Job description

Senior AI/ML Engineer (Agentic AI) Location: Remote, EST hours Employment Type: Project-based contract Duration: 12+ Months Employment Eligibility: This position is not available for Corp-to-Corp (C2C), Contract-to-Hire (C2H), or third-party agency arrangements. Candidates must be authorized to work in the United States without current or future employer sponsorship. About Us Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six+ countries and 43+ markets, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We’re honored to be consistently recognized as a great place to work, including being one of Fortune’s 100 Best Companies to Work For seven years running. Learn more at Slalom.com. Overview We are seeking a Senior AI/ML Engineer to design, build, and deploy enterprise-scale agentic AI solutions on AWS. This role will focus on developing production-grade multi-agent systems, integrating AI capabilities with enterprise platforms, and establishing secure, scalable cloud architectures. The ideal candidate combines deep Generative AI expertise with strong AWS engineering experience and a proven track record delivering production-ready AI applications. 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. Required Qualifications • 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. Preferred Qualifications • 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. Key Skills Python, Generative AI, Agentic AI, Multi-Agent Systems, LangGraph, CrewAI, Amazon Bedrock, AWS Architecture, RAG, MCP, API Integration, Terraform, CloudFormation, IAM Security. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include 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, and long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses. Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is 80-100/hr . Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. EEO and Accommodations Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process. Locations: Albany, NY; Austin, TX; Baltimore, MD; Birmingham, AL; Boston, MA; Buffalo, NY; Charlotte, NC; Chicago, IL; Cincinnati, OH; Columbia, SC; Dallas, TX; Detroit, MI; Grand Rapids, MI; Harrisburg, PA; Houston, TX; Jacksonville, FL; Miami, FL; Milwaukee, WI; Minneapolis, MN; New Brunswick, NJ; New York, NY; Oklahoma City, OK; Orlando, FL; Philadelphia, PA; Pittsburgh, PA; Providence, RI; Raleigh, NC; Richmond, VA; Rochester, NY; San Antonio, TX; San Francisco, CA; Silicon Valley, CA; Tallahassee, FL; Tampa, FL; White Plains, NY

Requirements

Must-haves

Senior AI/ML Engineer (Agentic AI)
Location: Remote, EST hours
Employment Type: Project-based contract
Duration: 12+ Months
Employment Eligibility: This position is not available for Corp-to-Corp (C2C), Contract-to-Hire (C2H), or third-party agency arrangements.
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.
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.
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 .

Nice-to-haves

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.
Python, Generative AI, Agentic AI, Multi-Agent Systems, LangGraph, CrewAI, Amazon Bedrock, AWS Architecture, RAG, MCP, API Integration, Terraform, CloudFormation, IAM Security.

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Keywords to mirror

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Platform: slalom
Effort: medium

Benefits

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Dental

Vision

401(K)