General Information

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

Business Function

Data & analytics

Date posted

Monday, October 19, 2026

Ref #

2424

Description and Requirements

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, Mult…