Jobs in the United States

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Added 9 days ago
O
Principal Core Infrastructure Engineer, AI Infrastructure
Oracle
Nashville, TN
- $114,600 to $234,600 USD / year
…architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services. These are essential for running distributed AI/ML/HPC workloads across thousands of…
Added 9 days ago
CC
Senior AI Software Engineer
Continental Casualty Company
Chicago, IL
- $72,000 to $141,000 USD / year
Implement test automation (unit, integration, end-to-end)
Added 9 days ago
AI and Data Consultant Team Lead
Coretek Services
Remote, United States
Data engineering: Build and improve data pipelines and platforms using SQL, Python, Microsoft Fabric, Azure data services, and Databricks. Deliver tested datasets for analytics and AI use…
Added 9 days ago
Transformational Automation Strategist (Mid - Senior Level)
Jack Henry & Associates
Allen, TX
Experience developing and supporting automation for business-critical Unix, Linux, or AIX environments using Perl, Shell, Python, PowerShell, or another relevant programming or scripting…
Added 9 days ago
Sr Operational Ex Analyst
Honeywell Technologies
El Paso, TX
Test and optimize agent performance and reliability.
Added 9 days ago
Software Engineer II - AI/ML
JPMorgan Chase
Plano, TX
…operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards…
Added 9 days ago
Software Engineer III - Agentic Data Quality Platform
JPMorgan Chase
Plano, TX
…speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding…
Added 9 days ago
Sr Engineer, IT Software
American Airlines
Fort Worth, TX
Test Automation: Selenium, TestNG, Postman, SonarQube, Cypress, JUnit/NUnit/PyTest, Cucumber, Playwright, Wiremock/Mockito/Moq
Added 9 days ago
Validation Engineer
Texas Instruments
Dallas, TX
Programming skills for test automation (Python, C/C++, MATLAB, or LabVIEW)
Added 9 days ago
Red Hat Enterprise Linux (RHEL) Endpoint Administrator
Leidos
Houston, TX
Develop and maintain automation scripts using RHEL-supported languages, including Bash, Python, and YAML, to streamline application installations, system configurations, and software…
Added 9 days ago
Software Quality Engineer, Secure Firewall
Cisco
Austin, TX
Experience using Python or a comparable scripting language for test automation and tooling.
Added 9 days ago
Global Response Operations, Protect Analyst
Meta
Austin, TX
Proficiency in Python, with experience using it for automation, scripting, or building lightweight tools
Added 9 days ago
Senior NDT Engineer - Advanced Inspection Technologies
NOV
Houston, TX
…alongside electrical, mechanical, and software engineers to design, test, and improve advanced nondestructive testing (NDT) systems. This position offers the opportunity to solve complex…
Added 9 days ago
Embedded Signal Processing and ML Algorithms Engineer
Apple
San Diego, CA
…including GenAI-assisted development, data analysis, and workflow automation. You will help define best practices for GenAI tool adoption within the group and collaborate cross-functionally…
Added 9 days ago
Associate Design Evaluation Engineer
Analog Devices
MA
Exposure to programming, scripting, or automation tools such as Python, LabVIEW, C/C++, or similar technologies is a plus.
Added 9 days ago
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Software Test Engineer
Actalent
Huntsville, AL
- $49.95 to $93.47 USD / hour
Hands-on experience implementing software test automation, including designing and executing automated test cases.
Added 9 days ago
Linux Systems Engineer (Top Secret/SCI with agreement to obtain CI Poly Clearance Required)
North Point Technology
Chantilly, VA
…availability. You will develop scripts and leverage playbook-based automation to accomplish operational tasks, manage COTS and GOTS software products across multiple environments, and…
Added 9 days ago
Forward Deployed Engineer
United States
Take on new marketing and eCommerce needs as they come up, from workflow automation to analytics and reporting, and help prioritize them alongside ongoing work
Added 9 days ago
Software Integration & Test Eng. II(HIL Auto)
3MD Inc.
Redmond, WA
Familiarity with Python and LabVIEW for test automation and hardware interfacing
Added 9 days ago
Shift Leader - Launch Ops (B Shift)
Blue Origin Personnel, LLC
Space Coast, FL
You won’t just ensure procedures are followed; you’ll drive smarter, faster, more resilient ways to test. You’ll lead teams that develop and refine automated test systems, data acquisition…
Added 9 days ago
Principal Silicon Test Engineer - TeraWave
Blue Origin Personnel, LLC
San Diego, CA · Cupertino, CA
Proficiency in Python, C, Java or similar languages for test automation and production data analysis.
Added 9 days ago
Business Analyst – Agentic AI & Automation, Chat Customer Experience
CoSourcing Partners
Stamford, CT
…analysis expertise with practical technical capabilities in SQL, Python, APIs, AI-assisted coding, and workflow…
Added 9 days ago
Development Engineer, System Integration AD
Mercedes-Benz
San Jose, CA
Implementation of automation for triaging and analysis to improve day to day processes within the team.
Added 9 days ago
IT Senior Network Engineer
PRIORITY ONDEMAND
SCOTTSDALE, AZ
…security, cloud environments, applications, email security, automation, infrastructure, and emerging…
Added 9 days ago
Forward Deployed Engineer
Newell Brands
Hoboken
Take on new marketing and eCommerce needs as they come up, from workflow automation to analytics and reporting, and help prioritize them alongside ongoing work

Forward Deployed Engineer

United States

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Job details

Posting language: English

Original job description

Job ID: [[id]]

Alternate Locations: [[mfield1]]

Newell Brands is a leading consumer products company with a portfolio of iconic brands like Graco®, Coleman®, Oster®, Rubbermaid®, Sharpie® and Yankee Candle® - and 24,000 talented teammates around the world. Our culture is built on values in action: Integrity, Teamwork, Passion for Winning, Ownership, and Leadership. We work together to win, grow, and make a real impact - supported by a high-performing, inclusive, and collaborative environment where you can be your best, every day.

We are building AI-enabled capabilities that help our marketing, eCommerce and content teams work faster and smarter, starting with content optimization and extending to other needs as they come up. The Forward Deployed Engineer designs and builds the solutions. You will work directly with the teams who own content, product data, creative, syndication and other marketing and eCommerce workflows, learn how their work gets done and build with them. This role is focused on building, and you will report to the Head of Digital Product & Innovation, eCommerce, who leads product strategy and stakeholder alignment. You will work closely with your leader on the product vision, using what you learn in the field to inform what we build next and why. What you build in the field informs what gets productized, and what gets productized is then deployed back into the business. This is a hands-on, high-visibility role.

Responsibilities

Discover and Design

Work with New Item Setup, Marketing, Brand, eCommerce, Content, Media, Commercial and IT teams to map how work gets done and find where data issues, handoffs and rework slow teams down
Take on new marketing and eCommerce needs as they come up, from workflow automation to analytics and reporting, and help prioritize them alongside ongoing work
Find the underlying problem behind each request, and turn business requirements into scoped technical solutions with clear specifications and success metrics
Contribute to architecture choices for each AI solution, including models, orchestration and data design, in partnership with enterprise IT, and recommend a different approach when the request is not the best fit

Build and Deploy

Build and own technical components from design through deployment, testing and monitoring in production
Rapidly prototype and deploy solutions such as AI agents, workflow automations, integrations, data pipelines and lightweight applications, then take them from prototype to production to meet enterprise standards
Build and deploy AI agents and workflows that take action in business systems, including prompts, tool calls, retrieval and context layers
Develop classification and enrichment models, such as those that map, validate and generate product attributes and categories against our taxonomy and retailer requirements
Train, tune and deploy machine learning models that extract and classify information from text, images and documents, such as product attributes against our taxonomy, at scale
Choose the right approach for each use case, from rules and classical models to fine-tuned and LLM-based extraction, and design feedback loops that retrain models using human corrections
Connect copy and generative AI content capabilities into connected workflows, using a blend of AI within custom Azure solutions and enterprise tools such as Adobe and Salsify
Build data pipelines and integrations across Azure, enterprise data platforms and the commercialization stack: product information management (PIM), syndication and digital asset platforms (Stibo, Salsify, Adobe)
Work with enterprise IT to meet requirements for security, access control and data governance, and to integrate with legacy systems
Use Claude Code and similar AI-assisted development tools daily to build and test faster

Operate and Improve

Test AI output with defined test sets, quality metrics and human review
Measure extraction and classification performance by attribute using precision, recall and F1 on labeled datasets, and track confidence thresholds, error patterns and model drift over time
Monitor deployed solutions, find the root cause when issues occur and fix them
Build dashboards that report solution health and business results: cycle time, data quality, cost avoidance and content readiness
Help measure and report impact in terms stakeholders and finance care about, such as time saved, cost avoided, revenue influenced and quality improved
Document solutions and train business teams to use and extend them independently, gathering feedback and iterating until the solution is part of how the team works

Inform the Product

Contribute to the product vision and roadmap alongside your leader, combining what you learn in the field with their strategy and priorities
Turn repeated field needs into reusable capabilities, and help decide what to build once, what to configure and what not to build
Bring data, working demos and clear technical recommendations to stakeholder discussions to help reach decisions
Keep stakeholders informed by communicating progress, tradeoffs and risks clearly to both working teams and senior leaders
Stay current on new AI tools and methods, and recommend when to adopt, build or retire a capability

Qualifications

Bachelor's degree in computer science, engineering, data science or a related field, or equivalent practical experience
Five or more years in software engineering, data engineering, solutions engineering or a similar role such as forward-deployed engineering or consulting, including technical delivery for customers or business teams
Strong Python and SQL skills
Software engineering fundamentals, including version control, code review and automated testing
Experience with Azure and DevOps practices, including CI/CD, infrastructure as code and cloud deployment
Experience in data science, including feature engineering, model selection, validation and statistical evaluation, and moving models from experiment to production
Hands-on machine learning for information extraction and classification, such as named-entity recognition, multi-label and hierarchical classification, embeddings, and fine-tuning of transformer or large language models
Experience building with large language models, agent frameworks and orchestration, prompt and context design, evaluation and monitoring
Experience with classification, taxonomy mapping or entity-resolution models
Working knowledge of current AI tools and methods, with examples of what you have built or tested

Newell Brands (NASDAQ: NWL) is a leading global consumer goods company with a strong portfolio of well-known brands, including Rubbermaid, Sharpie, Graco, Coleman, Rubbermaid Commercial Products, Yankee Candle, Paper Mate, FoodSaver, Dymo, EXPO, Elmer’s, Oster, NUK, Spontex and Campingaz. We are focused on delighting consumers by lighting up everyday moments. Newell Brands and its subsidiaries are Equal Opportunity Employers and comply with applicable employment laws. EOE/M/F/Vet/Disabled are encouraged to apply.

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