• Perform research for determining the state income/franchise tax return filing requirements for foreign disregarded entities and US domesticated entities.
• Prepare a summary/matrix documenting the results of the research.
• Contact state/local taxing authorities to gather information and resolve issues.
• Prepare tax returns and other forms using e-Forms tax software.
• Maintain filing status/progress trackers to facilitate internal coordination.
• Assist with logging federal, state, and local tax notices issued to EXL.
• Monitor online state tax portal accounts for any open matters.
• Prepare/update intercompany agreements.
• Coordinate legal review of intercompany agreements.
• Prepare Excel-based tax workpapers.
• Perform tax GL accounts analysis.
• Assist with other matters that may arise day-to-day.

Tax Intern

Analytics Engineer

• Architect production-grade, fault-tolerant batch and real-time data pipelines within a compliance-governed AWS environment.
• Lead data modeling (dimensional, SCD, data vault) and build API/file-based integrations with encryption and audit logging at every point.
• Build CI/CD pipelines for data infrastructure with mandatory security scanning and approval gates.
• Conduct code reviews, mentor engineers, and produce technical documentation including ADRs, runbooks, and compliance evidence packages.

Senior Analytics Engineer

Analyst

• Support the design, placement and administration of ceded reinsurance programmes.
• Work closely with Placement Officers and cross-functional teams.
• Contribute to portfolio optimisation, risk management and successful reinsurance renewals.

Ceded Re Analyst

LLM Engineer

• Design, build, and ship production-grade Generative and Agentic AI applications and services for internal and external users
• Develop high-quality backend services in Python, with strong software engineering rigor around testing, performance, and maintainability
• Champion reusability and abstraction in everything you build by designing and building modular, well-abstracted components and libraries
• Build multi-agent systems using frameworks such as LangChain, LangGraph, Claude Agent SDK and Google ADK
• Integrate with leading LLM and foundation model APIs, including Azure OpenAI, Google Vertex AI, and AWS Bedrock
• Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking strategies, embeddings, vector search, and re-ranking
• Build clean, well-tested RESTful and/or gRPC APIs with a strong focus on reliability, security, and performance
• Implement observability, tracing, evaluation, guardrails for Generative and Agentic AI applications
• Deploy and operate services on major cloud providers (e.g., GCP, AWS, and Azure) leveraging managed services
• Contribute to platform architecture decisions and engineering best practices
• Take applications from prototype through production deployment, hardening, and ongoing operation
• Mentor and coach junior and mid-level engineers through code reviews, architecture discussions, and pair programming
• Foster a culture of engineering excellence, knowledge sharing, and continuous improvement
• Participate in technical design reviews and contribute to the professional growth of team members

Staff Generative AI Engineer

Executive

• Review and analyze medical records and claims data to ensure accuracy, completeness, and compliance with healthcare regulations and payer requirements.
• Verify that all necessary clinical documentation is included to support claim submissions and medical necessity.
• Identify and resolve inconsistencies, errors, or missing documentation in patient records or claims.
• Prioritize and manage workloads to ensure expedited and high-priority cases are processed within defined timelines.
• Collaborate with healthcare providers, coders, and billing staff to obtain or clarify necessary information.
• Ensure compliance with HIPAA, CMS, and other regulatory guidelines related to medical record handling and claims processing.
• Prepare accurate reports and summaries of claim findings, trends, and potential process improvements.
• Support internal audits and quality assurance initiatives by providing detailed documentation and analytical insights.
• Maintain a strong understanding of healthcare terminology, coding standards (ICD, CPT, HCPCS), and insurance claim procedures.

Senior Executive – Claims Audit

Actuary

• Complete understanding of the current state of affairs and problem statement
• Interacting with clients on regular basis, understanding their requirements and transforming that into business framework and providing actuarial solutions
• Work on transformation/automation initiative.
• Build actuarial models for life insurance products.
• Perform UAT testing, Unit testing, regression testing etc. for Actuarial model testing & validation.
• Excellent written and verbal communication skills

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

Human Resources

• Partner with business leaders to shape HR strategies aligned to business needs
• Provide consultation to solve significant people and cultural issues
• Analyze HR data to recommend solutions to management
• Develop people strategies for organizational change and employee engagement

Senior Human Resource – Strategy Partner

• Executing reinsurance accounting activities including premium, claims, and commission processing
• Ensuring accuracy and compliance in financial reporting
• Supporting audits and stakeholder requirements

Senior Executive

Administration

• 8+ years of experience in SAS Administration with strong expertise in SAS Viya and SAS 9.4 platform administration, installation, configuration, upgrades, patching, and production support.
• Hands-on experience in SAS on-premises to cloud migration projects, including migration planning, architecture design, deployment, validation, and post-migration support on cloud platforms such as AWS.
• Extensive experience administering SAS Viya components, including CAS, SAS Environment Manager, Identity Management, Kubernetes/OpenShift, and performance tuning of distributed environments.
• Strong knowledge of SAS security administration, including LDAP/Active Directory integration, authentication, authorization, role-based access control, and compliance requirements.
• Experience managing and supporting high-availability, disaster recovery, backup, and platform resiliency solutions for enterprise SAS environments.
• Proven ability to troubleshoot and resolve complex platform, performance, connectivity, and infrastructure issues across Linux, cloud, database, and SAS application layers.
• Experience working with Banking and Financial Services domains, supporting regulatory reporting, risk management, data analytics, compliance, and enterprise data platforms.
• Strong understanding of database integrations with Oracle, SQL Server, PostgreSQL, Teradata, or Snowflake, and experience optimizing SAS-to-database workloads.
• Hands-on experience with automation and scripting using Shell, Python, or PowerShell to streamline administration, monitoring, deployment, and operational activities.
• Excellent stakeholder management, documentation, and leadership skills, with the ability to collaborate with infrastructure, cloud, security, and business teams while mentoring junior administrators.

Senior SAS Administrator

Quality Analyst – Testing

Data Engineer

• Design and develop LLM-based applications using single-agent or simple multi-agent patterns for business use cases
• Build and maintain RAG pipelines: data ingestion → chunking → embeddings → retrieval → response generation
• Implement prompt engineering techniques (prompt templates, chaining, basic tool/function calling)
• Develop backend services/APIs for AI applications using Python frameworks (FastAPI / Flask / Streamlit)
• Integrate AI solutions with enterprise systems, databases, and APIs
• Apply basic guardrails and validation checks to improve response quality and reduce hallucination
• Work with Data Engineering teams to ensure data quality, pipeline efficiency, and proper documentation
• Collaborate with MLOps teams for deployment, monitoring, and iterative improvements
• Document solutions, reusable components, and best practices

AI Data Engineer

• Monitor real-time queue performance, agent status, and service levels across lines of business**
• Identify and act on volume fluctuations, staffing gaps, and SLA risks in a timely manner**
• Perform intraday staffing adjustments including breaks, shifts, overtime (OT), and VTO**
• Reallocate resources and manage skill assignments based on business requirements**
• Track and analyze key performance metrics such as Service Level, AHT, Occupancy, and Adherence**
• Publish intraday reports and share real-time updates with stakeholders**
• Act as first point of escalation for operational issues and recommend mitigation actions**
• Ensure adherence to schedules and highlight any non-compliance or productivity gaps

Senior Executive – Real Time Analyst, RTA

Consultant

• Gather and document business requirements
• Translate requirements into BRDs/FRDs and user stories
• Engage stakeholders across business and technology
• Support credit risk strategy and policy implementation
• Perform process mapping and identify improvements
• Participate in Agile ceremonies and UAT support
• Maintain documentation and requirement traceability
• Conduct data analysis using Excel/SQL

Consultant II – BA, PM

DevOps Engineer

• Deploy EXLdata.ai into client cloud infrastructure (AWS/Azure/GCP)
• Resolve infra, security, and data pipeline issues in real time
• Customize accelerators and agent workflows for client-specific needs
• Drive measurable value realization from Day 1
• Champion product enhancements back to the EXLdata.ai engineering team
• Deliver white-glove support for clients using our managed platform offering
• Serve as the technical anchor for first-of-kind deployments at each client.
• Ensure clients see measurable value from agent-driven automation (SLA reduction, pipeline acceleration, DQ uplift, migration speed).
• Provide hands-on support across discovery, configuration, runbooks, and UAT.