AI Application Developer

Job Title: AI Specialist
As a  Lead AI Engineer , you will stand at the forefront of innovation, architecting, developing, and deploying groundbreaking AI solutions that redefine what's possible. We are seeking a visionary and highly motivated Engineer eager to leverage advanced AI models and platforms to conquer complex business challenges and accelerate digital transformation in Treasury. From intelligent automation to sophisticated conversational AI, you will guide projects utilizing a modern technology stack to forge impactful, scalable applications. This role offers a unique opportunity to shape the future of AI, delivering solutions that dramatically enhance user experiences and operational efficiencies

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy,

• Best in class leave policy.
• Employee Assistance Program for you and your family members
• Accident and Term life Insurance

~ Strategic AI Solution Development:
End-to-End AI Architecture & Leadership: Lead the design, architecture, and implementation of highly scalable and robust AI-powered applications and services utilizing Python, FastAPI/Flask, FastMcp LangGraph, ADK and Google VertexAI.
Architect, integrate, and expertly fine-tune large language models, with a strategic focus on the Gemini Model, for advanced NLP tasks and cutting-edge generative AI applications.

Pioneering Conversational & Agentic AI
~ Agentic AI System Orchestration: Architect and implement advanced Agentic AI patterns, orchestrating complex AI workflows using frameworks like ADK and LangGraph to build robust, intelligent, and autonomous systems.

Scalable System Integration & Cloud Infrastructure
Drive the design and implementation of seamless API architectures and integrations with diverse internal and external systems, ensuring optimal data flow and functionality across the enterprise.
Cloud Infrastructure Leadership: Lead the deployment, management, and optimization of AI solutions on cloud platforms, leveraging services like GCP CloudRun/GKE, BigQuery, Cloud Composer, and CloudSQL for resilient data processing and infrastructure management.

Operational Excellence & Quality Assurance
Code Quality & AIOps Governance: Establish and enforce rigorous code quality standards and best practices for software development and AIOps, ensuring clean, maintainable, and well-documented code across all AI projects.
Advanced Testing & Deployment Oversight: Architect and execute comprehensive test strategies for AI solutions, leading the deployment and continuous monitoring of models in production environments, ensuring high performance and reliability.
Research & Innovation Leadership: Actively lead research into the latest advancements in AI, machine learning, and natural language processing, translating cutting-edge developments into innovative solutions and strategic initiatives.
Cross-Functional Strategic Partnership: Collaborate closely with product managers, data scientists, and other engineering leaders to define strategy, align priorities, and ensure the successful delivery of high-quality, impactful AI products that meet business objectives.

Your skills and experience

Leadership in AI Engineering: Proven experience (13+ years) in an AI Engineer role, demonstrating successful application of AI skills and advanced techniques to solve complex, real-world problems, with a track record of leading technical initiatives.

Programming & Data Science Proficiency: Expert-level proficiency in programming languages commonly used in data science, particularly Python (with libraries like scikit-learn, pandas, NumPy), SQL, etc.
Web Frameworks for APIs: Extensive experience with web frameworks like FastAPI or Flask for building robust and scalable APIs.
Google VertexAI Platform Expertise: Deep hands-on experience and proven expertise with the Google VertexAI platform.
Large Language Model (LLM) Leadership: Demonstrated expert-level experience working with large language models, particularly the Gemini Model, including fine-tuning and deployment strategies.
Conversational AI Development: Expert proficiency in developing and optimizing conversational AI solutions using platforms like Dialogflow CX.
Agentic AI Architecture & Orchestration: Solid understanding and advanced experience with Agentic AI principles, design patterns, and orchestration frameworks such as ADK and LangGraph for managing complex AI agents and workflows.
API Design, Integration & Management: Master-level experience with API design, complex integration patterns, and comprehensive management in large-scale systems.

Cloud & Data Platform Leadership
Google Cloud Platform (GCP) Expertise: Strong, demonstrable experience with Google Cloud Platform (GCP) services including CloudRun/GKE, BigQuery, GCS and CloudSQL for AI/ML workloads.
Infrastructure as Code (Nice to have): Familiarity with infrastructure as code tools like Terraform is an asset for architectural governance.

Deployment & UI/UX Oversight
AIOps Leadership: Strong familiarity and practical experience with AIOps (AI Operations) practices and tools for deploying, monitoring, and managing AI models in production environments.
UI Frameworks (Nice to have): Experience with Svelte, Angular, Django, Streamlit, or Taipy for building user interfaces is a plus for full-stack AI application development.

Strategic Problem-Solving & Analytical Acumen: Exceptional analytical and problem-solving abilities with a meticulous attention to detail, capable of translating highly complex business requirements into strategic and effective technical AI solutions.
Domain Knowledge (Preferred): Experience in the financial services industry, is highly desirable.

Educational Foundation
~ Academic Background: Bachelor’s, Master’s or PhD in a relevant quantitative field such as Computer Science, AI/ML Engineering, Statistics, Mathematics, or Engineering.

Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

Training and development to help you excel in your career.
Coaching and support from experts in your team.
A range of flexible benefits that you can tailor to suit your needs.

Please visit our company website for further information:

We strive for a culture in which we are empowered to excel together every day. Together we are Deutsche Bank Group.