Compliance Engineering -Financial Crime- Solution Architect- Sr Manager
Ernst and Young9 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design and amend technical architectures and build product features aligned with functional specifications.
- Provide hands-on development across front-end, back-end, APIs, data layers, third-party integrations, and AI models.
- Lead end-to-end technical delivery for agentic AI, full-stack, data, DevOps, and platform initiatives.
- Review code and designs, coach and mentor developers, technical architects, testers, and junior team members.
- Evaluate technology stacks and API choices while balancing efficiency, optimization, and time to market.
- Map functional specifications to product features and ensure coverage and accuracy.
- Perform techno-functional quality assurance and automate testing using appropriate tools.
- Partner with architects and application teams to deliver secure solutions and support sprints, testing, and hypercare.
- Lead a developer sub-competency or practice and contribute to client-facing initiatives, hackathons, campaigns, and white papers.
Requirements
- 14+ years of technical source-code development experience combining design leadership, hands-on development, and overall technical leadership.
- Experience in at least two compliance areas, including KYC platforms, anti-money laundering, transaction monitoring, sanctions screening, fraud analysis, or trade surveillance.
- Experience developing agentic AI solutions using RAGs, vector databases, LangChain, LangGraph, Langfuse, third-party LLM integrations, prompt engineering, and traditional or deep learning.
- Experience with graph databases, microservices, event-driven architectures, distributed computing, multi-tenant systems, and large-scale architectures.
- Strong back-end development experience with Python, API creation using Django or FastAPI, microservices, data integration, and data structures and algorithms.
- Working knowledge of deploying applications on Azure, AWS, or GCP and implementing CI/CD pipelines with Git version control.
- Experience with Python-based machine learning model implementation, MLOps, AI model operations, and SQL or NoSQL databases such as PostgreSQL or MongoDB.
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
- Preferred experience with SAS AML packages or platforms such as Actimize, Feedzai, Fenergo, or Mantas; Angular or React; MEAN or MERN; Node.js; and Power BI or similar platforms.
- Ability to lead developers and technical leads, work as a client-facing solution professional, and conduct or contribute to idea-thons, hackathons, campaigns, and white papers.
- TOGAF or equivalent certification and cloud, AI, or ML certifications are preferred.
Benefits
- Continuous learning, coaching, leadership development, and tools to support career growth.
- Inclusive and diverse culture with opportunities to collaborate across EY service lines, geographies, sectors, and global delivery locations.
- Global Delivery Services operates across Argentina, China, India, the Philippines, Poland, and the UK.
Tech Stack
Categories
Solutions Engineering
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.