Job Title : Principal AI Architect
Employment Type : Full-Time
Relevant Experience : 10+ years
Location : Pune, Noida
Role Overview :
Were hiring a visionary Principal AI Architect to lead DB Techs transformation into an AI-first engineering organization. In this role, you will drive the adoption of cutting-edge AI tools (e.g., Lovable AI , Cursor , Relevance AI ), embed intelligent services across our platforms, and re-architect systems for AI-native execution.
Collaborating with backend, mobile, and DevOps teams, you will bridge product vision with technical AI strategy delivering scalable and explainable systems that power millions of SME transactions across Southeast Asia.
Key Responsibilities :
AI-First Leadership :
- Define and execute DB Techs AI vision. Re-architect existing systems into AI-native services, integrate tools like Cursor and Relevance AI , and mentor teams on prompt engineering , Vibe Coding , and autonomous testing .
Architect Scalable AI Systems :
Design enterprise-scale AI / ML platforms that enable real-time analytics, model deployment, and continuous learning in fintech products and services.Lead Solution Design :
Collaborate with data scientists, engineers, and business stakeholders to integrate AI models into core platforms such as risk engines , transaction monitoring , and robo-advisors .Ensure Governance & Compliance :
Build AI systems that meet financial regulations (e.g., GDPR , PCI-DSS , FFIEC , Basel III ) while ensuring fairness, explainability, and accountability.Drive MLOps Strategy :
Develop and manage robust pipelines for data ingestion , feature engineering , model training , testing , deployment , and monitoring .Team Leadership :
Provide technical leadership to AI and engineering teams. Promote best practices in AI ethics , version control , and Identify high-value AI opportunities and lead the development of proofs-of-concept (PoCs) .Evaluate feasibility, cost, and impact of new AI initiatives.Define best practices and standards for model lifecycle management .Evaluate Emerging Technologies :
Stay ahead of innovations in generative AI , LLMs , and FinTech-specific AI tools , driving their adoption strategically.Technical Skills and Tools :
ML & AI Frameworks :
Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorchHugging Face Transformers, OpenAI APIs (for generative and NLP use cases)MLOps & Deployment :
MLflow, Kubeflow, Seldon Core, KServe, Weights & BiasesFastAPI, gRPC, Docker, Kubernetes, AirflowFinTech-Specific Applications :
Credit scoring models, Fraud detection algorithmsTime series forecasting, NLP for financial documents / chatbotsAlgorithmic trading models, AML (Anti-Money Laundering) systemsCloud & Data Platforms :
AWS SageMaker, Azure ML, Google Vertex AIDatabricks, Snowflake, Kafka, BigQuery, Delta LakeMonitoring & Explainability :
SHAP, LIME, Alibi, Evidently AI, Arize AIIBM AIX 360, Fiddler AI(ref : hirist.tech)