Full-stack Engineer

• Design and implement server-side logic, define and maintain databases, and integrate user-facing elements developed by front-end developers.
• Ensure high performance and responsiveness of applications, and implement security and data protection measures.

Lead – Full Stack Developer

Manager

• Manage ETL projects and ensure alignment with business goals.
• Ensure adherence to ETL policies and procedures.
• Provide strategic guidance on ETL practices.
• Lead a team of ETL engineers.

• Oversee multiple analytics projects, ensuring alignment with business goals.
• Review and validate analytical models and dashboards.
• Work with senior stakeholders to define and refine business metrics.
• Mentor and develop junior analysts, fostering a culture of continuous learning and innovation.

Lead Software Engineer

Data Engineer

• Lead design and optimization of complex data solutions
• Oversee data engineering projects
• Mentor junior engineers
• Ensure solutions align with organizational goals
• Provide strategic guidance.

Senior Data Engineer

DevOps Engineer

• Deploy EXLdata.ai in client-owned AWS/Azure/GCP environments.
• Configure networking, security, CI/CD, Kubernetes, API gateways, and identity integration.
• Troubleshoot environment, infra, IAM, and pipeline-related issues.
• Lead cloud-level optimizations (scaling, cost, performance tuning).
• Build, customize, and optimize data pipelines using **PySpark, SQL, Databricks, Snowflake**, or native hyperscaler data services.
• Integrate platform agents into client workflows (Data Migration, DQ, DataOps, Annotation).
• Assist client SMEs in onboarding data sources, targets, and transformations.
• 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.
• Work with product engineering on integrating new GenAI agents into client pipelines.
• Tailor agent behaviors, triggers, and workflows for domain-specific use cases.
• Share field insights that shape our agent roadmap.
• Act as the “voice of the customer” for the EXLdata.ai product team.
• Identify enhancements, feature gaps, and new accelerator ideas.
• Participate in internal sprints, tooling improvements, and platform hardening.
• Support deployments in EXL-hosted private cloud environments.
• Serve as the first line of operational excellence for premium clients.
• Lead operational reliability, monitoring, and support SLAs.

Forward Deployment Engineer

Consultant

• Data collation, processing, cleaning & transformation along with feature engineering and model development.
• Hands-on with model training, evaluation & fine tuning.
• Ensure output’s thorough quality check & provide analytics driven insights and next steps in involved project(s)
• Actively own & manage client deliverables.
• Effectively engage with client & translate client business requirements into equivalent analytical problems.
• Understand data and different platforms used by the client.
• Actively contribute towards design methodology for problem solving.
• Analyze large & complex data sets to derive valuable insights.

Consultant II

• Manage a cross‑functional team of 7–9 engineers
• Work closely with onshore Solution Architects
• Act as the primary bridge between business stakeholders and technical execution
• Own end‑to‑end delivery of data engineering and data‑driven web solutions
• Design, build, and maintain scalable, reliable data pipelines and data architectures
• Provide hands‑on technical guidance and architectural oversight when required
• Ensure performance, data quality, reliability, and scalability of data systems
• Drive best practices in coding, testing, documentation, deployment, and monitoring
• Lead, mentor, and manage a team of 7–9 engineers including Data Engineers, DevOps Engineers, and Full‑Stack Developers
• Conduct task planning, sprint execution, reviews, and performance feedback
• Ensure efficient collaboration across engineering roles
• Work closely with business stakeholders to translate requirements into technical solutions
• Coordinate with Onshore Solution Architects for solution design, alignment, and delivery

Data Engineering Lead

QA Engineer

• Develop, maintain, and execute automated test scripts using Selenium, Test Complete.
• Perform Automated API testing to ensure the reliability of web Applications.
• Integrate automation tools with test management tools.

QA Engineer – Manual and Automation Testing

Account Manager

• Provide accurate, timely, high-quality, solution-focused legal advice across the full range of legal issues
• Review, draft, negotiate and close a broad range of technology agreements
• Become an integral part of a dynamic team providing effective legal support
• Work closely with cross-functional teams to address legal and mitigate risks
• Provide strategic and programmatic advice on legal and regulatory requirements
• Serve as the day-to-day legal point on contractual queries
• Assist in the continuous improvement of template agreements
• Collaborate closely with the rest of the Legal team
• Stay abreast of legal and industry developments relevant to the company’s business

Commercial Counsel, Technology Transactions – Strategic Partnerships

• Gather and translate business requirements into AI/ML solutions.
• Manage project timelines, resources, and deliverables across cross-functional teams.
• Communicate progress, challenges, and opportunities to senior stakeholders and executives.
• Foster a culture of innovation, experimentation, and continuous improvement.
• Provide technical direction, mentorship, and career development support.
• Design, fine-tune, and deploy LLMs and VLMs for domain-specific and general-purpose use cases.
• Build and operationalize Agentic AI systems that leverage autonomous agents capable of reasoning, planning, and interacting with users, environments, and other agents.
• Develop and implement Agentic Technology frameworks, including task orchestration, memory management, and multi-agent collaboration.
• Leverage the NVIDIA stack (CUDA, TensorRT, Triton Inference Server, etc.) for high-performance model training and deployment.
• Build scalable ML pipelines and inference services using Python, PyTorch, TensorFlow, HuggingFace, and similar frameworks.
• Stay current with cutting-edge research in Generative AI, LLMs/VLMs, Agentic Systems, and AI Infrastructure.
• Drive PoCs and pilot programs to evaluate new technologies and their business impact.
• Represent the AI function in strategic discussions, product roadmaps, and technology planning.

Gen AI – Engineering Lead

Insurance

• Reinsurance Setup, Sanctions & Submission clearance in the system.
• Facultative & Treaty Reinsurance Contract Management - Setting up & maintaining the reinsurance contract.
• Post bind work like Cancellation/endorsement management.
• Premium - Calculating and booking of reinsurance premiums and processing bordereaux in the system.
• Calculating & booking of contractual obligations like Profit commission, Prem adjustments, No claims bonus etc.
• Ensure the quarterly and yearly instructions are reviewed and incorporated.
• Analysis of actual results compared with expectations, as well as prior periods.
• Communicate with customer on day-to-day basis and internal stakeholder on regular basis
• Team handling skills, daily query handling, feedback management to iron out the operational challenges and driving improvements (Lean) to bring better controls.
• Exposure towards training methodology to drive effective training to bring desired result.

Lead Assistant Manager – Insurance, Back Office

Operations

• Planning and directing the development and implementation of business and people strategies
• Responding to the process’ RFPs by creating a customized solution
• Creating end state design, FTE sizing and deployment, shift planning
• Migration and implementation plans
• Providing pricing related inputs to the pricing team
• Interfacing with client teams to seek clarifications on the RFP
• Presenting solutions to key stakeholders

Assistant Vice President – Operations

Marketing

• Write and edit proposal documents
• Manage the proposal process, organize kick-off meetings and deliver proposals within the required timelines
• Ensure that the shell template meets RFP requirements, subsequent drafts carry the right content tailored to the opportunity and final document is Brand & Regulatory compliant
• Work with client service professionals and subject matter experts in Canada in developing winning proposals
• Be an active member of the Canadian Pursuits/Proposals team

Assistant Manager – Marketing, Proposal Support

Project Manager

• A Project Manager is responsible for planning, executing, and closing projects within an organization.
• This role involves coordinating resources, managing timelines, and ensuring that projects are completed on time, within scope, and within budget.

Project Management

• Support a US-based client in Debit Card Fraud Strategy
• End-to-end ownership of fraud monitoring, strategy development, performance management, and loss optimization across debit card transactions
• Design, optimize, and monitor debit card fraud strategies across card-present and card-not-present transactions
• Perform root-cause analysis on fraud spikes and emerging trends.