Jobs at EXL

Designs, develops, and operates backend services, APIs, and integrations using Python and Java. Responsibilities include writing maintainable code, conducting reviews, contributing to architecture, troubleshooting production issues, optimizing performance, applying secure coding and reliability practices, and supporting applications. The role also requires responsible use and critical review of AI coding tools such as Claude and GitHub Copilot while collaborating with cross-functional technical and product teams.

Leads insurance-focused data and cloud transformation consulting, including client advisory, executive workshops, solution design, pre-sales, proposal development, delivery oversight, and engagement leadership. Builds data modernization, governance, BI, and AI programs while managing senior client relationships, cross-functional teams, budgets, risks, and follow-on opportunities. Contributes to thought leadership, practice development, mentoring, and growth in the insurance market.

Lead the architecture and delivery of enterprise Databricks Lakehouse and financial crime solutions for banking clients. Design cloud data platforms supporting AML, KYC, fraud detection, sanctions screening, transaction monitoring, and regulatory reporting. Define governance, security, streaming, ingestion, and data modeling frameworks; oversee Spark and PySpark engineering teams; develop migration roadmaps; conduct stakeholder workshops; and provide client-facing consulting, architectural leadership, and mentoring.

Develops generative AI applications using large language models, retrieval-augmented generation pipelines, and agent-based systems. Designs prompts, optimizes model outputs, implements guardrails, integrates AI models into APIs and production systems, and deploys solutions across Azure, AWS, or GCP. Requires Python, API development, LLMs, embeddings, vector databases, NLP, prompt engineering, and generative AI framework experience.

Designs data models, reverse-engineers physical data models, addresses data integration challenges, and supports data architecture strategy. The role requires advanced SQL, ETL, Snowflake, CI/CD, Python, and AWS services including S3 and Glue, with emphasis on developing scalable long-term data solutions.

Lead the design, optimization, and enterprise deployment of retrieval-augmented generation pipelines and large language models. Responsibilities include managing multi-stage RAG workflows, fine-tuning open-source models using PEFT and LoRA, building automated evaluation frameworks, architecting vector search and metadata strategies, and mentoring junior analysts in prompt engineering, chunking, and code quality.

Develops Power BI dashboards, SSRS reports, data models, KPIs, and healthcare analytics solutions. Uses advanced SQL and Python to transform, analyze, and optimize large healthcare datasets. Performs exploratory analysis, ensures data quality and governance, supports reporting and production issues, and communicates insights to technical, business, client, and executive stakeholders. Collaborates across Product, Engineering, Client Services, and Operations teams in Agile delivery environments.

Oversee enterprise IT service delivery and operations for key client accounts, including SLA management, service improvement, compliance, information security, incident management, asset oversight, and operational cost control. Lead implementations, transitions, Greenfield site setups, and cross-regional collaboration. Manage stakeholder relationships and ensure consistent service standards across offices supporting 5,000–10,000 end users.

Manage the end-to-end lifecycle of P1 and P2 incidents, including technical triage, root cause analysis, stakeholder communication, service restoration, and post-incident reviews. Monitor telemetry, logs, queues, and system performance using observability tools. Coordinate global handoffs, maintain incident playbooks, reduce service downtime, and drive continuous improvements across on-premises and cloud environments.

Oversees compliance across operational teams, including audit support, risk assessment, fraud-risk management, corrective action plans, compliance reporting, employee training, and governance improvements. The role identifies and resolves compliance vulnerabilities, monitors remediation efforts, and partners with stakeholders to ensure adherence to regulatory, contractual, service-delivery, and organizational requirements.

Supports corporate governance, board and committee administration, SEC and Section 16 filings, subsidiary records, equity plan administration, insider trading processes, and corporate insurance. The role also assists with litigation, investigations, legal holds, discovery, corporate projects, governance research, and stakeholder coordination. It requires strong organization, drafting, communication, discretion, and experience supporting corporate secretary functions, boards, public-company compliance, and equity programs.

Manage customer accounts to ensure on-time payments, maintain account and collection records, produce debtor and aging reports, chase overdue invoices, resolve disputes across departments, escalate high-risk accounts, prepare cash forecasts, align with cash application, and meet SLAs while coordinating with agencies and clients.

Develops and maintains automation solutions using VBA, Python, and Excel for insurance operations, reporting, reconciliations, validations, and financial processes. Analyzes business workflows, gathers requirements, tests and deploys solutions, provides post-implementation support, and creates technical documentation. Collaborates with operational stakeholders to optimize processes and drive continuous improvement.

No responsibilities or qualifications were provided. The role title indicates work related to actuarial pricing.

Processes payments, reconciles accounts, and manages customer invoices. The role requires graduation and approximately one to three years of experience.

Lead the architecture, development, deployment, and maintenance of generative and agentic AI systems using LLMs, orchestration frameworks, APIs, databases, and MLOps practices. Provide technical leadership, mentor engineering teams, collaborate with stakeholders, ensure production reliability and security, and document solutions. The role also coordinates team tasks, assists with project management, handles customer inquiries, and prepares reports.

Designs, develops, optimizes, tests, and maintains software applications. Provides technical support, troubleshoots issues, ensures applications meet business and user requirements, and collaborates with developers and stakeholders to address application needs.

Conduct vulnerability scans, analyze results, document security findings, assist with remediation and security measure development, and support senior consultants. Requires a bachelor’s degree in Computer Science or Information Security and 8–12 years of vulnerability assessment experience.

Process transactions according to desktop procedures, meet assigned SLA targets, maintain transaction quality standards, produce daily process reports, follow attendance schedules, and comply with company policies and procedures.

Designs, deploys, manages, and optimizes cloud infrastructure and services for performance, cost efficiency, security, and compliance. Provides technical support for cloud environments and collaborates with stakeholders and IT professionals to integrate cloud solutions with existing systems.