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Job details:
We are seeking a Data & AI Lead for a small Innovation Hub to deliver proofs of concept (PoCs) and reusable assets, for various usecases withn Financial Services, with a focus on GRC domains (AML, Financial Crime, Risk & Compliance) and Customer Experience4
Key Responsibilities
- Lead end-to-end delivery of Data & AI PoCs and innovation prototypes
- Build reusable technical assets, accelerators, and reference architectures
- Design governed semantic and logical data layers
- Implement data virtualization and federated data access patterns
- Apply DataOps and MLOps practices for repeatable PoC delivery
- Design cloud-native solutions across AWS, Azure, and GCP (based on client needs)
- Shape GenAI / LLM PoCs (RAG, knowledge retrieval, case summarization, data discovery)
- Develop domain-aligned data models for AML, Risk, and Compliance
- Work with businesses to identify high-impact use cases, Translate business problems into data-driven or AI solutions and run ideation workshops and innovation programs
- Mentor and lead a small engineering team (2–5 members)
- Present PoC outcomes to business, IT, and compliance stakeholders
Required Skills & Experience
- At least 5 years of relevant work experience in (Gen) AI/ML engineering, Python, SQL and API integrations.
Strong experience in:
- Strong foundation in data engineering - Data architecture & data modeling, Data integration & distributed data systems, Data virtualization & semantic layer design
- Experience in Financial Services domain - preferably in GRC domains i.e. AML, Financial Crime, Risk, Compliance, Customer Experience.
- 2 years experience in AI Agents / systems, architectures, frameworks etc.
- Strong expertise in Graph Database is preferred.
- Practical experience in DataOps and/or MLOps practices
- Experience in leading POCs, rapid prototyping, running experimentation
- Experience building modular, API-driven, reusable components
- Hands-on multi-cloud solution design experience (AWS / Azure / GCP)
- Proven experience leading small technical teams
Preferred / Nice-to-Have
- Experience with data virtualization platforms - Denodo
- Experience with data science & AutoML platforms - Dataiku
- Exposure to AI-enabled data platforms and data fabric approaches
- Relevant Anthropic / cloud / data / AI certifications
Job Location: Koramangala, Bangalore.
To know more about us, please visit: https://www.sciente.com
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