Job
In this role, you will design scalable generative AI architectures for large enterprises in automotive and manufacturing, create strategic technical roadmaps, and implement complex workflows using AWS services.
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Your role in the team
- Are you passionate about pioneering the future of generative AI and eager to help global enterprises solve real-world challenges using AI solutions? The Automotive & Manufacturing Generative AI Solutions Architecture team at AWS seeks experienced technologists who possess a unique balance of technical depth and strong interpersonal skills.
- As a trusted customer advocate and Generative AI Solutions Architect, you'll partner with some of the world's largest automotive and manufacturing companies to craft highly scalable AI architectures that address critical business problems and accelerate the adoption of AWS's comprehensive AI stack.
- You will join a specialized team of Solutions Architects dedicated exclusively to generative AI, working alongside account managers and account Solutions Architects to drive AI innovation across global customers.
- You'll help organizations understand best practices and effectively implement generative AI capabilities within their existing cloud infrastructure.
- Through close collaboration with product teams, you will influence AWS's generative AI roadmap while architecting sophisticated solutions that combine AWS's AI capabilities.
- In this role, you will shape and execute strategies to build mind share and broad adoption of AWS's AI services among automotive and manufacturing customers.
- You'll design architectures that enable AI systems to process complex queries, interact with enterprise data sources, and efficiently complete multistep tasks with agentic AI.
- Whether implementing RAG-enabled knowledge bases, designing custom model fine-tuning solutions, or architecting enterprise-wide AI systems, you'll help organizations build scalable, maintainable solutions that evolve with their business needs and drive unprecedented transformation across the industry.
- Develop strategic technical roadmaps and implementation plans for generative AI solutions that align with customers' business objectives and existing architecture.
- Design and implement generative AI architectures that orchestrate complex workflows across enterprise systems, leveraging AWS services like Amazon Bedrock, SageMaker, Kiro, and Amazon Quick.
- Credibly advise senior technical and executive stakeholders on architectural trade-offs, risks, and long-term AI strategy, translating complex technical concepts into business language that demonstrates clear value and informs strategic decision-making.
- Mentor team members and contribute to knowledge sharing within the organization to advance AI adoption and implementation best practices.
- Lead thought leadership initiatives and represent AWS externally by evangelizing its generative AI capabilities through public speaking at industry events (re:Invent and AWS Summit), publishing technical content (blogs, white papers, reference architectures), and sharing best practices with the broader AI/ML community.
- Stay current with the latest advancements in generative AI research, AWS services, and partner capabilities to improve system performance and recommend optimal technology stacks.
- Define and implement evaluation frameworks for AI systems, including model performance benchmarking, output quality assessment, and operational monitoring (AIOps), ensuring deployed solutions meet enterprise reliability and governance standards.
Our expectations of you
Experience
- Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
- Experience in design, implementation, or consulting in applications and infrastructures.
- Experience in IT development or implementation/consulting in the software or Internet industries.
- Experience communicating with technical and non-technical audiences, including executive-level stakeholders and clients.
- Experience designing, developing, and optimizing prompts and templates that guide LLM behavior.
- Experience with the design, deployment, and evaluation of LLM-powered agents and orchestration.
- Experience with AI system evaluation methodologies, including LLM evaluation frameworks, automated testing pipelines, and AIOps practices for monitoring and operating AI workloads at scale.
- Experience with robotics, autonomous systems, or Physical AI development.
- Experience building AI applications powered by language models using frameworks such as LangChain, Strands, or others.
What we offer
- You will join a team that brings deep expertise to customers through every layer of the AI stack, helping organizations think strategically about their AI initiatives and business challenges.
- At Amazon, we've been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products today are driven by machine learning.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Amazon wants to be the most customer-centric company in the world. That means, for example, that customers should be able to find everything they want to buy online on Amazon. We focus on the things that are important to Amazon customers: low prices, a wide selection, and fast availability. That's how Amazon continues to evolve as the world's leading e-commerce and technology company.
- Established Company
- Hybrid, Onsite
- Trade · Internet, IT, Telecommunication
Employer reviews
- Engineering
- 3.2
- Career growth
- 3.6
- Working conditions
- 4.4
- Team culture
- 3.3
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