AWS AI Application Engineer​/Architect

Who You’ll Work With

As a modern technology company, Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We build strategies, solutions, and products that help organizations solve their most complex and interesting business problems. Our teams are surrounded by interesting challenges, innovative minds, and emerging technologies.

We are seeking AWS AI Application Engineers / Architects to help clients modernize applications and design, build, and scale AI-enabled solutions on AWS. This role blends hands‑on application engineering, cloud and AI architecture, and client‑facing consulting.

You will work across levels, from engineers focused on delivery and implementation to architects leading solution design, client strategy, and technical direction—while all levels remain engaged in hands‑on problem solving.

At Slalom, we invest heavily in our partnership with AWS and at AWS re:

Invent 2025, we were honored with four AWS Partner of the Year awards. These included Industry Partner of the Year for both Retail & Consumer Packaged Goods and Travel & Hospitality (Consulting – Global), as well as State or Local Government Consulting Partner of the Year and Non‑Profit Organization (NPO) Consulting Partner of the Year.

• Design, modernize, and optimize enterprise applications on AWS using cloud‑native architectures.
• Lead or contribute to application modernization initiatives, including re‑platforming, re‑architecting, and refactoring legacy applications.
• Build and evolve applications using microservices, event‑driven, and serverless‑first designs.
• Implement solutions leveraging AWS services such as EKS, ECS, Lambda, API Gateway, Step Functions, App Runner, Dynamo
  
  DB, Aurora, and RDS.
• Apply containerization best practices using Docker, Kubernetes (EKS), and ECS to ensure scalability, resilience, and performance.
• Develop and maintain CI/CD pipelines and cloud‑native Dev Ops workflows.
• Ensure designs meet enterprise requirements for security, compliance, observability, and disaster recovery.

• Design and implement Generative AI and Agentic AI solutions using Amazon Bedrock, Sage Maker, Lambda, and API Gateway.
• Build and optimize LLM‑powered applications, including intelligent assistants, autonomous agents, enterprise search, customer service automation, and content generation.
• Architect agent workflows capable of multi‑step reasoning, tool usage, and integration with enterprise systems.
• Integrate AI capabilities into modernized applications where they deliver clear business value.
• Partner with Dev Ops and MLOps teams to support model training, fine‑tuning, deployment, and monitoring.
• Monitor and optimize AI solutions using Sage Maker Model Monitor, Cloud Watch, and custom observability approaches.

• Partner with clients as a trusted technical advisor, with expectations scaling by level.
• Participate in or lead discovery sessions, technical workshops, and architecture discussions.
• Translate business needs into practical, scalable AWS and AI solution designs.
• Present recommendations and architectures to both technical and executive audiences.
• Provide guidance on AI governance, responsible AI, security, and compliance.
• Collaborate with sales, account teams, and delivery leaders to ensure successful solution adoption.
• Stay current on AWS innovations, AI trends, and emerging technologies to provide thought leadership.

• 4–10+ years of experience in application development, engineering, architecture, or cloud solutioning.
• 3–7+ years of experience delivering solutions on AWS.
• Hands‑on experience modernizing applications using microservices, containers, and/or serverless architectures.
• Strong knowledge of AWS services including EKS, ECS, Lambda, API Gateway, App Runner, Dynamo
  
  DB, Aurora, Step Functions, SNS, SQS, Kinesis, and Cloud Front.
• Experience with Dev Ops and Infrastructure‑as‑Code tools such as Terraform, Cloud Formation, or AWS CDK.
• Familiarity with CI/CD pipelines, automation, and modern delivery practices (Agile, Dev Ops, Git Ops).
• Experience with AWS AI/ML…