As an AI Forward Deployed Engineer, you'll embed with hardware teams, build agentic workflows and skills on Nominal, and bring back the patterns that should become product.
Responsibilities
Embed with hardware engineering teams at build-partner programs, on site and alongside them.
Build custom agentic workflows and skills for each partner's programs that do real engineering work: turning requirements and test plans into checks, running analyses, and investigating issues.
Spot the patterns across customers and bring them back as product: new skills, agent capabilities, and eval tasks.
Win build partners by proving value: measured before-and-after results on real programs.
Be the technical voice of the customer inside the Hardware Intelligence team.
Design, build and roll out Playwright automation frameworks, test APIs and microservice-based systems, run BDD, diagnose flaky failures, use AI coding agents, extend automation coverage into mobile, coach colleagues, explain quality risk and technical trade-offs.
Responsibilities
Design, build and roll out Playwright (TypeScript/JavaScript) automation frameworks, and keep them stable as suites grow
Test APIs and microservice-based systems alongside the UI
Run BDD collaboratively with analysts, developers and the client
Diagnose flaky and intermittent failures, and find root causes instead of adding retries
Use AI coding agents to speed up test design, authoring and maintenance, and rigorously verify what they produce
Design and own Playwright automation frameworks, work with developers and clients, use AI agents for test design and maintenance, coach colleagues, and influence QA community practices.
Responsibilities
Design, build and roll out Playwright (TypeScript/JavaScript) automation frameworks
Test APIs and microservice-based systems alongside the UI
Run BDD collaboratively with analysts, developers and the client
Diagnose flaky and intermittent failures and find root causes
Use AI coding agents to speed up test design, authoring and maintenance
Lead infrastructure engineering for an early-stage B2B software company, owning the platform that runs an agentic integration product and growing into a leadership role.
Compensation
Base salary is $175,000 to $300,000 annually. Visa sponsorship is available.
Responsibilities
Build and operate a durable integration runtime with sandboxed execution and self-healing capabilities.
Develop infrastructure for coding agents that write, test, and deploy integration code in production.
Design observability across integrations and agents, including logs, metrics, and tracing.
Build and maintain a single-tenant, self-hostable deployment option.
Set engineering patterns for future infrastructure hires and contribute to hiring and team leadership.
Requirements
Bachelor's or higher degree in engineering, computer science, or a quantitative field from a strong technical university
Nice to have: self-hosted single-tenant product deployments
AMD is seeking a Principal Software Engineer, Agentic AI to rapidly build and prove new AI software opportunities, and to help our organization stay at the leading edge of agentic software development.
Locations (4)
Austin, Texas, United States
Bellevue, Washington, United States
Seattle, Washington, United States
Santa Clara, California, United States
Responsibilities
Rapidly build prototypes and proofs of concept using agentic development workflows.
Optimize prototypes on AMD platforms, going down the stack when needed.
Work directly with partner engineering teams on joint technical work.
Own features end-to-end for Snowflake Database Engineering products, from design and implementation through testing, deployment, and production operations.
Compensation
The estimated base salary range for this role is $160,000 - $230,000. Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
Responsibilities
Own features end-to-end for Snowflake Database Engineering products, from design and implementation through testing, deployment, and production operations.
Design and build reliable, scalable systems for complex database and data platform workloads, with a focus on performance, correctness, and operability.
Lead the adoption of modern AI-driven development practices, using coding agents, automated verification, and continuous benchmarking to build higher-quality software at speed.
Partner with product and infrastructure teams to translate customer and engineering problems into robust product capabilities and production-ready systems.
Work with a highly experienced team of engineers to build and evolve core Snowflake products.
Requirements
Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field. Master’s or higher degree preferred, but not required.
Lead the Forward Deployed Engineering function within Enterprise AI, proving AI ideas through PoCs, PoVs, and MVPs before handing them off for scale. This is a hands-on leadership role requiring technical depth in AI-augmented engineering.
Responsibilities
Lead the Forward Deployed Engineering function, owning strategy, structure, hiring, development, and standards.
Hire, mentor, and develop the FDE team, creating development paths from G8 through to G5.
Set the standards for AI-native engineering practice (agentic delivery-automation workflows, delivery bot meshes, prompt and pattern libraries).
Set the bar for AI, ML, and data science rigor across the function, including evaluation standards and model validation.
Own relationships with Director and Senior Director-level business unit sponsors.
Requirements
Bachelor's degree in computer science
Software Engineering
Nice to have: Prior leadership experience at an AI-native company (Anthropic, Palantir, OpenAI)
Nice to have: Master's degree in computer science or a related field
Nice to have: Experience in regulated industries (pharma, healthcare, financial services)
We are building an AI-centric engineering platform where brands operate as self-reliant, B2B-style customers. You will own product features end-to-end across the full stack — leveraging AI agents to multiply delivery throughput — while architecting robust, highly-available systems on a stable, brand-agnostic platform.
Locations (2)
Vaughan, Ontario, Canada
Concord, Ontario, Canada
Compensation
A competitive salary plus discretionary bonus
Responsibilities
Own delivery of product features end-to-end: design, build, verify against acceptance criteria, and ship to production.
Build and operate 3rd-party and B2B integrations on the platform, delivering brand- and customer-specific features on top of a shared core.
Use AI coding agents and automated verification to accelerate delivery, working within engineering quality gates and independent review.
Set technical patterns and unblock yourself and others across a fast-moving, multi-workstream environment.
Senior-most technical authority and executive-facing owner of overall solution architecture for the account.
Responsibilities
Own the end-to-end solution architecture for the account, ensuring alignment with business goals and enterprise architecture standards
Define and defend the target-state architecture and roadmap directly to client executive stakeholders and governance/Change Board forums
Drive technical design decisions across application architecture, APIs, integrations, cloud infrastructure, and non-functional requirements
Set coding standards, design patterns, and technology choices across workstreams once the stack is confirmed
Review and approve high-level designs (HLDs) before implementation begins; hold final sign-off authority on architecture decisions and technical design changes
Requirements
Nice to have: TOGAF Certification
Nice to have: Cloud/Platform Architect Certification
Nice to have: Pharmaceutical/Healthcare Distribution Experience
Forward Deployed Engineer, AINewNominal · London, United Kingdom
Senior QA Automation Engineer (Playwright)Valtech · Sofia
Founding Engineer, InfrastructureClera-AI · San Francisco, US
Principal Software Engineer, Agentic AIAdvanced Micro Devices, Inc · Austin, US+3 more
Software Engineer (AI-Native), Database EngineeringSnowflake · Menlo Park, US
Principal ArchitectBounteous · US