> Markdown version of [/jobs/ext/4404481-slalom-flex-project-based-sr-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/4404481-slalom-flex-project-based-sr-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Slalom Flex (Project Based)- Sr. AI/ML Engineer - **Company:** Slalom, LLC - **Location:** Albany, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $166,400.0 - $208,000.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, AI Evaluation, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Engineering, Memory Management, Identity and Access Management, Software Engineering, Systems Integration, Retrieval-Augmented Generation, Multi-Agent Systems, Prompt Engineering, AgentCore, Generative AI, Agentic-AI, Cloudformation, AI Platforms, Amazon Bedrock, CrewAI, Machine Learning Operations, Functional Programming, Api Gateway, Model Context Protocol, Terraform - **Published:** October 22, 2026 - **Apply:** https://www.disabledperson.com/jobs/76175030-slalom-flex-project-based-sr-ai-ml-engineer ## About the Role Candidates must be authorized to work in the United States without current or future employer sponsorship., The ideal candidate combines deep Generative AI expertise with strong AWS engineering experience and a proven track record delivering production-ready AI applications., * 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. ## Description * 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.