AI Solutions Engineer - Experienced

Federal Reserve Bank of New York; Richmond (VA); On-site; USD 95,000 - 154,000; Full time

Benefits offered by this job

Healthcare

401(k) match

Paid time off

Educational assistance

Professional development

Job summary

Federal Reserve Bank of Richmond seeks an Experienced AI Solutions Engineer to develop enterprise AI/ML systems using GenAI, RAG, and agentic frameworks, with Terraform, AWS Bedrock, and automation across AWS environments.

The role emphasizes design, deployment, and governance of scalable AI infrastructure, CI/CD via GitLab, React front ends, and collaboration within an Agile team to support critical financial systems.

Qualifications

• Progressive experience building GenAI, RAG, and agent orchestration solutions.
• Hands-on AWS Bedrock and related AI/ML services experience.
• Strong Python and Bash automation skills.

Responsibilities

• AI Solution Architecture & Engineering for GenAI, RAG, and agentic AI on AWS.
• Develop CI/CD pipelines for automated testing and deployment of AI solutions.
• Build UI tools with React and APIs to support AI workflows.
• Lead collaboration in an Agile environment and mentor junior engineers.
• Ensure security, compliance, and cost optimization in AI infrastructure.

Skills

GenAI & RAG

Agentic AI

Python

Bash

Terraform

AWS Bedrock

CI/CD

React

Git

SQL/NoSQL

Education

Bachelor's degree in CS/IT/Engineering

Tools

GitLab

Terraform

AWS Bedrock

Job description

Company Federal Reserve Bank of Richmond When you join the Federal Reserve—the nation's central bank—you’ll play a key role, collaborating with leading tech professionals to strengthen and protect our economic, financial and payments systems. We invest in contemporary and emerging technology each year to support the Federal Reserve and our economy, and we’re building a dynamic and diverse team for our future.

AI Solutions Engineer - Experienced In this role you will be responsible for developing and maintaining enterprise-scale AI/ML solutions using Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks, combined with Infrastructure as Code and automation practices. You will participate in design and implement scalable, secure, and efficient AI-powered systems supporting critical business functions across the Federal Reserve System. This position requires a moderate level of experience and proficiency in AI/ML technologies, cloud infrastructure, and DevOps practices.

Infrastructure Platforms & Operations

You will be joining the Infrastructure, Platforms & Operations portfolio. This business line supports the strategic direction and product delivery for System IT infrastructure and operations, as well as the alignment of technology to business strategies. The team serves as the business partner for secure and reliable IT products, services, and operations. This position does not sponsor employment visas. Candidates must be U.S. citizens or lawful permanent residents with at least three years of legal residency.

Why Join Us

• Lead significant AI infrastructure initiatives at a critical national institution supporting the nation's financial system
• Work with cutting-edge Generative AI, RAG, and Agentic AI technologies alongside modern automation frameworks
• Opportunity to architect and implement enterprise-scale AI solutions with real business impact
• Mentorship opportunities with junior engineers while continuing to grow your own technical expertise
• Exposure to diverse technology stacks and complex problem domains across multiple business lines
• Collaborative environment that values innovation, continuous improvement, and public service
• Comprehensive benefits package, competitive compensation, and work-life balance
• Professional development support including training, certifications, and conference attendance

What You Will Do

• AI Solution Architecture & Engineering
  • Develop conceptual, logical, and physical designs for AI/ML solutions using Terraform that support the infrastructure requirements of varying levels of technical and business application projects across AWS Cloud environments
  • Design and implement complex GenAI, RAG, and Agentic AI solutions leveraging AWS Bedrock and related AI/ML services, along with supporting compute, storage, networking, and security infrastructure
  • Architect RAG pipelines, vector database integrations, and multi-agent orchestration systems for production use cases
  • Complete analysis of business requirements as they relate to AI solution design, and ensure traceability of the design to business requirements
  • Assess testing requirements and prepare testing strategies, as well as implementation and transition plans for AI infrastructure changes
  • Prepare detailed specifications and documentation from which AI infrastructure will be provisioned and maintained
• CI/CD & Automation
  • Design, implement, and maintain sophisticated CI/CD pipelines for automated testing, deployment, and infrastructure provisioning of AI solutions using GitLab
  • Develop and maintain complex automation scripts using Python or Bash to streamline model deployment, data pipelines, and manual processes to improve operational efficiency
  • Utilize available tools for automation of manual processes, contributing to increased team productivity
  • Follow and ensure adherence to technical standards for AI solution design and automation techniques
• Problem Resolution & System Reliability
  • Perform resolution of complex AI infrastructure and application problems affecting system operations; initiate problem avoidance actions
  • Analyze and revise existing system logic, AI pipeline patterns, and documentation as necessary
  • Recommend solutions to minimize and/or prevent system interruption based on trend analysis and proactive system checks
  • Support system health and performance reviews to help ensure reliability of deployed AI solutions
• Application Development & Integration
  • Develop user interfaces and internal tools using React for AI front end, monitoring solutions, and administrative applications
  • Build and maintain APIs and integration services to support AI solution automation and orchestration
  • Design, code, test, debug, document, and maintain moderately complex software enhancements to support AI infrastructure and pipelines
• Project Leadership & Collaboration
  • May indirectly lead moderately complex AI infrastructure projects and participate on technical/complex cross-functional projects
  • Provide project updates and prepare management reports as required, tailored for both technical and business audiences
  • Work and collaborate as part of an Agile team to develop and implement AI capabilities that enable business processes and decision-making
  • Train technical staff on use of AI tools, Terraform, CI/CD pipelines, and related platforms in accordance with required standards and procedures
  • Participate in design reviews, architecture discussions, and provide technical mentorship to junior engineers
• Governance & Compliance
  • Perform change and problem management using standard tools, following FRIT change management policies and procedures for AI infrastructure propagation to other platforms and/or environments
  • Contribute to development and revision of department standards, procedures, and best practices
  • Assist with monitoring compliance with internal audit requirements and Information Security Manual guidelines
  • Ensure AI solution implementations adhere to security best practices, responsible AI principles, compliance requirements, and cost optimization strategies

Knowledge And Skills: Required

• 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 for automation, scripting, AI/ML tooling, and API development
• Advanced proficiency in Cloud infrastructure provisioning tools, specifically Terraform, including module development and state management
• Progressive experience using core AWS services to build and support cloud solutions leveraging architecture best practices (EC2, S3, Lambda, VPC, IAM, RDS, Systems Manager)
• Strong proficiency in CI/CD and deployment automation using GitLab pipelines
• Proficiency in React for frontend development of internal tools and administrative interfaces
• Strong understanding of version control systems (Git), branching strategies, and collaborative development workflows
• Experience with SQL and NoSQL databases, data modeling, and performance optimization
• Nice to Have: Experience with vector databases, embedding models, and semantic search implementations
• Nice to Have: Experience integrating advanced agentic frameworks (e.g., LangChain, LangGraph, or similar) into production systems
• Nice to Have: Expertise in containerization technologies (Docker, ECS, EKS)
• Nice to Have: Understanding of FinOps practices and cloud cost optimization
• Nice to Have: Familiarity with security scanning tools and DevSecOps practices
• Nice to Have: Experience with disaster recovery planning and implementation
• Nice to Have: General familiarity with observability and monitoring practices (e.g., logging, metrics, tracing, alerting) and related tools such as CloudWatch, Grafana, or similar platforms

Qualifications

• 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, Engineering
• Certifications related to Information Technology or AI/ML strongly preferred:
• AWS Certified Solutions Architect - Associate or Professional
• AWS Certified Machine Learning or AI Practitioner
• HashiCorp Certified: Terraform Associate or higher
• AWS Certified DevOps Engineer - Professional

Technical Competencies

• Progressive knowledge of AI/ML system architecture, cloud computing concepts, microservices, and distributed systems
• Strong understanding of networking fundamentals, security principles, system design, and scalability considerations for AI workloads
• Advanced problem-solving skills with ability to debug complex technical issues across AI pipelines and multiple layers of the stack
• Ability to interpret and apply technical standards for programming and infrastructure design techniques
• Experience with Agile methodologies, sprint planning, and iterative development
• General awareness of performance measures, metrics, and system health indicators (nice to have)

Professional Competencies

• Strong interpersonal, negotiation, creativity, and attention to detail skills
• Excellent oral and written communication skills tailored for the intended audience, including executives, business stakeholders, and technical teams
• Demonstrated ability to lead technical discussions and influence architecture decisions
• Proven track record of delivering AI/infrastructure projects on time and within scope
• Strong mentorship and knowledge-sharing abilities
• Understanding and application of risk management discipline in decision-making, particularly regarding responsible AI use
• Works under direction with infrequent checks; makes independent decisions based on established methods and policies

Additional Information

• Hours: May require extended work hours for deployments, maintenance windows, or incident response
• Availability: May be subject to on-call rotation and callback as needed for production support
• Travel: Occasional travel including overnight stays may be necessary for training, conferences, or cross-site collaboration

The full salary range for the Engineer, Experienced job profile: $94,600- $118,200- $153,700

The candidate’s new job title and associated pay range will be determined by the employing District, and they will be subject to the employing District’s people policies and practices. As a Federal Reserve System National Business Line, it is standard practice to post System IT positions in multiple Districts to provide transparency and equitable opportunities.

Internal candidate(s) selected for this position will remain employed by their current employing District and serve as an employee of System IT* *Current remote employees will not be guaranteed to keep their remote status with their employing bank. The selected candidate will reside within a reasonable commuting distance, as defined by the employing Reserve Bank, and will work full-time onsite.

Eligible Locations for Hire: Boston, MA- New York, NY- Philadelphia, PA- Cleveland, OH- Richmond, VA- Atlanta, GA- Chicago, IL- St. Louis, MO- Minneapolis, MN- Kansas City, MO- Dallas, TX- San Francisco, CA OR The following Reserve Bank locations are preferred due to the concentration of System IT team members in these locations: Atlanta, Boston, Chicago, Kansas City, Minneapolis, New York, Richmond, and San Francisco. (example for limited posting locations)

Screening: This position has additional screening requirements due to the information accessed while performing the job. These additional screenings would be initiated at the time of offer acceptance and could take up to a couple of months to be completed. You can begin work before the screening is completed; however, continued employment is contingent on acceptable screening results. The areas screened may include education/employment verification, criminal history, credit history, and reference checks.

Our total rewards program offers benefits that are the best fit for you at every stage of your career:

• Comprehensive healthcare options (Medical, Dental, and Vision)
• 401(k) match, and a fully funded pension plan
• Paid time off and holidays
• Annual educational assistance
• Professional development programs, training and conferences
• And more…

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Full Time / Part Time Full time Regular / Temporary Regular Job Exempt (Yes / No) Yes Job Category Information Technology Family Group Work Shift First (United States of America) The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Privacy Notice OUR BANK has one of the most recognizable brands around the world. The Federal Reserve is the central bank of the United States—one of the world's most influential, trusted and prestigious financial organizations. The Federal Reserve is charged with the important mission of promoting a strong economy and a stable financial system and fulfills this responsibility by formulating national monetary policy, supervising and regulating banks and bank holding companies, and providing financial services for banks and the U.S. government. OUR PEOPLE are diverse in background and ideas, which allows for ongoing creativity and innovation. Ultimately, they are the ones who push our high-performance, exchange-driven culture forward. Why Our People Choose Us: Our reputation precedes us There will always be room for personal growth Our people are first You’ll find the right balance Your responsibilities will be meaningful We hope that you will be our future colleague.