AI & Cloud Platform Consultant

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteLeadTeam 10,001+Since 1931H1B SponsorCompany SiteLinkedIn

Location

Illinois

Posted

1 day ago

Salary

$134K - $209.8K / year

Seniority

Lead

Bachelor Degree7 yrs expEnglishAWSAzureCloudGoogle Cloud PlatformPythonScalaSparkSQLTerraform

Job Description

• Act as a trusted technical advisor to engineering and product teams on platform architecture, modernization, and best practices; build credibility and influence with engineering and digital product leadership to shape backlogs, standards, and engineering practices. • Provide strategic direction for platform evolution, ensuring business and technology roadmaps are aligned both tactically and strategically, from near‑term delivery through long‑term capability development. • Design, prototype, and evolve core platform components, contributing to the broader enterprise architecture and enabling engineering teams with scalable, secure, and well‑documented reference solutions. • Evaluate, design, and integrate AI/ML capabilities into platform services, including model consumption patterns, automation, and intelligent workflows that deliver measurable business value. • Lead platform assessments and architectural reviews, conducting stakeholder alignment, risk analysis, and structured problem‑solving to support high‑priority initiatives and critical decision‑making. • Influence Discovery, Framing, and Inception activities across the ecosystem, applying architectural simplicity and sound engineering principles to drive clear outcomes and reduce complexity. • Apply industry standards and assess emerging technologies, synthesizing and communicating relevant insights to the broader engineering community to ensure platform solutions meet enterprise expectations. • Collaborate closely with security, risk, and compliance teams to ensure platform architectures adhere to governance, regulatory, and security requirements by design. • Provide technical mentorship and thought leadership, including documentation standards, and knowledge sharing across platform consultants and engineering teams.

Job Requirements

  • 7+ years of progressive experience in software engineering, platform engineering, and/or solution architecture
  • Proven expertise designing and delivering cloud-native analytical architectures on at least one major cloud platform (Microsoft Azure, AWS, or Google Cloud Platform), including production-scale deployments.
  • Strong hands-on proficiency in at least two of the following technologies: Python, Spark/Scala, Terraform/Env0, and SQL, with the ability to apply them to real-world platform and data engineering challenges.
  • Solid understanding of cloud networking concepts, including virtual networks, routing, security boundaries, and hybrid connectivity patterns.
  • Demonstrated ability to design and implement scalable, secure, and resilient data, security, and integration architectures suitable for enterprise-grade solutions.
  • Experience with DevOps and platform engineering practices, including CI/CD pipelines, infrastructure as code, Github, and automated environment provisioning.
  • Excellent communication skills, with the ability to clearly articulate complex technical concepts to both technical audiences and non-technical stakeholders.
  • Strong analytical and problem-solving skills, with comfort operating in fast-paced, evolving environments and navigating ambiguity.

Benefits

  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development

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