Job Title Senior AI Architect - Lead Engineer VP Location Pune India Role Description The Deutsche India is seeking a talented Senior AI Architect to join our growing team At the Service Solutions and AI Domain our mission is to revolutionize our Private Bank process landscape by implementing holistic front-to-back process automation And being a Private Bank AI Centre of Excellence we are responsible for strategy building and execution of AI innovation governance and delivery across Private Bank ensuring standardization compliance and accelerated adoption of AI solutions We are dedicated to leveraging the power of data to drive innovation optimize operations and deliver exceptional value to our customers We are committed to enhancing efficiency agility and innovation with a keen focus on aligning every step of our process with the customer s needs and expectations Our dedication extends to driving innovative technologies such as AI workflow services to foster continuous improvement We aim to deliver best in class solutions across products channels brands and regions thereby transforming the way we serve our customers and setting current benchmarks in the industry As a Senior AI Solutions Architect you will be a visionary leader responsible for designing and guiding the implementation of complex enterprise-level AI solutions You will work closely with business stakeholders data scientists and engineering teams to translate strategic business objectives into scalable robust and innovative AI architectures This role demands a deep understanding of AI methodologies cloud platforms data engineering and software development best practices with a focus on leveraging the latest advancements in large language models agentic AI and conversational AI to drive significant business impact You will provide technical leadership mentor junior architects and engineers and ensure that our AI solutions are aligned with industry standards security requirements and long-term strategic goals 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 AI Solution Design Strategy Lead the architectural design and strategic roadmap for AI solutions ensuring alignment with business needs technical feasibility and scalability requirements System and Security Architecture Design comprehensive system architectures for AI solutions including robust security architectures that meet enterprise standards and compliance requirements Technical Leadership Mentorship Provide technical leadership and guidance to development teams fostering a culture of innovation excellence and continuous improvement Mentor and guide junior architects and engineers Platform Technology Selection Evaluate and recommend appropriate AI technologies frameworks and cloud services e g Google VertexAI Gemini Model Dialogflow CX ADK LangGraph GCP services to optimize solution performance cost and maintainability Enterprise Architecture Integration Design AI solutions that seamlessly integrate with existing enterprise systems data sources and business processes ensuring data integrity and security LLM Chatbot Agentic AI Architectures Architect advanced solutions leveraging large language models Gemini Model chatbot frameworks MCP and Agentic AI patterns including orchestration with LangGraphand ADK for complex problem-solving and autonomous systems API Architecture Design Define and enforce API architecture standards ensuring robust scalable and secure integration points for AI services within the broader enterprise ecosystem GCP Deployment MLOps AgentOps Architecture Define robust GCP architectures for deploying AI models and applications including CloudRun GKE BigQuery CloudSQL DataFlow and DataProc Establish comprehensive MLOps and AgentOps strategies for continuous integration delivery monitoring and governance of AI solutions Cost-Effective Solutioning Identify and implement cost-effective solutions that meet current and future business needs without compromising performance or quality AI Evaluation Frameworks Develop and implement AI evaluation frameworks to measure the performance fairness and reliability of AI models and systems Responsible AI Compliance Ensure all AI solutions adhere to principles of Responsible Secure and Ethical AI including compliance with relevant AI regulations and data privacy standards Stakeholder Engagement Communication Act as a subject matter expert effectively communicating complex technical concepts to both technical and non-technical stakeholders and influencing strategic decisions Innovation Research Drive innovation by researching emerging AI technologies methodologies and industry trends and assess their applicability to business challenges Your skills and experience Experience 13 years of progressive experience in software engineering with at least 5 years in AI ML solution architecture roles Extensive experience designing and implementing complex large-scale AI ML systems in production environments Proven track record of leading technical teams and delivering successful AI projects Technical Skills Deep expertise in Python programming and extensive experience with web frameworks like FastAPI or Flask Architectural mastery of Google VertexAI platform and its various services Profound understanding and hands-on experience with large language models specifically the Gemini Model including fine-tuning and deployment strategies Expertise in designing and implementing advanced conversational AI systems using Dialogflow CX Extensive experience with ADK or LangGraph or similar frameworks for designing and orchestrating complex AI agents and workflows Deep understanding of Agentic AI principles design patterns and system architectures Expertise in API design microservices architecture MCP architecture and enterprise integration patterns Cloud Data Architecture Architectural expertise in Google Cloud Platform GCP with services including CloudRun GKE BigQuery CloudSQL GCS and cloud composer Strong understanding of data warehousing data lakes and real-time data processing architectures Proficiency in infrastructure as code IaC tools like Terraform MLOps AgentOps Strong experience designing and implementing end-to-end MLOps and AgentOps pipelines and strategies Familiarity with CI CD practices for AI ML workloads AI Governance Ethics Demonstrated understanding of AI evaluation frameworks responsible AI principles and relevant AI regulations UI Frameworks Nice to have Experience with modern UI frameworks such as Svelte Angular Django or Streamlit to guide front-end integration Problem-Solving Analytical Skills Exceptional analytical and strategic problem-solving abilities capable of breaking down complex problems into architectural components Ability to think critically and make informed architectural decisions under pressure with a focus on cost-effectiveness Core Competencies Excellent leadership communication and interpersonal skills with the ability to influence and collaborate effectively with diverse stakeholders at all levels Strong presentation and documentation skills for conveying architectural designs and strategies Visionary mindset with a continuous learning approach to stay ahead of AI advancements Ability to manage multiple concurrent architectural initiatives and priorities effectively Team Leadership Mentorship Technical Guidance Mentorship Lead mentor and inspire a team of AI engineers and architects fostering a culture of technical excellence continuous learning and professional development This includes providing guidance on projects resolving coding issues and sharing best practices Fostering Innovation Ability to foster a culture of innovation creativity and experimentation within the AI team encouraging proactive exploration of new technologies and approaches Talent Development Commitment to mentoring and developing emerging leaders within the AI team nurturing potential and encouraging professional growth Experience in Banking Finance Domain is preferred 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

📌 Senior Ai Architect – Lead Engineer, Vp (Maharashtra)
🏢 Deutsche Bank
📍 Maharashtra