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Job details
Qualification
Bachelor's
Job ID
R0441888
Job description
Job Description: Job Title: AI Specialist Corporate Title: Vice President Location: Pune, India
Role Description
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
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
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.
Advanced Model Integration & Optimization: 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
API Architecture & Integration: 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.
Thought Leadership & Cross-Functional Collaboration:
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
Proven experience (13+ years) in Technology industry (preferably Banking domain)
Expertise in solving complex, real-world problems, with a track record of leading AI technical initiatives and implementation.
Extensive hands-on software engineering experience, including the design and delivery of enterprise-scale distributed applications and production-grade AI or Generative AI solutions.
Deep expertise in Python or Java engineering skills and practical experience with API, microservices and asynchronous application design; experience with FastAPI, Spring Boot or comparable frameworks is beneficial.
Strong experience with BigQuery and PostgreSQL, cloud-native architectures, Git-based development, CI/CD, Docker, Kubernetes, infrastructure as code, observability and automated testing; practical knowledge of GitHub or Azure DevOps, Terraform and OpenTelemetry is beneficial.
Practical expertise in LLM applications, AI agents, RAG architectures, vector databases, semantic or hybrid search, model evaluation and LLMOps, with hands-on experience in relevant orchestration, evaluation and observability tools.
Solid grounding in machine learning, feature engineering, model explainability and analytical modelling, using relevant Python ML libraries.
Strong understanding of financial markets and investment products is highly desirable, with experience in Investment Banking / Treasury.
Strong engineering mindset and ownership mentality, with sound judgement and the ability to structure ambiguity, solve complex problems, make pragmatic technical decisions and balance delivery speed, quality, risk, maintainability and long-term scalability.
Excellent stakeholder management, communication and collaboration skills, with the ability to understand business needs, translate them into clear technical choices, manage expectations, influence decisions and build trusted relationships across business, product, technology and control functions.
Demonstrated technical leadership, including the ability to set direction, lead by example, mentor and develop engineers, provide constructive challenge, drive accountability and foster an inclusive culture of learning, experimentation and engineering excellence.
Ability to lead delivery across the engineering lifecycle, establish fit-for-purpose standards and working practices, manage dependencies and trade-offs, and maintain focus on measurable business and user outcomes.
Bachelor’s degree in Computer Science, Engineering, Science or a related discipline, or equivalent professional experience
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.
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.
