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