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No responsibilities or details were provided. The posting only lists the job title "AI Engineer" with no additional information about duties or expectations.

Senior AWS Analytics Engineer. Posting contains no detailed responsibilities or qualifications beyond the job title.

Design, build, and maintain both front-end and back-end components of web applications as a Full Stack Developer. Collaborate with cross-functional teams to implement features, fix bugs, and support deployment and maintenance.

No responsibilities provided in the job description.

Provide sector-focused strategic advisory on AI-driven industry transformation. Analyze market, competitor, regulatory, and technology signals; translate AI implications into business opportunities, capability investments, and executive briefings. Partner with business leaders to shape go-to-market strategies, thought leadership, and industry opportunity maps to drive EXL's strategic planning and client engagements.

Design and deploy enterprise-grade generative AI systems across the 7-layer stack, select and fine-tune models, build LLMOps pipelines and observability, integrate with cloud platforms and APIs, enforce data protection, manage hallucinations, lead technical strategy, and act as onshore client technical liaison.

Design, develop and maintain conceptual, logical and physical enterprise data models. Translate business requirements into scalable data solutions, define source-to-target mappings, support relational and NoSQL implementations, optimise performance, drive data modelling standards, perform reverse engineering, and advise stakeholders on data architecture, governance and integration throughout project lifecycles.

Support compliance with income tax laws and regulations by researching tax rules, gathering data from internal stakeholders, preparing and maintaining workpapers for federal, state, and local tax filings, storing correspondence in the document repository, and completing ad hoc tasks assigned by the supervisor.

Lead and own financial accounting and reporting processes, drive timely close and reconciliations (AR/Cash/Bank), support audits, liaise with stakeholders, identify improvements, and manage escalations and special projects.

Lead a team to develop strategy, allocate and manage resources, run team meetings, and track performance metrics to ensure goals are met and operations run efficiently.