent) – with a minor in Finance, Mathematics, or Engineering. Strong analytical and problem-solving

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-engineer-avp-at-deutsche-bank-a3ee74

Source: https://jobsbylevel.com/jobs/senior-engineer-avp-at-deutsche-bank-a3ee74

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