Accounts Receivable

• Carry out activities to support the Accounts Receivable cycle and subprocesses.
• The role involves calling customers for payments, payment processing, credit notes, write offs, reconciliations and reporting.
• Required interact with customers and agree before processing invoices
• Resolve all customer queries and requests coming via e-mails /tickets within the agreed SLA
• Perform account reconciliation between data from different systems
• Maintain exception logs for process related exception as and when they occur for knowledge retention
• Provide audit support where required
• Prepare reports as per requirements

Account Receivable Spanish Expert

Account Receivable, French Expert

Analyst

• Conduct Transaction Monitoring as per guidelines defined in the QSD
• Provide feedback to associates based on monitoring results
• Prepare transaction monitoring reports and ensure timely and accurate reporting
• Conduct ongoing analysis of quality performance and recommend actions for improvement at associate / process level
• Update Prompt with performance data to ensure timely and accurate reporting of SLAs
• Participate in calibration exercises on a regular basis to ensure consistency in measurement.
• Work closely with Trainer / SME and Operations team to conduct team huddles
• Perform transaction processing as per defined policies and procedures
• Co-ordinate all process improvement initiatives
• Understand and participate in baseline activities

Senior Quality Analyst

Solutions Engineer

• Define and manage the AI product roadmap for AR capabilities: cash application automation, deductions management, credit risk scoring, collections prioritization, and dispute resolution.
• Translate AR business requirements into AI architectures, orchestration frameworks, and product features that deliver measurable outcomes (DSO reduction, auto-match rate improvement).
• Design Generative AI solutions using state-of-the-art models (GPT-4o, Claude, Llama 3) for AR-specific tasks: automated remittance parsing, dispute email generation, and intelligent customer communication.
• Architect Agentic AI workflows for autonomous AR operations: cash matching agents, dispute classification agents, and collections prioritization agents using LangChain, AutoGen, and CrewAI.
• Guide data science and ML engineering teams in building, fine-tuning, and deploying LLMs and ML models for AR use cases: payment prediction, credit risk scoring, and anomaly detection.
• Architect scalable AI pipelines on cloud platforms (AWS, Azure, GCP); drive adoption of LLM orchestration stacks and MLOps practices for production AR AI systems.
• Stay current on advancements in Generative AI, NLP, and ML engineering frameworks (PyTorch, TensorFlow, LangChain, LlamaIndex, LangGraph); proactively incorporate innovations into the AR AI product.
• Ensure AI solutions meet compliance, security, and auditability standards applicable to receivables and financial data.
• Collaborate with client Finance technology teams and AR operations leads to identify AI-driven automation opportunities and co-define solution requirements.
• Present Generative AI use cases, proof-of-concept demos, and ROI narratives to both technical and non-technical client audiences.
• Act as a trusted product and AI advisor to clients on the technical, ethical, and operational considerations of deploying AR AI solutions.
• Support Sr. AVP in first-engagement solutioning, client workshops, and RFP/RFI responses for AR transformation engagements.
• Write detailed Product Requirement Documents (PRDs), user stories, and acceptance criteria for AI-powered AR features; manage and prioritize the product backlog.
• Conduct user discovery interviews with AR operations teams, controllers, and treasury leads to surface pain points and validate product hypotheses.
• Lead sprint planning, grooming, and retrospectives with cross-functional Agile engineering teams; manage release readiness across QA, UX, and compliance workstreams.
• Define and track product metrics: cash application hit rate, auto-match accuracy, DSO improvement, collector productivity, and AI model performance.
• Author product collateral: demo scripts, solution one-pagers, sales enablement decks, and ROI calculators for AR AI solutions.

Solution Architect

Operations

• Review and analyze the assigned outstanding receivables portfolio to identify unresolved claims.
• Manage and resolve outstanding and denied claims by coordinating effectively with insurance companies.
• Follow up promptly to obtain additional information required for claim resolution.
• Ensure all claims are resolved within established timelines and adhere to defined Service Level Agreements (SLAs).
• Perform website checks and handle non-callable denials to optimize receivables recovery.

Executive – Operations

Manager

• Experience in Canada Indirect Tax or India GST compliance
• Validate our global revenue and indirect tax system configuration
• Indirect tax computations using tools like Alteryx/Tableau and preparing VAT declarations
• Historic Indirect Tax filing analysis using Alteryx/Tableau model.
• Build and maintain invoice vs. indirect tax vs. revenue accounting reconciliations globally.
• Audit support for indirect tax and reconciliations.
• Historic review of global Indirect Tax and Revenue

Assistant Manager

Data Scientist

• Expected to work in close collaboration with the Client team and EXL team on establishing relationship with stakeholders, identify new opportunities, areas of growth
• Develop long-lasting, trusted advisor relationships with clients
• Analyze structured and unstructured data from a number of drivers in the interest of solving specific questions/problems with processes in the various functional areas
• Ensure Industry best practices are followed, Communicate and follow up with delivery team
• Brainstorming on pain areas/Identifying reasons for issues/Issue Resolution, diagnosis of inefficiencies in the current process and figuring out ways to resolve it
• Facilitate client working sessions and lead recurring project status meetings
• A typical work day will involve working with stakeholders as individual contributor.

Data Scientist – GenAI, Core DS

Developer Relations

• Define and execute the Developer Experience and Engineering Operations roadmap, aligned to EXL's Products, Platforms and AI engineering priorities.
• Identify the highest-friction points in the engineering lifecycle through developer interviews, workflow analysis, metrics, delivery retrospectives and leadership input.
• Establish practical engineering standards, golden paths, reusable templates, delivery playbooks and reference workflows that help teams build and operate solutions consistently.
• Partner with Architecture, Platform Engineering, Cloud, DevOps, Security and Product Engineering teams to improve CI/CD, local development, build and test automation, environment management, release readiness, observability and operational feedback loops.
• Drive responsible AI adoption across the SDLC, including AI coding assistants, code review support, test generation, documentation automation, knowledge retrieval and agentic workflow opportunities.
• Create clear guidance for AI-assisted engineering practices, including appropriate use, security boundaries, data handling, prompt and context patterns, review expectations and quality controls.
• Evangelise EXLerate.ai and related platform capabilities across engineering teams, helping teams understand where the platform should be used, how reusable assets should be created, and how AI-enabled solutions should be governed and operated.
• Develop enablement programmes such as communities of practice, office hours, playbooks, internal demos, workshops, onboarding journeys and hands-on adoption campaigns.
• Own the developer tooling adoption approach across IDEs, source control, CI/CD, documentation, internal portals, AI tools and engineering intelligence platforms, ensuring tools are useful, governed and adopted for measurable value.
• Define a measurement framework for Developer Experience, including adoption, satisfaction, friction reduction, cycle time, build and test reliability, onboarding time, tool effectiveness, quality signals and AI-assisted engineering outcomes.
• Create structured feedback loops so engineering teams can contribute to standards, improve shared workflows and influence the roadmap for internal platforms and tools.
• Support engineering leaders in improving delivery transparency, operating cadences, decision management, documentation discipline and cross-team dependency management.
• Ensure Developer Experience improvements are aligned with security, compliance, responsible AI, architecture governance and operational risk expectations.

Developer Experience Lead

Software Engineer

• Lead and develop a globally distributed architecture team across Ireland, the UK, the US and India, with clear roles, accountabilities and standards of technical leadership.
• Define the architecture operating model, including governance forums, review patterns, decision rights, architecture artefacts and escalation paths.
• Chair and mature the Architecture Review Board, ensuring architectural decisions are pragmatic, risk-aware and aligned to EXL standards and business priorities.
• Publish, maintain and drive adoption of engineering principles, standards and reference architectures across EXL's Products, Platforms and AI solutions.
• Own the EXL Technology Radar, using it to define and communicate technology strategy, adoption guidance and lifecycle decisions across the organisation.
• Establish named architectural ownership and reusable patterns across AWS, Azure and Google Cloud, with an emphasis on secure, scalable and portable platform design.
• Partner with product, platform, engineering, InfoSec, data, finance and delivery leaders to align technical strategy with product roadmaps, client commitments and operational constraints.
• Define the Developer Experience strategy across tools, delivery processes, internal platforms, documentation, templates, reusable components and AI-assisted engineering practices.
• Ensure engineering teams have access to the right tooling and processes to deliver value effectively, with adoption measured through outcomes rather than vanity metrics.
• Lead engineering FinOps practices for cloud and tooling spend in partnership with Finance, cloud platform and engineering leaders, including cost visibility, tagging discipline, optimisation opportunities, licence consolidation and executive reporting.
• Provide senior client-facing architecture support for strategic pursuits and client conversations, including solution shaping, estimation input, technical narrative, architectural trade-off analysis and risk assessment.
• Stay technically engaged by leading complex architecture reviews, advising on strategic designs and remaining credible with senior architects and engineers.
• Own the team's budget, objectives, operating cadence, executive reporting and architecture metrics pack.

Head of Architecture and Engineering Operations

• Develop, maintain, and optimize SAS programs and batch jobs.
• Write complex SQL queries, stored procedures, and data extraction scripts.
• Perform data analysis, validation, cleansing, and transformation activities.
• Work with large-scale databases and data warehouses.
• Create reports, dashboards, and analytical datasets using SAS.
• Collaborate with business analysts, data engineers, and stakeholders to understand requirements.
• Troubleshoot and resolve data and performance-related issues.
• Ensure data accuracy, integrity, and compliance with standards.
• Participate in code reviews, documentation, and deployment activities.

SAS Developer

Consultant

• Not applicable for internal candidates

Consultant I

Sales

• Lead the design and implementation of B2B Marketing Use Cases around Customer Journey Optimization
• Collaborate with clients and stakeholders to translate business requirements into scalable technical solutions
• Drive marketing transformation initiatives using Salesforce Marketing Cloud and related tools
• Lead and mentor a team of 1-2 developers and consultants
• Design and implement customer segmentation strategies and targeted marketing campaigns
• Ensure best practices in solution design, data management, and system integration
• Provide technical leadership across Salesforce Einstein and Agentforce capabilities

Salesforce Marketing Cloud – Agentforce

Actuary

• Pricing analyses for actuarial relevant projects
• Collaborate with cross-functional teams
• Develop pricing strategies based on actuarial models
• Contribute to financial forecasting and analysis

Actuarial Pricing Analyst

Backend Engineer

• Design, develop, and maintain both front-end user interfaces and back-end server-side logic.
• Development of RESTful APIs and microservices using Java frameworks (Spring Boot, JPA, Hibernate, etc.)
• Implement responsive frontends using JavaScript/Typescript.
• Manage scalable database schemas (SQL/NoSQL) and ensure efficient data storage and retrieval
• Improve application speed and scalability through code refactoring, caching, and front-end optimization
• Write and execute unit, integration, and end-to-end tests to ensure high software reliability and security
• Partner with designers and product managers to turn wireframes and requirements into functional, production-ready code

Java Full Stack Developer

• Develop and evaluate LLM-powered solutions such as summarization, classification, extraction and conversational assistants**
• Design prompt strategies, RAG architectures, and fine-tuning/adapter approaches where appropriate**
• Apply NLP and ML methods: text classification, topic modeling, semantic search, embeddings, clustering, regression/causal inference as needed**
• Develop Python-based prototypes and evaluation frameworks for LLM and GenAI use cases**
• Advanced use of object-oriented programming and functional programming patterns for ML workflows