Remote Position
[Remote] Slalom Flex (Project Based)- Sr. AI/ML Engineer
🌍 Remote · United States
💼 Full-time
Note: The job is a remote job and is open to candidates in USA. Slalom is seeking a Senior AI/ML Engineer to design, build, and deploy enterprise-scale agentic AI solutions on AWS. The role focuses on production-grade multi-agent systems, enterprise integrations, and secure, scalable cloud architectures.
Responsibilities
- Design and develop agentic AI solutions and multi-agent workflows
- Build, deploy, and support production-grade AI applications on AWS
- Develop agent orchestration frameworks and reusable AI platform components
- Implement RAG, prompt engineering, memory management, and context engineering patterns
- Integrate AI agents with enterprise APIs, applications, and data sources
- Design secure multi-account AWS architectures and access controls
- Lead technical design discussions and mentor engineering teams
- Drive solution delivery from architecture through deployment and operational support
Skills
- Candidates must be authorized to work in the United States without current or future employer sponsorship
- 7+ years of software engineering experience with advanced Python development skills
- Hands-on experience building and deploying production Generative AI solutions
- Experience with agent orchestration frameworks such as LangGraph, CrewAI, Strands, or similar
- Strong knowledge of RAG, prompt engineering, context engineering, memory management, and agent state management
- Experience with MCP (Model Context Protocol) and agent-to-agent communication patterns
- Strong AWS experience, including Amazon Bedrock, Lambda, API Gateway, S3, IAM, KMS, Secrets Manager, and ECR
- Experience designing secure, multi-account AWS environments, including IAM roles, trust relationships, and permission models
- Experience integrating enterprise APIs and building cloud-native AI applications
- Infrastructure-as-Code experience using Terraform or CloudFormation
- Strong communication skills with the ability to lead technical discussions and mentor engineers
- Experience with Bedrock AgentCore services and AI observability frameworks
- Experience with event-driven AWS architectures and AI evaluation frameworks
- Knowledge of vector databases and enterprise retrieval architectures
- Experience within financial services or other regulated industries
- Experience building shared AI platforms, accelerators, or enterprise-scale AI solutions
Benefits
- Meaningful time off and paid holidays
- 401(k) with a match
- A range of choices for highly subsidized health, dental, & vision coverage
- Adoption and fertility assistance
- Long-term disability
- Yearly $350 reimbursement account for any well-being-related expenses
Company Overview