Agentic AI/ Data Scientist at EXL Talent Acquisition Team

, , India -

Full Time

Start Date

Immediate

Expiry Date

01 Oct, 26

Salary

0.0

Posted On

03 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Multi-agent Systems, LangGraph, AutoGen, CrewAI, Event-driven Architecture, Kafka, AWS SQS, Enterprise API Integration, MLOps, Document Intelligence, Human-in-the-loop Workflows, Apache Airflow, Temporal, AWS Step Functions, Cloud Platforms, Communication Skills

Industry

Business Consulting and Services

Description

Job Summary: We are looking for a senior AI Engineer with 9–12 years of experience to join our Digital and AI Solutions Engineering team, focused on building a next-generation agentic platform for Finance and Accounting operations. You will be a core contributor to designing and delivering platform-level AI capabilities — including multi-agent orchestration, human-in-the-loop workflows, intelligent exception management, and shared intelligence services — that power automated end-to-end processes across Purchase-to-Pay, Order-to-Cash, and Record-to-Report domains. This is a platform engineering role, not a one-off use case role. You will be building reusable, production-grade services that connect to enterprise ERP systems, process high volumes of financial documents, apply configurable business rules, and route exceptions intelligently — all while maintaining the audit trail and compliance standards that regulated finance environments demand. You will work at the intersection of AI engineering, enterprise integration, and finance operations, collaborating closely with domain SMEs, integration engineers, and delivery teams to ensure that what gets built is both technically sound and operationally adoptable by clients. The ideal candidate combines strong hands-on experience in LLM-based application development and multi-agent frameworks with the software engineering discipline to build scalable, multi-tenant platform components. Experience in Finance and Accounting processes or prior delivery in a BPO or shared services context is a significant advantage, as the role requires translating complex finance workflows and business rules into robust, configurable AI-driven automation. Must have Skills: * 6+ years of hands-on experience building multi-agent systems using agentic frameworks (LangGraph, AutoGen, or CrewAI) — not just single-chain LLM applications * Experience with event-driven architectures and async workflow patterns (Kafka, AWS SQS, or equivalent) for long-running, stateful processes * Experience integrating AI applications with enterprise APIs — REST, SOAP, or ERP systems (SAP, Oracle, or D365) * Production MLOps experience — model monitoring, drift detection, and evaluation pipelines, not just model building * Experience with document intelligence or structured extraction from unstructured documents (invoices, PDFs, emails) * Experience building human-in-the-loop (HITL) workflows where AI and human decisions are interleaved * Experience with workflow orchestration tools (Apache Airflow, Temporal, or AWS Step Functions) * Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps best practices. * Excellent communication skills with the ability to translate technical solutions into business impact. Good to have skills: * Familiarity with multi-tenant platform design and configuration-driven architecture (serving multiple clients without code changes per client) * Knowledge of financial controls, audit trail requirements, or SOX-scoped processes * Experience with OCR and document AI services (AWS Textract, Azure Document Intelligence, Google Document AI) * Exposure to ERP-specific integration patterns — SAP RFC/BAPI, Oracle Fusion REST APIs, or D365 connectors * Understanding of anomaly detection in transactional data (not just text/NLP use cases) Key Responsibilities: * Design and implement multi-agent orchestration workflows with stateful execution, conditional branching, human-in-the-loop handoffs, and retry logic * Build and maintain ERP and enterprise system connectors (SAP, Oracle, D365) as part of a reusable integration layer — ensuring agents can read from and write back to source systems * Develop exception detection, classification, and routing logic within agentic pipelines — including upstream prevention rules and lifecycle tracking * Instrument AI services in production — logging, tracing, latency monitoring, and drift detection across live agent workflows * Design shared platform services (data extraction, anomaly detection, NLP classification, duplicate detection) as reusable, independently deployable microservices consumed across multiple workflows * Collaborate with finance domain SMEs to translate P2P, O2C, and R2R business rules into configurable validation logic — without hardcoding client-specific behaviour * Contribute to a multi-tenant platform architecture where new client onboarding is achieved through configuration, not custom development Evaluate model performance, mitigate bias, and optimize accuracy, latency, and cost. * Stay up to date with the latest trends in LLMs, transformers, and GenAI architecture. Preferred Qualifications: * Prior experience delivering AI solutions in a Finance & Accounting BPO or shared services environment * Exposure to SOX compliance, internal audit requirements, or financial controls in a technology context * Experience building configurable, metadata-driven integration pipelines with canonical data models * Familiarity with human-in-the-loop (HITL) design patterns — task queuing, approval routing, SLA escalation, and decision capture * Hands-on experience with document AI services for financial document processing (invoices, remittances, purchase orders) * Knowledge of workflow state management patterns — checkpointing, idempotency, and safe resume for long-running processes Experience with vector similarity search applied to duplicate detection or semantic matching in transactional data EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com [http://www.exlservice.com/]. EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers. EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.

Responsibilities

Design and implement a next-generation agentic platform for Finance and Accounting operations, focusing on multi-agent orchestration and human-in-the-loop workflows. Build reusable enterprise connectors for ERP systems like SAP and Oracle to automate end-to-end financial processes.