Forward Deployed Engineer, Content, Brand TEchnology and Applied AI

Amazon

Austin, TX

JOB DETAILS
SALARY
$193,300–$261,500 Per Year
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Asset Management, Blueprints, Compensation Management, Compensation and Benefits, Computer Science, Content Delivery/Distribution, Content Development, Content Management, Content Management Systems (CMS), Continuous Improvement, Cross-Functional, Customer Relations, Data Modeling, Data Science, Design Patterns Programming Methodologies, Digital Asset Management, Distribution Management, Electrical Wiring, Embedded Systems, Localization, Marketing, Mentoring, Online Publications, Process Improvement, Product Marketing, Programming Languages, Prototyping, Quality Monitoring, Requirements Management, Scaffolding, Software Development, Software Engineering, System Architecture, Systems Administration/Management, Team Lead/Manager, Technical Leadership
LOCATION
Austin, TX
POSTED
1 day ago

Forward Deployed Engineer, Content, Brand Technology and Applied AIJob ID: 10459090 | Amazon.com Services LLCWhat if you could shape how AI agents and marketers work side by side to create, manage, and deliver content on a global scale? AWS Marketing is shifting from tool-assisted to AI-native, and it won't happen from a product silo. It happens when someone embeds directly with the teams doing the work, sees how content actually moves through the system, and rebuilds it with AI from the inside out.We are looking for a Senior Forward Deployed Engineer to embed directly with Product Managers and marketing teams across AWS. You'll turn their highest-friction workflows into AI-first systems where AI agents can reinvent how work gets done. Your role: figure out what the future-state workflow needs to look like, design how agents and humans collaborate within it, wire the systems together, and drive the effort from prototype to production. You are the connective tissue between what's possible and what actually ships.The work spans the full content lifecycle – web publishing, creative production, localization, brand operations. One week you may be wiring an agent into a creative workflow, the next redesigning how global content flows across AWS properties through AI-enabled translations, the next prototyping a system that turns a brief into a publishable asset with a human in the loop at exactly the right moments.This is not a traditional role. You put working software in people's hands to validate ideas in hours, not weeks. You are comfortable with MCPs, orchestration frameworks, and tool integrations, and you have the product judgment to know what's worth scaling versus what's just technically interesting. In a world where everyone can build with AI, you bring great taste: the ability to distinguish great from good through deep customer empathy, structured problem framing, and relentless focus on adoption as the finish line.60% building, 40% leading. You'll have executive sponsorship and engineering partners to scale what works. Your prototypes won't die in a backlog; they'll become platform investments that serve hundreds of marketers and touch millions of customer-facing assets.Key job responsibilitiesBuild to learn. Take identified opportunities and turn them into working prototypes using model APIs, agent frameworks, and lightweight code. Compress the distance from idea to conviction.Design the human‑agent experience. Define where humans stay in the loop, at which steps, and with what controls. Shape how marketers discover and interact with agents, and how agents collaborate with each other through protocols, context passing, and trust signals.Turn validated prototypes into production architectures. Partner with engineering to move from ‘this works' to ‘this ships'. Defining the technical path, integration points, and data contracts that make a prototype durable.Own agent quality in production. Define evaluation frameworks, set quality thresholds, monitor drift after model or data changes, and drive continuous improvement based on real usage.Build the scaffolding that accelerates the team. Create reusable patterns, agent templates, integration blueprints, and reference architectures that make PMs and engineers faster at shipping AI‑native workflows.Evangelize what's possible. Run workshops and provocations that help stakeholders experience the future through working artifacts, not decks. Turn skeptics into co‑owners by putting working software in their hands.About the teamThe Content, Brand Technology and Applied AI team builds the foundational technology that powers content creation, management, and distribution for AWS Marketing. We are at the forefront of integrating AI and agentic orchestration into marketing workflows, working across content generation, asset management, content health, localization, and channel distribution. Our systems serve hundreds of marketers and touch millions of customer-facing content assets across aws.amazon.com.We move fast, we build with taste, and we measure success not by what ships but by what gets adopted and loved. We believe the best way to shape the future is to build it, validate it, and put it in people's hands.This is a unique opportunity to shape the AI-powered future of content technology at AWS Marketing. You will work at the intersection of AI, content management, and marketing technology, with significant ownership to define the design technology practice from the ground up and drive outcomes felt across the organization.Basic qualifications6+ years of non‑internship professional software development experience6+ years of programming with at least one software programming language6+ years of leading design or architecture of new and existing systems (design patterns, reliability and scaling)Experience as a mentor, tech lead or leading an engineering teamStrong technical fluency: comfort working directly with engineers, understanding system architectures, and integrating across APIs, MCPs, and data pipelinesDemonstrated ability to build functional prototypes or near‑production artifacts using AI/ML tools, no-code/low-code platforms, or direct coding, not just writing requirements for others to buildPreferred qualificationsBachelor's degree in computer science or equivalentExperience in Forward Deployed, Solutions PM, or Field PM roles embedded directly with customer teams rather than within a single product siloExperience building or managing AI agent systems, orchestration frameworks, or multi‑agent architecturesBackground in creative workflows, content management systems, digital asset management, localization platforms, or compliance/governance systemsExperience designing and facilitating workshops, design sprints, or structured ideation sessions with senior stakeholdersExperience leading cross‑functional teams (engineering, design, data science, marketing) to deliver products with measurable business impactAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Benefits and compensationThe 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 CA, San Francisco – $193,300.00 – $261,500.00 USD annuallyUSA, NY, New York – $184,900.00 – $250,200.00 USD annuallyUSA, TX, Austin – $168,100.00 – $227,400.00 USD annuallyUSA, WA, Seattle – $168,100.00 – $227,400.00 USD annually#J-18808-Ljbffr

About the Company

A

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles