Design, develop, and deliver production-ready AI solutions for clients while maintaining hands‑on engineering involvement.
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is $102,400.00 - $204,100.00 per year.
Responsibilities
Architect end‑to‑end AI solutions including generative AI, agentic systems, and RAG
Lead solution architecture for AI build and proof‑of‑concept engagements
Remain hands‑on across solution development, coding, data integration, and debugging
Design and implement cloud‑native AI solutions on Azure, AWS, and GCP
Define architecture and integration patterns for LLMs, vector databases, APIs, microservices
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
Nice to have: Master's degree in a technical field
Nice to have: cloud or architecture certifications
Nice to have: experience with OpenAI, Anthropic, Google LLMs
Nice to have: experience designing evaluation frameworks for LLMs
We are looking for an AI Consultant to help the largest global enterprises get real business value from Artificial Intelligence on AWS, as part of AWS ProServe India LLP.
Responsibilities
Understand the internal customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances
Assist internal customers by delivering a ML/DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization
Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models
Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models
Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data
Requirements
Nice to have: customer-facing consulting roles
Nice to have: turning business problems into technical solutions
Nice to have: presenting to technical and business stakeholders
Nice to have: enabling partner delivery teams
Nice to have: AWS certifications such as AWS Certified Machine Learning – Specialty, AWS Certified AI Practitioner or AWS Certified Solutions Architect
Lead the design and implementation of prototype architectures for AWS PACE, building generative AI and cloud-native solutions for enterprise customers across France and Europe South.
Responsibilities
Partner with Prototype Engagement Manager and stakeholders to qualify and scope new prototype opportunities
Support customers’ agentic transformation with AWS, translating business use cases into buildable prototypes
Lead design and implementation of prototype architectures focusing on Generative AI and agentic technologies
Deliver 3 to 6 week hands‑on prototype projects with customers and partners
Drive continuous technical enablement and knowledge transfer to customers and partners
Lead our pioneering AI initiative at AWS and define the future of AI agents. Shape how businesses leverage artificial intelligence by creating foundational building blocks used across AWS business applications.
Compensation
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
Responsibilities
Own the technical architecture and strategy for a critical AI agent capability area, setting the foundation for enterprise-scale AI solutions across AWS
Lead projects requiring multiple engineers, balancing business goals with technical excellence while navigating ambiguous problem spaces
Research, evaluate, and integrate state-of-the-art AI technologies, making informed decisions about build vs. leverage approaches
Design and implement reusable AI components that meet enterprise-grade quality standards while simplifying complex technical challenges
Drive consensus across teams with different priorities and perspectives to create unified AI building blocks
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: 10+ years of full software development life cycle
Lead technology delivery for enterprise AI products, owning product strategy, roadmap, and execution across the organization.
Responsibilities
Define and drive product vision, strategy, and multi-quarter roadmap
Translate organizational goals into actionable product requirements, delivery plans, and success metrics
Serve as technical voice of the product, partnering with engineers and architects on model development, data pipelines, APIs, cloud platforms, and AI infrastructure
Lead rapid AI proof-of-concepts and recommend next steps
Drive delivery across cross-functional teams, managing risks, dependencies, trade-offs, vendor deliverables, and cadence
Requirements
MBA or advanced degree in computer science, engineering, data science, or a related technical field
Lead the Data function across Machine Learning, Data Science, Analytics, and Data Engineering, setting technical direction, developing people, and strengthening data-driven decision making.
Locations (4)
Austin, Texas, United States
Illinois, United States
Texas, United States
Colorado, United States
Responsibilities
Directly manage, coach, and develop ML Engineers, Data Analysts, and Data Engineers
Shape hiring, develop technical leaders and qualified reviewers, and delegate decisions
Set a practical ML and data strategy with Technology leadership, Product, and business stakeholders
Hands-on engineering role focused on building, deploying, and operating AI systems in a regulated enterprise environment, specifically building LLM-based applications and RAG pipelines.
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Anticipated Hiring Range: $120,000 - $150,000 annual base salary depending on experience, qualifications, and geographic location; $130,000 - $170,000 annual base salary depending on experience, qualifications, and geographic location in CA, CT, MA, NJ, NY, and PA
Responsibilities
Design and implement end-to-end AI/ML solutions including LLM-based applications
Build RAG pipelines using vector databases and enterprise data sources
Build machine learning models that automate their training, validation, monitoring, and retraining
Develop APIs and services to operationalize AI capabilities across the organization
Build ingestion for multimodal content and transformation pipelines for structured and unstructured data
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