AI Specialist
Deutsche Bank · Pune, India · 1mo ago
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
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.
Technical Mastery & Specialization
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.
Leadership & Strategic Competencies
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.
Executive Communication & Collaboration: Outstanding communication and collaboration skills, with the ability to lead cross-functional teams, influence stakeholders at all levels, and articulate complex technical concepts and strategic visions clearly.
Proactive Innovation & Motivation: Highly proactive and self-motivated with a demonstrable passion for continuous learning, driving innovation, and embracing new technologies as a technical leader.
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.
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.