Sunnyvale, California, United States · Hybrid
$123k–$215k/yr
Why Join American Express Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of Americ…
Skills: Generative AI, Agentic systems, Intelligent automation, Software engineering, Distributed systems
San Francisco, California, United States · Hybrid
$131k–$285k/yr
DoorDash is building the world's most reliable on-demand, logistics engine for delivery! We're looking for talented engineers to help us develop a 24x7, global infrastructure system that powers DoorDash's three-sided mar…
Skills: Go, Python, LLM, Data platform, Kubernetes
Sunnyvale, California, United States · On-site
$182k–$242k/yr
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI…
Skills: Product management, Cloud storage, File system storage, Object storage, Strategic planning
Sunnyvale, California, United States · On-site
$185k–$203k/yr
At GFiber, we believe that great internet has the power to drive innovation, strengthen communities, enable the impossible, and do all the everyday things that make all of our world go round. And the job of creating bett…
Skills: Technical program management, Cloud based systems, Software project management, Stakeholder management, GCP
Sunnyvale, California, United States · On-site
$262k–$364k/yr
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 7 years of experience leading technical project strategy, ML design, and optimizing industry-sc…
Skills: Software Development, Machine Learning, Distributed Systems, GenAI, LLMs
Sunnyvale, California, United States · On-site
$207k–$300k/yr
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products, and 3 years of experience with …
Skills: Software development, Machine learning infrastructure, Kubernetes, C++, Go
Sunnyvale, California, United States · Hybrid
$312k–$351k/yr
About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing …
Skills: Machine Learning, Python, Vector Databases, FAISS, LanceDB
Sunnyvale, California, United States · On-site
$207k–$300k/yr
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience programming in C++. 5 years of experience testing, and launching software products. 5 years of experience building and d…
Skills: C++, Software design, Distributed systems, Infrastructure, Network design
Mountain View, California, United States · On-site
$176k–$256k/yr
Minimum qualifications: Bachelor's degree or equivalent practical experience. 11 years of experience in management consulting, product management and strategy, or analytics in a technology company. Experience working wit…
Skills: Product Strategy, Operations Management, Data Analysis, Cross-functional Collaboration, Project Management
Sunnyvale, California, United States · On-site
$150k–$217k/yr
Minimum qualifications: Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience. 6 years of experience with network routing protocols, design and troubleshooting, with netw…
Skills: Network routing, Network design, Troubleshooting, Carrier-class routers, Switches
Sunnyvale, California, United States · On-site
$174k–$252k/yr
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching…
Skills: Software engineering, Distributed systems, Infrastructure design, Rate limiting, Token management
Sunnyvale, California, United States · On-site
$147k–$210k/yr
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting. 2 years of experience …
Skills: Software Development, Distributed Systems, Linux System Administration, Infrastructure Operations, Kubernetes
Sunnyvale, California, United States · On-site
$147k–$210k/yr
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years…
Skills: Software development, Machine learning infrastructure, Model deployment, Model evaluation, Performance tuning
Sunnyvale, California, United States · On-site
$207k–$300k/yr
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products, and 3 years of experience with …
Skills: Software Engineering, Machine Learning, GenAI, LLMs, Distributed Systems
Sunnyvale, California, United States · On-site
$174k–$252k/yr
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in Go, C or Python. 5 years of experience with network architectures, protocols (e.g., TCP/IP,…
Skills: Go, C, Python, Kubernetes, Networking
Sunnyvale, California, United States · On-site
$147k–$210k/yr
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting. 2 years of experience …
Skills: Software development, Distributed systems, Storage systems, Go, C++
Sunnyvale, California, United States · On-site
$163k–$236k/yr
Minimum qualifications: Bachelor's degree in Mechanical Engineering, Material Engineering, Electrical Engineering, Technology, Science, a related field, or equivalent practical experience. 8 years of experience in chip p…
Skills: Mechanical Engineering, Material Engineering, Electrical Engineering, Chip package substrate design, Cadence APD
Sunnyvale, California, United States · On-site
$118k–$169k/yr
Minimum qualifications: Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences), or equivalent practical experience. 3 years of experience in equity researc…
Skills: Equity research, Investment banking, Management consulting, Product strategy, Corporate finance
Sunnyvale, California, United States · On-site
$163k–$236k/yr
Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 5 years of experience in program management. Experience working with security engineering to deploy security control sol…
Skills: Program management, Security engineering, SQL, Data analysis, Cross-functional leadership
Sunnyvale, California, United States · On-site
$147k–$210k/yr
Minimum qualifications: PhD in Computer Science, a related field, or equivalent practical experience. Experience developing autonomous agents, multi-agent workflows, or agentic frameworks (e.g., AutoGen, CrewAI, LangGrap…
Skills: Autonomous agents, Multi-agent workflows, Large Language Models, Multimodal foundation models, Python
Sunnyvale, California, United States • Hybrid
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
The role involves partnering with business and product teams to identify high-value opportunities and transform them into scalable, secure, and responsible AI solutions. You will lead the end-to-end lifecycle of these solutions, from discovery and proof of value to production scaling and long-term ownership.
Candidates must have at least 5 years of experience in software engineering or technical consulting with a proven ability to deliver digital products. A bachelor's degree in computer science or a related field is required, along with strong communication skills and the ability to influence stakeholders without direct authority.
Why Join American Express
Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
The Technology organization enables and accelerates the company’s growth strategies, delivering global capabilities and services in support of Amex’s customers and colleagues, while maintaining 24/7 servicing and availability to ensure uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.
The Enterprise AI Platform organization partners with business and technology teams to shape the Enterprise AI strategy, bring emerging technologies to the forefront, and build scalable, reusable AI platforms. This team plays a pivotal role in enabling American Express to operate as an AI-powered enterprise by equipping teams with the skills, platforms, and seamless deployment capabilities needed to accelerate responsible AI innovation, enhance decision-making, and drive customer impact with speed and scale.
Join a team shaping the future of AI at American Express. You will work directly with business and product leaders to turn high-value opportunities into trusted, secure, and responsible AI solutions, while helping successful ideas become reusable capabilities across the enterprise.
FDE partners across American Express to transform high-value business opportunities into trusted, secure, and scalable AI solutions delivering measurable outcomes, accelerating adoption, and turning successful innovations into reusable enterprise capabilities.
Role Summary
As a Forward Deployed AI Engineer, you will partner closely with business units, product teams, and engineering organizations to identify and reframe high-value opportunities, translate business challenges into clear value propositions, and build working solutions using Generative AI, agentic systems, and intelligent automation.
You will take opportunities from discovery and demonstration through proof of value, production scaling, adoption, and transition to long-term ownership. Demonstrations are a means of validating grounded value propositions, not the end goal. You will be accountable for advancing credible opportunities into real adoption and durable ways of working, with each stage tied to measurable outcomes and balanced with enterprise requirements for security, reliability, and responsible AI.
This is a hands-on engineering role with a significant stakeholder engagement component. You will influence without direct authority, communicate across levels of seniority and technical familiarity, and work alongside engineers to build and deploy reliable software.
You will challenge assumptions about how work is performed, analyze processes as systems, and identify the technical, operational, and organizational levers that can improve them. You will define a longer-term direction while sequencing practical near-term solutions that build toward it.
Candidates may come from mobile, web, backend, distributed-systems, or workflow-platform backgrounds. What matters most is the ability to understand a system end to end, form a point of view, engage deeply with users, and turn direction into working software.
Opportunity discovery and transformation
- Build trusted relationships and develop a deep understanding of business priorities, user needs, operational workflows, and sources of friction.
- Challenge existing assumptions, map processes as systems, and identify the technical, operational, and organizational changes most likely to improve them.
- Lead discovery sessions that translate business needs into clear use cases, value propositions, measurable success criteria, and solution direction.
- Assess opportunities based on business value, technical feasibility, user impact, risk, and readiness for adoption.
- Define a longer-term vision and identify the smallest useful intervention that can validate the opportunity while preserving a path to broader transformation.
Solution design and delivery
- Design, build, and deploy Generative AI, agentic AI, and intelligent automation solutions using approved enterprise platform capabilities.
- Develop working demonstrations and proofs of value that test assumptions and measure business impact.
- Take solutions through prototyping, production scaling, adoption, and transition to long-term ownership.
- Build agents and AI-enabled workflows that interact with enterprise APIs, knowledge sources, data platforms, applications, code, and business processes.
- Incorporate appropriate human input, approval, escalation, and fallback mechanisms.
- Work directly alongside engineering teams to produce software and apply the architecture, testing, deployment, and operational practices required for production use.
- Use experimentation selectively to reduce uncertainty while balancing speed with security, reliability, maintainability, and governance.
AI-enabled engineering practices
- Use coding agents and AI-assisted engineering techniques to accelerate discovery, implementation, testing, documentation, and iteration.
- Apply specification-driven development, context management, iterative planning, and structured knowledge repositories to preserve context and improve personal productivity.
- Evaluate agent-generated code and technical outputs for correctness, security, maintainability, and architectural alignment.
- Identify where AI-enabled development practices can improve engineering throughput without compromising operational standards.
Platform contribution and scale
- Generalize patterns and components developed through individual engagements for broader use.
- Partner with platform and product teams to turn successful prototypes into reusable features, accelerators, reference architectures, and paved-road implementation patterns.
- Capture lessons from deployments and use them to influence the enterprise AI platform and product roadmap.
- Help teams adopt AI-enabled workflows and transition solutions into sustainable operating models.
Evaluation, governance, and responsible AI
- Develop evaluation approaches that measure solution quality, task completion, business outcomes, user experience, latency, cost, and reliability.
- Identify and address failure modes through testing, monitoring, safeguards, and iterative improvement.
- Ensure solutions meet American Express requirements for security, privacy, risk management, responsible AI, and regulatory compliance.
- Establish appropriate controls for model access, enterprise data, tool use, human oversight, and production operations.
Stakeholder leadership
- Communicate technical concepts, tradeoffs, risks, and recommendations to audiences with different levels of technical familiarity and seniority.
- Influence decisions and drive alignment across business, product, engineering, risk, and platform teams without relying on direct reporting authority.
- Maintain strong stakeholder relationships throughout discovery, delivery, adoption, and transition, and mentor partner teams on AI solution delivery.
- 5 or more years of experience delivering software, technical solutions, or digital products in an engineering, architecture, or technical consulting capacity.
- Demonstrated ability to take an ambiguous business or user problem through discovery, implementation, and measurable validation.
- Experience using coding agents in a structured engineering workflow, including specification-driven development, context management, iterative implementation, and reusable knowledge repositories.
- Software engineering fluency and the ability to contribute directly to applications, integrations, services, or technical prototypes.
- Experience in at least one relevant domain, such as mobile, web, backend services, APIs, distributed systems, platform engineering, workflow orchestration, or cloud-native development.
- Ability to reason about systems end to end, identify constraints and leverage points, and connect technical decisions to business outcomes.
- Strong communication and stakeholder-partnership skills, including the ability to explain technical concepts, challenge existing approaches constructively, and influence without direct authority.
- Ability to define a longer-term direction and sequence incremental solutions that build toward it.
- Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience.
Preferred Qualifications
- Experience building or deploying solutions powered by language models, agentic systems, or AI-enabled process flows.
- Experience with retrieval-augmented generation, vector databases, tool calling, model context protocols, knowledge retrieval, or workflow technologies such as Temporal, LangGraph, LangChain, or LlamaIndex.
- Experience designing human-in-the-loop controls and operational safeguards, with knowledge of AI evaluation, observability, and responsible AI.
- Experience supporting technology adoption or operating-model transformation, particularly in financial services or another regulated industry.
Success Measures
Success in this role will be measured by:
- AI opportunities that progress from discovery to proof of value and, where appropriate, production adoption.
- Measurable business outcomes tied to clearly defined KPIs.
- Ability to identify and reframe valuable opportunities while connecting near-term delivery to longer-term transformation.
- Solutions that improve the broader workflow and are adopted into sustainable operating models.
- Strong stakeholder relationships, technical quality, and effective management of security, risk, and reliability.
- Reusable capabilities and implementation patterns incorporated into the enterprise AI platform.
Working Model and Travel
Occasional travel may be required for workshops or key delivery milestones, but frequent travel is not expected. Roles may be based near selected American Express offices to support close partnerships with regional business and product teams.
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together. Learn more about us at: https://www.americanexpress.com/careers https://www.americanexpress.com/ https://www.facebook.com/AmericanExpressUS https://www.instagram.com/americanexpress/ https://twitter.com/americanexpress https://www.youtube.com/user/AmericanExpress See our community guidelines at: https://www.americanexpress.com/en-us/company/community-guidelines/ If you have a customer service issue or question, please visit www.americanexpress.com/contactus
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Based on 893 listings with disclosed salaries, most data & analytics jobs in Sunnyvale, CA pay between $138k–$286k per year. Individual offers vary with seniority, company size, and specialization.
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