AI Specialist

Position Overview

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 redefinewhat'spossible. We are seeking a visionary and highly motivated Engineer eager toleverageadvanced 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 projectsutilizinga 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 servicesutilizingPython,FastAPI/Flask, FastMcp LangGraph, ADK and GoogleVertexAI.
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 andcutting-edgegenerative AI applications.

Pioneering Conversational & Agentic AI

Agentic AI System Orchestration: Architect and implement advanced Agentic AI patterns, orchestrating complex AI workflows using frameworks likeADK andLangGraphto 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, ensuringoptimaldata flow and functionality across the enterprise.
Cloud Infrastructure Leadership: Lead the deployment, management, and optimization of AI solutions on cloud platforms,leveragingservices like GCPCloudRun/GKE,BigQuery,Cloud Composer,andCloudSQLfor resilient data processing and infrastructure management.

Operational Excellence & Quality Assurance

Code Quality &AIOps Governance: Establishand enforce rigorous code quality standards and best practices for software development andAIOps, ensuring clean, maintainable, and well-documented code across all AI projects.
Advanced Testing & Deployment Oversight: Architect and execute comprehensive test strategies for AI solutions,leadingthe 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, translatingcutting-edgedevelopments 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 businessobjectives.

Your skills and experience

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

Technical Mastery & Specialization

Programming & Data Science Proficiency: Expert-levelproficiencyin programming languages commonly used in data science, particularly Python (with libraries likescikit-learn, pandas, NumPy), SQL, etc.
Web Frameworks for APIs: Extensive experience with web frameworks likeFastAPIor Flask for building robust and scalable APIs.
GoogleVertexAIPlatform Expertise: Deep hands-on experience and provenexpertisewith the GoogleVertexAIplatform.
Large Language Model (LLM) Leadership: Demonstratedexpert-level experience working with large language models, particularly the Gemini Model, including fine-tuning and deployment strategies.
Conversational AI Development: Expertproficiencyin developing andoptimizingconversational AI solutions using platforms likeDialogflowCX.
Agentic AI Architecture & Orchestration: Solid understanding and advanced experience with Agentic AI principles, design patterns, and orchestration frameworks such asADK andLangGraphfor 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 includingCloudRun/GKE,BigQuery,GCSandCloudSQLfor AI/ML workloads.
Infrastructure as Code (Nice to have): Familiarity with infrastructure as code tools like Terraform isan assetfor architectural governance.

Deployment & UI/UX Oversight

AIOps Leadership: Strong familiarity and practical experience withAIOps (AIOperations) practices and tools for deploying,monitoring, and managing AI models in production environments.
UI Frameworks (Nice to have): Experience with Svelte, Angular, Django,Streamlit, orTaipyfor 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 translatinghighly complexbusiness 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 embracingnew technologiesas a technical leader.
Domain Knowledge (Preferred):Experience in the financial services industry, is highly desirable.

Educational Foundation

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

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:

We strive for a 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.