onsite
16h ago
Salary Undisclosed
ApplyBack to JobsMinimum 14 years of IT industry experience with strong hands-on expertise in Java and full-stack development Deep knowledge of Java, Spring Boot, REST APIs, microservices architecture , and modern front-end frameworks (e.g., ReactJS) Strong experience in databases (Oracle, PostgreSQL, NoSQL) and solid understanding of data modeling, performance optimization Hands-on experience with cloud platforms (GCP preferred, AWS/Azure) and containerization (Kubernetes, OpenShift) Strong understanding of distributed systems, system design, and scalable architecture patterns Experience in DevOps and CI/CD practices (Jenkins, GitHub Actions), with focus on automation and reliability Strong focus on engineering quality (TDD, BDD, automation testing, performance testing) Experience or strong exposure to AI/ML and Generative AI use cases within enterprise environments Hands-on or working knowledge of LLM-based applications , including prompt engineering and Agentic AI workflows Experience using AI-assisted development tools (e.g., coding assistants) and Spec driven development Understanding of AI/ML lifecycle concepts (MLOps) including model deployment, monitoring, and governance Awareness of data and architecture patterns for AI-enabled systems , including real-time inference and vector data stores Understanding of Responsible AI principles , especially in regulated environments (e.g., banking, finance) Strong problem-solving skills with a hands-on leadership approach Experience working closely with Business stakeholders, Product Owners, Architects Growth mindset with focus on continuous learning, upskilling, and team development Certifications: Relevant certifications in Data Science, Analytics, etc. Industry Knowledge: Experience working in the financial services industry, preferably in a global bank setting. Cloud Computing: Familiarity with cloud computing platforms (e.g., GCP, AWS, Azure).
VP: Java Engineering Lead AI
onsiteFull-timeNot SpecifiedSalary Undisclosed
About the role
Description
We are seeking an experienced AI Technology Lead to lead our Artificial Intelligence(AI) strategy, development, and implementation across the function. The successful candidate will work in collaboration with other business functions and departments and will be responsible for designing, developing, and deploying AI solutions, which are in-line with bank’s AI strategy and which drive business value, improve operational efficiency, and enhance customer experience.
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 child care assistance benefit (gender neutral)
Flexible working arrangements
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 Planning and Leadership
Develop and execute the AI strategy aligned with the bank's overall technology vision and objectives.
Collaborate with cross-functional teams to identify opportunities for AI adoption and prioritize projects.
Provide technical leadership and guidance to the AI development team.
AI Development and Deployment
Design, develop, and deploy AI models and algorithms that meet business requirements and regulatory standards.
Lead the development of AI-powered solutions for various business domains, including P&L accounting, and process automation.
Ensure seamless integration with existing systems and data platforms.
Research and Innovation
Stay up-to-date with the latest advancements in AI and machine learning (ML) technologies.
Collaborate with other divisions and central AI teams to identify emerging trends and technologies that can benefit the division.
Develop proof-of-concept projects and pilots to explore new AI applications.
Data Management and Analytics
Ensure data quality, security, and governance for AI model development and deployment.
Collaborate with the data analytics team to develop and implement data-driven insights and recommendations.
Regulatory Compliance and Risk Management
Ensure that all AI solutions comply with regulatory requirements and industry standards.
Conduct regular risk assessments to identify potential vulnerabilities and mitigate them proactively.
Collaboration and Communication
Collaborate with stakeholders across the organization to ensure alignment and buy-in for AI initiatives.
Communicate technical results and recommendations to non-technical stakeholders through clear and concise language.
Your Skills and Experience
Education and Experience
Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
Minimum 5+ years of experience in AI, ML, or data science, with at least 2+ years in a leadership role.
Core Engineering
AI & Next-Gen Engineering Capabilities
Leadership
Good to Have
If you are an AI expert looking for a challenging role that will drive innovation and growth, please submit your application.
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
VP: Java Engineering Lead AI
Deutsche Bank