Slalom · 9 hours ago
AWS AI Application Engineer/Architect
Colorado, United States
Full-time
Onsite
Mid, Senior Level, Lead/Staff
$119K/yr - $148K/yr
4+ years expSlalom is a modern technology consulting company that focuses on delivering innovative solutions to complex business problems. They are seeking AWS AI Application Engineers/Architects to design, build, and scale AI-enabled solutions on AWS while engaging in hands-on application engineering and client-facing consulting. The role involves modernizing applications, implementing AI solutions, and providing technical guidance to clients.
CollaborationConsultingIT ManagementManagement ConsultingProject Management
Responsibilities
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, DynamoDB, 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 DevOps 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, SageMaker, 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 DevOps and MLOps teams to support model training, fine-tuning, deployment, and monitoring
Monitor and optimize AI solutions using SageMaker Model Monitor, CloudWatch, 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
Qualification
Required
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, DynamoDB, Aurora, Step Functions, SNS, SQS, Kinesis, and CloudFront
Experience with DevOps and Infrastructure-as-Code tools such as Terraform, CloudFormation, or AWS CDK
Familiarity with CI/CD pipelines, automation, and modern delivery practices (Agile, DevOps, GitOps)
Experience with AWS AI/ML services such as Amazon Bedrock, SageMaker, Comprehend, Transcribe, Translate, or Rekognition
Understanding of cloud security, IAM, encryption, data privacy, and responsible AI practices
Strong communication skills with the ability to engage both technical and non-technical stakeholders
Comfort operating in a consulting environment where responsibilities include delivery, design, and advisory work
Preferred
AWS certifications, including: AWS Certified Solutions Architect – Associate or Professional, AWS Certified Developer – Associate, AWS Certified DevOps Engineer – Professional, AWS Certified Machine Learning – Specialty
Hands-on experience with Generative AI and Agentic AI, including LLMs, prompt engineering, fine-tuning, and agent orchestration
Familiarity with LangChain, Hugging Face, LlamaIndex, or similar frameworks
Experience with modernization accelerators such as App2Container or Migration Hub Refactor Spaces
Consulting firm experience (global SI, boutique consultancy, or similar)
Exposure to multi-cloud AI platforms (Azure OpenAI, Google Vertex AI)
Benefits
Meaningful time off and paid holidays
Parental leave
401(k) with a match
A range of choices for highly subsidized health, dental, & vision coverage
Adoption and fertility assistance
Short/long-term disability
Yearly $350 reimbursement account for any well-being-related expenses
Discounted home, auto, and pet insurance
Company
Slalom
Slalom Consulting is a business and technology consulting firm that designs and builds strategies and systems to help its clients
10001+ employees
H1B Sponsorship
Slalom has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (215)
2024 (258)
2023 (250)
2022 (614)
2021 (254)
2020 (220)
Funding
Current Stage
Late StageTotal Funding
$1.69M2013-04-12Series Unknown· $1.69M
Leadership Team
Brad Jackson
CEO
John Tobin
Co-Founder and Executive President, EMEA & APAC
Recent News
2025-12-11
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Research & Development World
2025-10-21
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