AI Engineer, AVP

Key Responsibilities

• Design, develop and implement AI and Gen-AI based Agentic software systems on the cloud.
• Collaborate with other development teams and SMEs to integrate shared services into products.
• Learn Deutsche Bank’s AI Governance framework and operate within safe AI principles.
• Leverage architecture decision trees to pick strategic AI patterns to solve business problems.
• Integrate Gen-AI APIs with cloud-native presentation (GKE, Cloud Run) and persistent layers (PostgreSQL, BQ).
• Run systems at scale while continuing to innovate and evolve.
• Work with data engineers and scientists to ensure effective data collection and preparation for training AI models.
• Continuously monitor the performance of AI solutions and implement improvements.
• Lead training sessions and create comprehensive documentation to empower end users.
• Function as an active member of an agile team.

Qualification & Requirements

Skills You’ll Need

• AI Expertise: Proficiency in frameworks (Langchain, Streamlit or similar), libraries (Scikit-learn or similar) and cloud platforms (Vertex AI or OpenAI).
• Prompt Engineering & RAG: Skills in crafting effective prompts and enhancing AI outputs with external data integration.
• NLP Knowledge: Strong understanding of natural language processing and conversational AI technologies.
• Deployment & Operations: Experience in model deployment, monitoring, optimization (MLOps), and problem-solving.
• Proficiency with cloud-native orchestration systems (Docker/Kubernetes).
• Proficiency in Python or Java, and SQL.
• Knowledge of RESTful design.
• Experience working with different types of enterprise and real-world data sets – structured, semi-structured and unstructured data.
• Experience putting ML/AI into production, and ability to talk through best practices and pitfalls.
• Relationship and consensus building skills.

Skills That Will Help You Excel

• Stakeholder Communication: Ability to explain AI concepts to non-technical audiences and collaborate cross-functionally.
• Adaptability & Innovation: Flexibility in learning new tools and developing innovative solutions.
• Experience with cloud-native databases/warehouses (PG and BigQuery).
• Experience in data visualization and observability with a focus on real time serving and monitoring of time series data with alerts.
• Thought Leadership & Advocacy: Develop awareness of industry developments and best practices Provide thought leadership in emerging technologies as they relate to AI topics.

Benefits

• 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