2 months ago
Mumbai, IndiaStaff+
Responsibilities
- Own the end-to-end engineering lifecycle for GenAI and automation initiatives from discovery and feasibility assessment through prototype, pilot, production handover, and operational support.
- Analyze banking, KYC, compliance, risk, servicing, and reporting workflows to identify and deliver high-impact automation opportunities.
- Design and build LLM-powered workflows, RAG solutions, agents, prompt chains, tool-calling patterns, and human-in-the-loop review mechanisms.
- Develop prototypes and MVPs using enterprise AI platforms including Claude, Gemini, GitHub Copilot, OpenAI, and Azure OpenAI.
- Integrate AI capabilities with enterprise systems, APIs, workflow platforms, data repositories, document management systems, and banking data environments.
- Establish coding, testing, documentation, version-control, evaluation, deployment, and observability practices for AI-enabled solutions.
- Implement controls for data privacy, PII handling, hallucination control, bias mitigation, explainability, auditability, cost management, and regulatory compliance.
- Define evaluation datasets, success metrics, regression tests, prompt scorecards, failure-mode analysis, and quality thresholds.
- Collaborate with business, operations, technology, risk, compliance, information security, architecture, and data teams.
- Mentor junior engineers and analysts in prompt engineering, API development, AI implementation, secure coding, and banking-domain solution design.
Requirements
- 8–10+ years of software engineering, AI engineering, data engineering, platform engineering, or automation delivery experience.
- Hands-on experience delivering GenAI, LLM, NLP, machine learning, or intelligent automation solutions in enterprise environments.
- Strong Python programming skills; experience with Java, JavaScript, or TypeScript is advantageous.
- Experience with enterprise LLM platforms such as Claude, Gemini, GitHub Copilot, OpenAI, or Azure OpenAI.
- Experience designing and integrating APIs, SDKs, backend services, microservices, and event-driven or workflow-based architectures.
- Understanding of RAG, vector databases, embeddings, prompt engineering, tool calling, agent orchestration, and LLM evaluation methods.
- Ability to design secure, scalable, auditable, and maintainable solutions for regulated banking or financial-services environments.
- Working knowledge of automated testing, source control, deployment automation, monitoring, incident management, and DevSecOps practices.
- Strong knowledge of data privacy, PII protection, encryption, access control, audit logging, and model risk considerations.
- Preferred experience in banking, capital markets, lending, payments, compliance, KYC, AML, risk, or regulatory reporting.
- Preferred experience with Microsoft Azure, Google Cloud Platform, AWS, Lang Chain, Llama Index, Semantic Kernel, Docker, Kubernetes, infrastructure-as-code, observability tools, and production support.
- Bachelor’s or master’s degree in computer science, engineering, data science, artificial intelligence, information systems, or a related discipline, or equivalent practical experience.
- Ability to work independently, manage competing priorities, influence senior stakeholders, mentor junior resources, and take accountability for solution quality and delivery outcomes.
Benefits
- Full-time position.
- VP-equivalent ownership with opportunities to influence senior stakeholders, guide technical decisions, mentor junior resources, and shape engineering standards.
- The role includes work across business, operations, technology, risk, compliance, information security, architecture, and data teams.
Categories
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.