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EXL
EXL
Kvalificēta darbinieka vīzas sponsorsApdrošināšanaLoģistikaVeselības aprūpe
EXL ir biznesa konsultāciju un pakalpojumu uzņēmums, kas palīdz organizācijām izmantot datus, analītiku un tehnoloģijas, lai uzlabotu darbību un pieņemtu labākus lēmumus. Uzņēmuma darbība ietver operāciju pārvaldību, lēmumu analītiku un digitālo transformāciju, kā arī pieredzi darbā ar klientiem veselības aprūpes, apdrošināšanas, finanšu un loģistikas nozarēs. EXL apvieno datu zinātni ar praktisku uzņēmējdarbības kompetenci, lai izstrādātu risinājumus, kas pielāgoti katras organizācijas mērķiem, darbības modelim un nozares kontekstam.
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Vakances uzņēmumā

Senior Generative AI Engineering Lead at EXL (Hybrid, United States)

Lead the design of enterprise-scale LLM and agentic AI solutions. Build governed, production-ready workflows across AWS, Google Cloud, and Snowflake.

USAmerikas Savienotās ValstisHibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuFull-stack inženierisProgrammatūras inženieris
AWSGoogle Cloud PlatformMākonisPython

Apraksts

  • Design and deliver enterprise GenAI systems with LLMs, foundation models, and agentic AI frameworks.
  • Create reusable AI patterns, accelerators, and reference architectures.
  • Turn business challenges into scalable AI workflows and production-ready proofs of concept.
  • Modernize AI platforms by applying emerging GenAI technologies and established practices.
  • Create and maintain prompt engineering frameworks that produce controlled, reliable LLM outputs.
  • Set up prompt versioning, lifecycle management, and testing practices.
  • Build AI safeguards for hallucinations, bias, security threats, and compliance needs.
  • Develop scalable orchestration pipelines with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar tools.
  • Create reusable AI components, tools, agents, and workflow templates.
  • Build multi-agent systems and autonomous workflows.
  • Work with business stakeholders to identify valuable AI use cases.
  • Create AI prototypes and MVPs using synthetic and enterprise data.
  • Turn prototypes into production applications that meet scalability, security, and reliability standards.
  • Design scalable GenAI architectures across AWS, Google Cloud, and Snowflake.
  • Use Amazon Bedrock, SageMaker, Vertex AI, Snowflake Cortex AI, and other cloud-native AI services.
  • Design RAG systems using vector databases, embeddings, and semantic search.
  • Improve model deployment, inference speed, and infrastructure cost efficiency.
  • Create evaluation frameworks for accuracy, relevance, latency, safety, and business impact.
  • Develop benchmarks for prompts, models, and workflows.
  • Define KPIs, observability practices, and monitoring strategies.
  • Improve model performance through prompt tuning, retrieval improvements, and workflow refinements.

Prasības

  • Bachelor’s or master’s degree in computer science, artificial intelligence, data science, engineering, or a related discipline.
  • At least 8 years of experience in software engineering, machine learning, data engineering, or AI solution development.
  • At least 4 years of hands-on experience with generative AI, LLMs, and foundation models.
  • Strong background designing enterprise GenAI solutions with advanced LLM architectures and prompt frameworks.
  • Expertise developing scalable AI workflows, orchestration pipelines, and reusable AI components.
  • Ability to turn business needs into production-ready AI solutions and prototypes using synthetic data.
  • In-depth knowledge of prompt versioning, governance, safeguards, and controlled LLM outputs.
  • Strong understanding of AI evaluation frameworks, benchmarking methods, and optimization techniques.
  • Experience with vector databases, embeddings, semantic search, and RAG architectures.
  • Strong Python skills and familiarity with modern AI and machine learning development frameworks.

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KonsultācijasLoģistikaMārketings
USAmerikas Savienotās ValstisAZArizona
150 000 $ – 175 000 $ / gads
AttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuPārdošana

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