AI Solutions Engineer: Enterprise-Scale AI Delivery

Daimler AG

Atlanta (GA)

On-site

USD 150,000 - 210,000

Full time

6 days ago
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Job summary

Mercedes-Benz USA, headquartered in Atlanta, Georgia, seeks an Adv, AI Solutions Engineer to deliver secure, scalable AI solutions across Azure, AWS, SaaS, and hybrid environments. You will partner with business and IT teams to transform AI concepts into production-ready applications, driving measurable improvements in productivity and customer experiences.

You will lead architecture reviews, develop reusable patterns, and enable internal teams with AI tooling and best practices while aligning

Qualifications

  • Bachelor’s degree or equivalent in a related field.
  • 9+ years in software/platform/cloud/solution engineering, with AI delivery.
  • Hands-on with large language models, RAG, prompts, and cloud AI services.
  • Proficient in Java, Python, and/or TypeScript/JavaScript.

Responsibilities

  • Own the technical lifecycle of high-value AI use cases from discovery to production deployment and improvement.
  • Design and deploy AI-enabled apps, agents, retrieval-augmented generation, integrations and workflows across cloud/hybrid environments.
  • Provide architectural reviews, code walkthroughs, and enablement to internal teams on AI patterns and best practices.
  • Collaborate with Enterprise Architecture, Cybersecurity, Data Protection, Legal, and DevSecOps to enforce controls and standards.

Skills

AI/ML concepts
Programming (Java, Python, TypeScript)
APIs & microservices
CI/CD & containers
Strong communication & stakeholder mgm

Education

Bachelor’s degree in Computer Science/Engineering/IT

Tools

Azure OpenAI Service
AWS Bedrock
Google Vertex AI
Kubernetes
Docker

Job description

Mercedes-Benz USA, headquartered in Atlanta, Georgia, seeks an Adv, AI Solutions Engineer to deliver secure, scalable AI solutions across Azure, AWS, SaaS, and hybrid environments. You will partner with business and IT teams to transform AI concepts into production-ready applications, driving measurable improvements in productivity and customer experiences.

You will lead architecture reviews, develop reusable patterns, and enable internal teams with AI tooling and best practices while aligning

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