AI Solutions Engineer – Experienced

Federal Reserve Board

. Develop and maintain enterprise-scale AI/ML solutions using Generative AI, RAG, and Agentic AI frameworks .

Posted 10/7/2026full-timeUnited StatesMid-LevelSenior💰 $94,600 - $153,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining AI/ML solutions using Generative AI, RAG, and Agentic AI frameworks, with strong capabilities in AWS services, Terraform, and CI/CD practices. Proficient in Python and Bash for automation, alongside a solid understanding of security principles and compliance standards.

Highest-signal resume keywords

Generative AI Solutions DevelopmentAWS Bedrock and AI/ML ServicesTerraform Module DevelopmentCI/CD Automation with GitLabPython and Bash Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Generative AIRAGAgentic AITerraformAWS EC2AWS S3AWS LambdaGitLab CI/CDPythonBash

Soft Skills

Excellent Communication SkillsLeadership in Technical DiscussionsMentoring Junior Engineers

Tools & Technologies

AWS CloudGitReactSQL DatabasesNoSQL Databases

Certifications & Qualifications

Information Technology CertificationsAI/ML Certifications

Industry Keywords

AI/ML EngineeringCloud InfrastructureDevOpsAgile MethodologiesCompliance Standards

Tech Stack

Tools & technologies

AWSCloudEC2NoSQLPythonReactSQLTerraform

About the role

Key responsibilities & impact

Develop and maintain enterprise-scale AI/ML solutions using Generative AI, RAG, and Agentic AI frameworks
Design and implement scalable, secure, and efficient AI-powered systems supporting critical Federal Reserve business functions
Develop conceptual, logical, and physical AI/ML solution designs using Terraform across AWS Cloud environments
Design and implement GenAI, RAG, and Agentic AI solutions using AWS Bedrock and related services
Architect RAG pipelines, vector database integrations, and multi-agent orchestration systems
Analyze business requirements and ensure design traceability
Prepare testing strategies, implementation plans, transition plans, specifications, and documentation
Design, implement, and maintain GitLab CI/CD pipelines
Develop Python and Bash automation scripts for model deployment, data pipelines, and manual-process automation
Resolve complex AI infrastructure and application problems and recommend proactive reliability improvements
Support system health and performance reviews
Develop React user interfaces and internal monitoring and administrative tools
Build and maintain APIs and integration services
Design, code, test, debug, document, and maintain software enhancements
Participate in and indirectly lead AI infrastructure and cross-functional projects
Provide project updates and management reports
Collaborate in an Agile team to develop AI capabilities
Train technical staff on AI tools, Terraform, CI/CD pipelines, and related platforms
Participate in design reviews and architecture discussions
Mentor junior engineers
Perform change and problem management according to FRIT policies
Contribute to department standards, procedures, and best practices
Assist with internal audit and Information Security Manual compliance
Ensure implementations follow security, responsible AI, compliance, and cost-optimization practices

Requirements

What you’ll need

U.S. citizenship or lawful permanent resident status with at least three years of legal residency
Progressive experience building GenAI, RAG, and Agentic AI solutions, including prompt engineering, RAG pipeline design, and agent orchestration frameworks
Hands-on experience with AWS Bedrock and related AI/ML services
Strong programming skills in Python and Bash
Advanced proficiency in Terraform, including module development and state management
Progressive experience with AWS services including EC2, S3, Lambda, VPC, IAM, RDS, and Systems Manager
Strong proficiency in CI/CD and deployment automation using GitLab pipelines
Proficiency in React
Strong understanding of Git, branching strategies, and collaborative development workflows
Experience with SQL and NoSQL databases, data modeling, and performance optimization
3-5 years of relevant work experience in AI/ML engineering, cloud infrastructure, DevOps, or platform engineering
Minimum bachelor's degree in computer science, Information Technology, or Engineering
Certifications related to Information Technology or AI/ML strongly preferred
Strong understanding of networking fundamentals, security principles, system design, and scalability
Experience with Agile methodologies, sprint planning, and iterative development
Excellent oral and written communication skills
Ability to lead technical discussions and influence architecture decisions
Availability for possible on-call rotation and callback
Ability to work full-time onsite within a reasonable commuting distance of the employing Reserve Bank

Benefits

Comp & perks

Comprehensive healthcare options (Medical, Dental, and Vision)
401(k) match
Fully funded pension plan
Paid time off and holidays
Annual educational assistance
Professional development programs, training and conferences
Competitive compensation
Work-life balance
Mentorship opportunities
Occasional travel for training, conferences, or cross-site collaboration