{"id":51794,"url":"https://alion.io/job/snowflake-senior-forward-deployed-engineer-applied-ai","title":"Staff Applied AI Engineer (FDE)","company":{"id":96,"name":"Snowflake","domain":"snowflake.com","url":"https://alion.io/company/snowflake","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":86,"open_postings":50,"ghost_share":0,"stale_share":0.56,"repost_share":0,"time_to_fill_p50_days":54,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Menlo Park, United States","Bellevue, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":270000,"currency":"USD","period":"year","gross":null,"usd_annual":270000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Cortex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"A/B Testing","optional":true},{"name":"Arize Phoenix","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Braintrust","optional":true},{"name":"GCP","optional":true},{"name":"Hallucination","optional":true},{"name":"LangSmith","optional":true},{"name":"NumPy","optional":true},{"name":"Prometheus","optional":true},{"name":"Promptfoo","optional":true},{"name":"Synthetic Data","optional":true}],"status":"live","first_seen_at":"2026-08-11T18:25:36Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-17T20:36:47Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":67},"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.\nAs 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.\nNote: This is a customer facing role & require frequent travelling within USA mostly\nIN THIS ROLE AT SNOWFLAKE, YOU WILL:\nLead 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.\nOwn 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.\nGrow 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.\nDeliver 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.\nProductionize 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.\nBe 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.\nCollaborate 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.\nDrive 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.\nHave the opportunity to travel: Spend at least 25% of your time onsite, working closely with Snowflake's most strategic customers.\nWE'RE LOOKING FOR CANDIDATES WHO HAVE:\nDemonstrated experience leading technical projects or teams, including setting technical direction, reviewing others' work, and driving delivery to completion.\n\nProven experience building and productionizing applications using LLMs, especially with technologies like RAG and agentic workflows.\n\nHands-on experience defining quality metrics and evaluation frameworks for LLM or agent systems, and using evals to systematically improve quality over time.\n\nExcellent problem-solving and communication skills, with an ability to articulate complex technical concepts to both technical and executive stakeholders.\n\nComfort with ambiguity and the ability to independently structure and execute on complex, open-ended problems.\n\n7+ years of professional software engineering experience.\n\nExperience in a customer-facing technical role.\n\nWillingness to travel.\n\nPreferred Qualifications\nExperience 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.\n\nFamiliarity with eval and observability tooling (e.g., Braintrust, LangSmith, Arize, Weave, Promptfoo) or experience building custom eval harnesses.\n\nExperience 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.\n\nHands-on experience with the MLOps lifecycle, including model deployment, monitoring, and evaluation in a cloud environment (AWS, Azure, or GCP).\n\nFamiliarity with core data science libraries and tools (e.g., pandas, numpy, Snowpark).\n\nStartup experience or experience in a high-growth, fast-paced environment.\n\nEvery 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.\nSnowflake 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.\nHow do you want to make your impact?\nFor jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com","description_format":"text","description_chars":6263,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Warehouses & Lakehouses","Databases & DBMS","Data Marketplaces, Sharing & Clean Rooms"],"lifecycle":[{"event":"open","at":"2026-08-11T18:25:36Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 529 · green card filings: 106","filings_12m":529,"filings_prev_12m":372,"green_card_filings_12m":106,"median_offered_wage_usd":160862,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":331}],"liveness":{"score":21,"band":"cold","label":"Long shot","p_open":1,"p_active":0.479,"p_room":0.44,"age_days":66,"expected_fill_days":54,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":270000,"is_top_pay":false},"html_url":"https://alion.io/job/snowflake-senior-forward-deployed-engineer-applied-ai","json_url":"https://alion.io/job/snowflake-senior-forward-deployed-engineer-applied-ai.json","meta":{"generated_at":"2026-10-17T21:46:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6534,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":96},"rest":"https://alion.io/mcp/rest/get_company?id=96"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsnowflake-senior-forward-deployed-engineer-applied-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsnowflake-senior-forward-deployed-engineer-applied-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsnowflake-senior-forward-deployed-engineer-applied-ai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/snowflake-senior-forward-deployed-engineer-applied-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsnowflake-senior-forward-deployed-engineer-applied-ai"}]}