Jobs in the United States

25+ jobs

Save this search

Added 5 mins ago
.Net Developer (Remote Opportunity)
VetsEZ
Tampa, FL
…quality assurance personnel, and federal stakeholders. The developer will participate in software development lifecycle activities, application troubleshooting, production support, and…
Added 5 mins ago
Staff Software Development Engineer in Test
ComPsych Corporation
UNAVAILABLE
Bonus: experience verifying LLM-backed or other non-deterministic products; synthetic-data strategy and deterministic isolation for sensitive data; failure injection or recovery testing in…
Added 10 mins ago
Forward Deployed Engineer - AI, Dedicated Staffing
NWN Carousel
UNAVAILABLE · Exeter
Establish and maintain developer experience standards for AI coding tools (Claude Code or equivalent) and Azure AI Foundry, including repository conventions, model routing, prompt and…
Added 13 mins ago
Senior Software Developer
BAE Systems
McLean, VA
We are hiring a Senior Software Developer to act as a technical pillar across our multi-disciplinary portfolios. This position is a senior role focused on AI Harness Development. You will…
Added 15 mins ago
H
Sr Technical Program Manager, Data
Hyperscience
Remote, United States
- $122,000 to $206,500 USD / year
…end-to-end processes, and transforms complex documents into LLM and RAG-ready data to power new enterprise GenAI experiences. This enables organizations to transform manual, siloed…
Added 17 mins ago
Manager, Operations Analytics, Burger King
Burger King Company, LLC
United States
Build analytics tools with AI, such as LLM-based workflows, AI-assisted coding for SQL and Python, and AI features in BI platforms, to automate recurring reporting and give stakeholders…
Added 24 mins ago
Software Engineer II
INSPYR Solutions
Menlo Park, CA
Design and develop methods, tools, and infrastructure to improve LLM capabilities and scalability.
Added 33 mins ago
AWS Python- GenAI Developer
System One
Lafayette, LA
We are seeking a AWS Python- GenAI Developer to develop and support cloud native applications, automation capabilities, and enterprise integrations supporting a large scale Workday SaaS…
Added 34 mins ago
AI Security Specialist
PNC
Lakewood, CO · Birmingham, AL · Pittsburgh, PA · Strongsville, OH · Phoenix, AZ
-Analyze LLM prompts, responses, and associated telemetry to identify malicious or anomalous activity.
Added 37 mins ago
C
Strategy & Solutions Lead
Causaly
New York, NY
- $180,000 to $240,000 USD / year
Added 39 mins ago
Quantitative Engineer
Bank of America, National Association
United States
…optimization, and the development of AI-enabled solutions using modern LLM platforms, agent frameworks, RAG, and MCP…
Added 45 mins ago
Data Governance & Reporting Analyst
Syngenta Group
Remote, United States
Added 46 mins ago
N
AI Data Analyst
Navaide
San Diego, CA
- $120,000 to $160,000 USD / year
This is not a traditional dashboard developer role. The successful candidate is a self-starter who blends hands-on engineering with strategic advisory work, engages directly with…
Added 53 mins ago
Data Science Analyst Senior/Intermediate
University of Michigan
Ann Arbor, MI
…language processing (NLP) applications, large language model (LLM) solutions, and automated data processing…
Added 54 mins ago
K
AI Vibe Coding Engineer
Kforce
Remote, United States
- $25 USD / hour
Exposure to building AI/LLM-based applications, chatbots, workflows, or proof-of-concepts through academic, internship, personal, or open-source projects
Added 55 mins ago
Associate Principal, Artificial Intelligence Engineering
The Options Clearing Corporation
United States
…and implementation of sophisticated RAG systems and complex LLM agent workflows, providing technical leadership and mentoring to team members. Collaborate cross functionally with product…
Added 1 hour ago
Agentic AI Engineer - Kennesaw, GA
United Contractor Services
Kennesaw, GA
3–5 years of professional software engineering experience, with at least 1 year shipping production AI/LLM systems (not prototypes, not demos).
Added 1 hour ago
Software Engineer, Enterprise Build
Robinhood
Menlo Park, CA
Demonstrated AI-native development: daily fluency with agentic coding tools, experience building LLM-powered applications or agentic workflows, and the judgment to review, harden, and…
Added 1 hour ago
D
AI Enablement Engineer
DRW
Chicago, IL
- $175,000 to $225,000 USD / year
Technical fluency in prompt engineering and a deep, practical understanding of current LLM capabilities, behaviors, and limitations.
Added 1 hour ago
Delivery Manager
EXL Talent Acquisition Team
NH
Generative AI Integration: Hands-on experience with LLM (Large Language Models), Agentic AI, and integration with APIs from platforms like OpenAI, Hugging Face, and AWS AI services.
Added 1 hour ago
GCP Data Engineer (Vertex AI)
Capgemini
New York, NY, NY
Google Cloud Associate Cloud Engineer or Professional Cloud Developer
Added 1 hour ago
C
Senior Data Scientist Engineer
Capgemini
Atlanta, GA, GA
- $103,330 to $128,656 USD / year
Advanced knowledge in Machine Learning models and Large Language Models (LLM), using langchain or a similar tool.
Added 1 hour ago
IG
Pharma AI Engineer
Insight Global
Tarrytown, NY
- From $74 USD / hour
…applications utilizing machine learning and large language model (LLM) technologies. The engineer will build solutions involving retrieval-augmented generation (RAG), prompt engineering,…
Added 1 hour ago
Snowflake Sr. Data/AI Engineer
CGI Technologies and Solutions, Inc.
Minneapolis, MN
Practical experience with Snowflake Cortex AI, including Cortex AISQL functions, Cortex Search, or Cortex Analyst, or a demonstrated ability to rapidly build LLM and RAG solutions.
Added 1 hour ago
Product Associate - Merchant Service Data Platform
JPMC page
Palo Alto, CA
Exposure to AI/LLM-based tools for data analysis, documentation, or workflow automation

Amazon

Solutions Architect III, Internal Audit Data Analytics

Seattle, WA, United States

Apply About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Sep 18, 2026

Original job description

Description

Amazon's Internal Audit organization covers all of AWS, Stores & Delivery Operations, and Subsidiaries. The Data Analytics team is responsible for the analytical tooling that makes that coverage possible - and right now, that tooling is spread across several sub-teams, each operating their own dashboards, risk models, and data pipelines. These tools work well independently, but they haven't been integrated into a single testing pipeline, which means audit teams still manually piece together outputs from different systems before they can run a test.

You will own the integration strategy that brings these pieces together. The work starts with understanding what each team has already built and why they built it that way. Dashboards don't feed into risk models. Data pipelines don't inform test generation. Science outputs sit in notebooks instead of running in production. You'll evaluate which AWS services and internal builds fit each integration point, write the technical design for how they connect, and then work across teams to implement it. You don't hand off implementation - you make the technical calls and you write the code.

That also means navigating disagreement. Several teams built their tools for different purposes under different architectural constraints, and they won't always agree on data models, pipeline patterns, or what to prioritize. Before you propose changes, you need to understand the real constraints behind each team's decisions. Your credibility comes from what you build, not your title.

Most Solutions Architect roles at Amazon are customer-facing and advisory. This one is internal-facing and hands-on. Your customers are Internal Audit's audit teams - the people who carry testing to the business and assure risk coverage across the enterprise. You sit within the Data Analytics team, report to the Head of Internal Audit Data Analytics, and work as an integration partner across the sub-teams rather than belonging to any one of them. The goal isn't just a faster pipeline. It's a platform audit teams can actually use without building workarounds for every engagement.

The team is also investing in agentic technology to move Internal Audit from reactive to proactive testing. The target state is agentic pipelines that surface risk and generate test procedures before teams even open an engagement. Applying LLM-driven orchestration to audit testing at this scale hasn't been done before on this team, so you'll be defining the patterns rather than following an existing playbook - and building expertise that few organizations have yet.

This is a highly visible technical individual contributor role that spans Internal Audit's full domain. If you're comfortable operating where the mission is clear but the technical path isn't, we'd like to hear from you.

Key job responsibilities

Own the integration architecture across BI/Analytics, Applied Science, and Data Engineering sub-teams, designing the pipeline that connects analytical tooling, risk models, and data infrastructure into a unified testing workflow.
Write SQL, build ETL/ELT processes, create data models, and implement agentic workflows using LLM orchestration and tool-use chains with human-in-the-loop validation to move audit testing from reactive to proactive.
Investigate architectural constraints and competing priorities across sub-teams, drive alignment on data models and pipeline patterns, and resolve technical disagreements through hands-on analysis rather than positional authority.
Author 6-pagers, technical design documents, and reference architectures; present architecture decisions and trade-offs to Director and VP-level audiences within Internal Audit leadership.
Define reusable patterns for agentic audit pipelines that surface risk, generate test procedures, and speed up engagement execution across the enterprise.

A day in the life

You might start by reviewing a data pipeline prototype with the Data Engineering sub-team, working through schema decisions that affect downstream risk models. By midday, you could be presenting an integration architecture proposal to Internal Audit leadership, walking through trade-offs and fielding technical questions. In the afternoon, you may pair with the Applied Science team to wire an LLM-driven orchestration step into the testing workflow, then close the day drafting a technical design document that captures decisions made and open items for the next sprint.

About the team

The Data Analytics team sits within Amazon's Internal Audit organization and provides the analytical tooling that supports audit coverage across AWS, Stores and Delivery Operations, and Subsidiaries. Three sub-teams (BI/Analytics, Applied Science, and Data Engineering) each bring specialized capabilities, and this role exists to integrate them into a single testing pipeline. We report to the Head of Internal Audit Data Analytics and are investing in agentic technology to make audit testing proactive rather than reactive. If you want to define new patterns at the intersection of data engineering, applied science, and LLM-driven automation, this is the team to do it.

Basic Qualifications

8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
5+ years of design, implementation, or consulting in applications and infrastructures experience
10+ years of IT development or implementation/consulting in the software or Internet industries experience

Preferred Qualifications

Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering)
Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
Experience working with end user or developer communities
Experience managing relationships with SAP customers and partners
Experience in SAP clean core design concepts, including design and build using non-SAP technologies in domains such as Generative / Agentic AI, and data & analytics

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually

Apply About employer

More about this job

Skills

Auditing
Data analysis
AWS
Data engineering
Workflow
SQL
Create data models
Data models
Leadership
Test procedures
Google Analytics
Software development
Cloud computing
SAP
Recruitment
Mental health

Report this job