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Senior Cloud Consultant

Diverse Lynx · Indianapolis, IN

Strong hiring record · median 3 days open

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  • Posted today
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Senior Cloud Consultant at Diverse Lynx. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Role: Senior Cloud Consultant

Pay Rate

$45.00 to $50.00 Per Hour

Location

Indianapolis, IN

Duration

6 Months (Extendable)

ROLE SUMMARY

We are seeking a highly skilled Senior Cloud Consultant with a specialization in Artificial Intelligence and Cloud-Native Solutions to lead the design, implementation, and Eligible to workimization of modern cloud-based applications. This individual will serve as the AI and Cloud champion within the consulting team, helping drive the strategy, architecture

KEY RESPONSIBILITIES

  • Cloud Architecture & Solution Design · Lead the design and implementation of cloud-native applications and enterprise solutions on AWS, Azure, or other cloud platforms. · Define scalable, secure, resilient, and cost-Eligible to workimized cloud architectures. · Establish cloud design patterns, best practices, and governance standards. · Evaluate and recommend cloud services, frameworks, and technologies aligned with business requirements. · Collaborate with development teams to ensure successful solution delivery and operational excellence. · Conduct architecture reviews and provide technical leadership across multiple projects
  • AI Enablement & Innovation · Identify opportunities to leverage Artificial Intelligence, Generative AI, Machine Learning, and intelligent automation across business processes and products. · Design and implement AI-enabled solutions using services such as: o Amazon Bedrock o Amazon SageMaker o AWS AI Services o Azure OpenAI o Open-source LLM frameworks · Develop AI use cases, proof-of-concepts, and production-ready solutions. · Partner with stakeholders to assess feasibility, business value, and implementation strategies for AI initiatives. · Define patterns for Retrieval-Augmented Generation (RAG), AI agents, model orchestration, and enterprise search integrations. · Promote responsible AI adEligible to workion, governance, security, compliance, and ethical AI practices

PREFERRED SKILLS

  • AWS Solutions Architect Professional certification. · AWS Machine Learning Specialty certification. · Microsoft Azure AI Engineer certification

Skills

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