Job Title: Senior Business AI Engineer
Corporate Title: Vice President
Location: Pune, India
Role Description
We are looking for a senior professional who can lead the safe and effective use of AI in business-critical systems. In this role, you will define how AI is applied to business workflows, ensuring outputs are reliable, explainable, and aligned with business rules.
You will build and enforce guardrails, define validation patterns, and design orchestration layers where AI and business logic work together seamlessly.
You will also establish frameworks to detect and manage issues like model drift and prompt drift, ensuring AI systems remain trustworthy and production-ready over time. This is a leadership role focused on making AI a reliable, explainable, and accountable component of business-critical Credit Risk platforms.
You are expected to work closely with business stakeholders, risk teams, and engineering groups to deliver practical AI solutions that are aligned with regulatory, operational, and domain-specific requirements.
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
- Define AI Application Strategy: Determine how and where AI should be applied across business workflows in the Counterparty Dashboard, Security Service, and CPA/CDA platforms.
- Build Guardrails & Validation Patterns: Design and enforce safety guardrails, validation layers, and policy checks to ensure AI outputs are reliable, explainable, and aligned with business rules.
- Orchestration Layer Design: Architect orchestration layers where AI components and deterministic business logic work together, ensuring traceability and auditability of decisions.
- Drift Detection & Management: Establish frameworks and monitoring strategies to detect and remediate model drift, prompt drift, and data drift in production environments.
- Reliability & Explainability: Ensure AI-driven outputs are interpretable, auditable, and aligned with risk and compliance requirements typical of financial services.
- Stakeholder Collaboration: Partner with business stakeholders, risk officers, product owners, and engineering teams to translate business needs into safe, production-grade AI solutions.
- Engineering Leadership: Provide technical leadership to Java engineering teams building services for counterparty risk, security, and client/product data platforms.
- Production Readiness: Drive standards for testing, deployment, observability, and incident response for AI-augmented services.
- Mentorship: Mentor senior and mid-level engineers on AI integration patterns, secure design, and best practices for trustworthy AI in regulated environments.
Your skills and experience
Core Engineering
- 9–12 years of hands-on experience in software engineering, with deep expertise in Java and the Spring / Spring Boot ecosystem.
- Strong experience designing and building distributed, high-throughput, low-latency backend services.
- Proven experience with microservices architecture , REST APIs, event-driven systems (Kafka or similar), and relational/NoSQL databases.
- Experience with CI/CD pipelines , containerization (Docker/Kubernetes), and cloud platforms (AWS / Azure / GCP).
AI & ML Integration
- Practical knowledge of AI/LLM concepts : prompts, embeddings, retrieval-augmented generation (RAG), and model orchestration.
- Experience designing guardrails, validation patterns, and policy enforcement for AI outputs.
- Understanding of orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, or equivalent custom orchestration).
- Familiarity with model/prompt drift detection , evaluation pipelines, and observability for AI systems.
- Awareness of responsible AI principles — explainability, fairness, traceability, and auditability.
Business Domain Knowledge
- Strong understanding of financial services domains , ideally counterparty risk, security services, CPA/CDA , or similar workflow-driven systems.
- Familiarity with regulatory, compliance, and audit requirements that influence AI use in financial systems.
Leadership & Collaboration
- Demonstrated ability to lead architectural discussions and influence cross-functional teams.
- Strong communication skills to engage both business stakeholders and engineering teams .
- Experience mentoring engineers and shaping engineering standards.
Engineering Mindset
- Trust-First Engineering: Treat reliability, explainability, and safety as first-class engineering requirements — not afterthoughts.
- Pragmatic Innovation: Apply AI where it adds clear, measurable business value; avoid AI for its own sake.
- Production-Grade Discipline: Strong bias toward observability, testing, and operational readiness for every AI-enabled component.
- Business Alignment: Continuously align technical decisions with business rules, risk posture, and domain constraints.
- Continuous Learning: Stay current with evolving AI capabilities, frameworks, and best practices, and bring proven ideas back into the team.
- Ownership & Accountability: Take end-to-end responsibility for the AI-augmented systems you build — from design to drift management in production.
- Collaboration Over Silos: Work transparently across business, risk, and engineering to deliver solutions that are practical, safe, and trustworthy.
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.
