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Process transactions according to desktop procedures, meet SLA targets, maintain transaction quality, submit daily process reports, follow attendance schedules, and comply with company policies. The role reports performance and concerns to an Assistant Manager and Manager, while coordinating with subject matter experts for process-related support and clarification.

Manage end-to-end freight operations, including load tracking, appointment scheduling, route and transit review, carrier inquiry resolution, accessorial processing, billing coordination, and stakeholder communication. The role monitors shipments from pickup through delivery, updates operational systems, supports accurate accounts payable processing, and resolves issues with carriers, customers, and internal teams in a time-sensitive, shift-based environment.

Lead development of LLM-powered applications and agentic workflows: implement RAG pipelines, vector DB integrations, prompt orchestration, AI agents, and REST microservices. Optimize inference, deployment (containers/CI-CD/cloud), and evaluate model accuracy/hallucination. Debug performance issues and document designs.

Lead architecture and delivery of enterprise Generative AI solutions: design LLM-based RAG pipelines, multi-agent systems, and secure cloud deployments; establish LLMOps best practices; advise clients, run PoCs, and mentor engineering teams to operationalize scalable, compliant AI systems.

Manage intraday staffing and service levels for operations in Noida, India, and the Philippines. Responsibilities include monitoring schedule adherence, analyzing intraday performance, creating accurate reports, communicating with internal and external stakeholders, and supporting service-level objectives through workforce management processes.

Develop, maintain, and execute automated web and API tests; build automation frameworks and integrate them with CI/CD pipelines. Manage testing deliverables, participate in Agile ceremonies, perform database validation, communicate with clients, and train testing teams. The role also involves estimating automation projects and may include GenAI/LLM model testing.

The job description provides no substantive responsibilities or qualifications beyond the title AWS Analytics Engineer.

The job description provides minimal information. The Cloud Architect role lists cloud architecture as its sole responsibility, with no specific duties, technologies, experience requirements, or qualifications described.

Design and deploy production-grade Generative AI and Agentic AI solutions for claims processing, underwriting, customer servicing, and decision automation. Analyze structured and unstructured data, apply advanced analytics and machine learning techniques, identify process inefficiencies, and develop intelligent workflow solutions. Collaborate with clients and internal teams, facilitate working sessions, lead status meetings, identify growth opportunities, and serve as a trusted advisor to stakeholders.