Jobs in the United States

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Added just now
Software Engineer, Machine Learning (Technical Leadership) - Ads Products
Meta
Menlo Park, CA
Software Engineer, Machine Learning (Technical Leadership) - Ads Products Responsibilities:
Added just now
Software Engineer, Machine Learning - Ads Products
Meta
Menlo Park, CA
…ours is the org where advertiser value is won or lost.As a Software Engineer, Machine Learning in Ads Products, you will lead complex engineering projects that turn ML capabilities into…
Added just now
Software Engineer, Product - Ads Products
Meta
Menlo Park, CA
…ours is the org where advertiser value is won or lost.As a Software Engineer, Product in Ads Products, you will lead complex engineering projects that help advertisers plan, create, and…
Added 1 min ago
Security Engineer Lead, Security Foundations
Meta
Sacramento, CA · Menlo Park, CA
…security risk across the company. We're looking for a Security Engineer Lead to scope, design, and champion security solutions company-wide across the domains we support.This is a breadth…
Added 1 min ago
Research Scientist Intern, AI Alignment
Meta
San Francisco, CA · Menlo Park, CA
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Added 1 min ago
Software Development Engineer, PXT Central Science
Amazon
San Francisco, CA · Sunnyvale, CA
As a Software Development Engineer on PXTCS, you'll work side by side with economists, data scientists, data engineers, and applied scientists turning leading-edge ML and Generative AI…
Added 13 mins ago
RU
PreSales Engineer Director - Data and AI Applications (Location Flexible)
RSM US LLP
Denver, CO
- $147,000 to $260,700 USD / year
RSM US LLP is looking for a dynamic Pre-Sales Engineer (PSE) Director that will have a primary focus on facilitating the growth of our consulting practice.
Added 43 mins ago
TT
Software Engineer
True Talent Solutions Partners
New York, NY
- $192,500 to $258,000 USD / year
Join an early-stage AI software engineering team building products that help in-person sales teams improve performance. You will ship user-facing features across the stack and help…
Added 43 mins ago
TT
Senior Full-Stack Engineer
True Talent Solutions Partners
Remote, United States
- $200,000 to $275,000 USD / year
…backend-focused role combines architecture, hands-on development, and product collaboration to deliver reliable customer-facing…
Added 53 mins ago
C
Mid-Level AI Engineer
Clera
San Francisco, CA
- $150,000 to $180,000 USD / year
Join the core product team at a pre-seed B2B SaaS company building agentic systems to automate complex workflows across enterprise and regulated industries. You will build and operate…
Added 1 hour ago
V
Staff Software Engineer Backend
Veritone
NEW YORK, NY
- $185,000 to $200,000 USD / year
Added 1 hour ago
S
Principal or Staff Product Security Engineer
Skylight
Remote, United States
- $200,000 to $250,000 USD / year
6+ years in application or product security, with a software engineering background. You can ship production code, not just review it.
Added 1 hour ago
Senior MLOps Engineer
C the Signs
Remote, United States
We’re hiring a Senior MLOps Engineer with deep machine learning engineering experience to build and operate the production platform powering ML/LLM-driven healthcare workflows. You’ll…
Added 2 hours ago
ES
Lead GIS Solution Engineer - Defense
Environmental Systems Research Institute Inc.
Louisville, CO
- $120,016 to $201,344 USD / year
Esri is seeking a lead GIS Solution Engineer to serve as a technical leader and trusted advisor to Defense and Intelligence organizations. You will bring deep ArcGIS expertise, mission…
Added 2 hours ago
Senior Frontend Software Engineer
Raydar
New York, NY
…shaped by direct feedback from internal users and a growing product…
Added 2 hours ago
Software Engineer 3
Kiewit
Lenexa, KS
TAG is hiring Software Engineer to help design and deliver AI-powered enterprise applications across Kiewit’s district portfolio. This role is ideal for a developer who has outgrown pure…
Added 2 hours ago
Applied AI Engineer (Python/AI)
Brightplan
Remote, United States
We are looking for an Applied AI Engineer to help build and expand AI-powered product features across our platform, with an initial focus on enhancing our AI Coach experience.
Added 2 hours ago
Senior Applied AI Engineer (Enterprise AI / Python)
Brightplan
Remote, United States
We are looking for a Senior Applied AI Engineer to help design, build, and scale the systems that power AI across the BrightPlan platform. This role will play an important part in shaping…
Added 2 hours ago
Staff Software Engineer, Agentic Workflows
Intuit
New York, NY
Come join the Intuit Enterprise Builders team as a Staff Software Engineer. As Intuit expands its footprint in the Mid-Market and Enterprise segment, you will be part of the group enabling…
Added 3 hours ago
IT Cloud Engineer, Engineering Platform Automation
Mayo Clinic
Rochester, MN
This role serves as the technical product owner and lead engineer for the Engineering Front Door platform, partnering with the Cloud Center of Excellence (CCoE), Cloud Platform Engineering,…
Added 3 hours ago
BN
Applied AI/ML Engineer
Boundless Networks, Inc.
Remote, United States
- $175,000 to $250,000 USD / year
End-to-End AI Product Delivery: Own AI features and products from prototype through production - model selection, serving, evaluation, and iteration - shipping working software rather than…
Added 3 hours ago
Solutions Architect (US only)
Bolder Apps
Remote, United States
Bolder Apps is a product development studio that partners with US-based startups and established companies to build and scale innovative digital products. We specialize in AI-powered…
Added 3 hours ago
Technical Systems Engineer (Hybrid)
Cisco Systems, Inc.
San Jose, CA · RTP, NC
As a Technical Systems Engineer with Commerce Product Management & Engineering (part of Cisco IT), You will be at the forefront of sustaining, monitoring, and troubleshooting critical…
Added 3 hours ago
Staff Software Engineer
Cisco Systems, Inc.
Remote, United States
Own features end-to-end across the complete software development lifecycle including AI, spanning requirements gathering, technical design, implementation, testing, automation, deployment,…
Added 3 hours ago
Senior Software Engineer, AI/ML Network Engineering
Cisco Systems, Inc.
Milpitas, CA
Join the Infrastructure Engineering team as a Software Engineer and help redefine how networking problems are solved. You will develop innovative software for next-generation networking…

Snowflake

Staff Forward Deployed Engineer, Applied AI

Menlo Park, CA, United States

$200,000 to $287,500 USD / year

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Job details

Pay: $200,000 to $287,500 USD / year
Experience: 7+ years of professional software engineering experience.
Posting language: English
Posted: Oct 28, 2026

Original job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

As a Staff Forward Deployed Engineer, Applied AI on our Cortex AI team, you will be a hands-on technical leader and trusted partner to our most strategic customers. You will own the end-to-end delivery of enterprise AI programs, leading a team of 2–4 engineers while staying deeply technical yourself. You will set the technical direction for your customer engagements, mentor your team, and serve as the senior technical voice at the intersection of product, engineering, and customer success.

Note: This is a customer facing role & require frequent travelling within USA mostly

IN THIS ROLE AT SNOWFLAKE, YOU WILL:

Lead Customer Programs: Own the full lifecycle of complex, multi-engineer AI engagements – from scoping and architecture through deployment, monitoring, and handoff. Be accountable for delivery quality and customer outcomes for the projects you lead.

Own AI Quality: Define what "good" means for each engagement. Translate ambiguous customer goals into measurable quality metrics, evaluation frameworks, and golden datasets – then run systematic eval loops to hill-climb on agent quality, catch regressions before customers do, and continuously raise the bar on accuracy, faithfulness, and safety. Set the standard for how the team measures and improves AI systems in production.

Grow and Mentor Engineers: Provide day-to-day technical leadership and mentorship to a team of 2–6 Applied AI Engineers. Review designs and code, unblock teammates, and actively develop their skills and careers.

Deliver with Velocity: Remain a hands-on contributor – designing, iterating, and shipping high-quality ML pipelines and agentic AI solutions alongside your team. Translate ambiguous business objectives into robust, scalable, and performant solutions.

Productionize AI at Scale: Own the full implementation lifecycle for AI solutions, from prototype through deployment, monitoring, and optimization in secure, large-scale production environments. Build the safety guardrails, observability, and human-review workflows that keep AI applications reliable and trustworthy – and close the loop from production traces and user feedback back into your evals so quality compounds over time.

Be a Strategic Technical Advisor: Serve as a senior technical advisor to customer data science and engineering leadership. Set the standard for how Snowflake AI is deployed and articulate complex technical concepts to both technical and executive stakeholders.

Collaborate to Innovate: Work cross-functionally with Snowflake's Product and Engineering teams, bringing real-world patterns and feedback from the field to directly shape the future of Snowflake's AI platform.

Drive Compounding Outcomes: Identify recurring deployment patterns and turn them into reusable assets – reference architectures, evaluation harnesses, and product feedback that scale Snowflake's impact across customers.

Have the opportunity to travel: Spend at least 25% of your time onsite, working closely with Snowflake's most strategic customers.

WE'RE LOOKING FOR CANDIDATES WHO HAVE:

Demonstrated experience leading technical projects or teams, including setting technical direction, reviewing others' work, and driving delivery to completion.
Proven experience building and productionizing applications using LLMs, especially with technologies like RAG and agentic workflows.
Hands-on experience defining quality metrics and evaluation frameworks for LLM or agent systems, and using evals to systematically improve quality over time.
Excellent problem-solving and communication skills, with an ability to articulate complex technical concepts to both technical and executive stakeholders.
Comfort with ambiguity and the ability to independently structure and execute on complex, open-ended problems.
7+ years of professional software engineering experience.
Experience in a customer-facing technical role.
Willingness to travel.

PREFERRED QUALIFICATIONS

Experience building eval sets from production traces and synthetic data, and running structured experimentation (A/B tests, ablations, offline evals) to compare prompts, models, or agent architectures.
Familiarity with eval and observability tooling (e.g., Braintrust, LangSmith, Arize, Weave, Promptfoo) or experience building custom eval harnesses.
Experience with failure-mode analysis on agent or RAG systems – categorizing errors (hallucination, retrieval miss, planning failure, tool misuse) and driving each down with targeted evals.
Hands-on experience with the MLOps lifecycle, including model deployment, monitoring, and evaluation in a cloud environment (AWS, Azure, or GCP).
Familiarity with core data science libraries and tools (e.g., pandas, numpy, Snowpark).
Startup experience or experience in a high-growth, fast-paced environment.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

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