Compliance Engineering - Solution Architect- Sr Manager

Job Summary

We are looking for a seasoned Solution Architect in Compliance IT Engineering team, with 14+ years of hands-on development and design experience with preferred prior experience in product-based IT development, involving Full stack engineering (Front-end, Back-end), Machine Learning and AI-driven development and devops. In this role, you will play a dual role - a) of creating source code catering to target state functional specifications and b) lead the whole team for overall product or project delivery involving code review, design review, team member technical coaching etc.

EY Digital Engineering is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. The Digital Engineering practice works with clients to analyse, formulate, design, mobilize and drive digital transformation initiatives. We advise clients on their most pressing digital challenges and opportunities surround business strategy, customer, growth, profit optimization, innovation, technology strategy, and digital transformation. We also have a unique ability to help our clients translate strategy into actionable technical design, and transformation planning/mobilization. Through our unique combination of competencies and solutions, EY s DE team helps our clients sustain competitive advantage and profitability by developing strategies to stay ahead of the rapid pace of change and disruption and supporting the execution of complex transformations

Your key responsibilities

AI Transformations, Architecture, Design and hands-on mindset

• Use working experience to amend design (commensurate to functional specifications) and demonstrate hands-on development of product features, with utmost efficiency and optimization of source code
• Wherever needed, challenge status quo for tech stacks, API choices to include most efficient industry practices, balancing the time to market for the product at hand
• Coach and mentor team members technically as needed (including performing code reviews)

End-to-end Technical Leadership (Agentic AI, full stack, Data, Devops, Platforms)

• Demonstrate the right-ways of development in all facets of software development (Front end, Back end, APIs , Data layers, 3rd party integrations and AI models) (Lead with Walk the Talk mindset)
• Map functional specifications to product features to ensure coverage and accuracy of product
• Demonstrate critical thinking, strong communication, logical reasoning and technical convincing as needed

Quality Assurance

• Perform Techno-functional Testing (QA) for product features getting implemented as per the functional specifications
• Automate testing wherever possible using most feasible approaches (Excel/ VBA or Python or any available tool/s)

Collaboration Support

• Partner with architects and application teams for secure solution delivery.
• Provide functional support to all phases of delivery (Sprints, Testing, Hypercare etc.)
• Ability to guide and coach junior TAs and testers in the team

Skills and attributes for success

Required Skills

• 14+ years Technical source code development experience, with right mix of design leadership, hands on development and overall technical leadership
• Working experience in Compliance domain (any 2 or more subject areas of
• KYC platforms
• Anti money Laundering (AML)
• Transaction Monitoring
• Sanctions screening
• Fraud analysis
• Trade Surveillance
• Agentic AI driven solutions (RAGs, Vector DBs, Langchain/Langgraph/Langfuse, 3rd party LLM models integration and adoption, Prompt engineering, Traditional Machine Learning and Deep Learning exposure)
• Graph Databases
• Microservices based architectures
• Event-driven architectures
• Distributed computing, multi-tenant, large scale architectures
• Back end (Python primary) including API creation (Django or Fast API) , microservices and data integration, Data Structures and Algorithms
• Cloud and Devops : Working knowledge of deploying applications in cloud infrastructure (Azure or AWS or GCP) and implement CI/CD pipelines, with version control (Git)
• Python driven Machine Learning model implementation (ML Ops) and AI model ops
• Databases like SQL (PostgreSQL) and/or NoSQL (MongoDB)
• Good to have:
• SAS AML packages for Fincrime domain Or Deep platform implementation experience (Actimize, Feedzai, Fenergo etc.)
• Front end (Either of - Angular, or React or similar)
• MEAN or MERN stack exposure
• Node js Exposure
• platforms (PowerBI or alike)

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