{"id":3553531,"url":"https://alion.io/job/fisher-investments-senior-mlops-engineer","title":"Senior MLOps Engineer","company":{"id":11585,"name":"Fisher Investments","domain":"fisherinvestments.com","url":"https://alion.io/company/fisher-investments","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Camas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":185000,"currency":"USD","period":"year","gross":null,"usd_annual":185000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"CUDA","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"RAPIDS","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-10-30T23:45:05Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-03T14:02:44Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Overview\nIt is an exciting time to join Fisher Investments as we expand our Machine Learning capabilities to support our international growth. We are looking for a Senior MLOps Engineer to build the infrastructure, pipelines, and operational practices that bring machine learning and generative AI solutions from experimentation into reliable, secure, and scalable production services.\nThe Opportunity:\nAs a Senior MLOps Engineer, you will build, deploy, and operate machine learning and generative AI solutions in enterprise environments. Working closely with AI leads, ML engineers, and platform teams, you will turn experimental workflows into production-ready services and establish the operational practices needed to support them. You will report to the AI Team Leader, Technology Innovation.\nThe Day-to-Day:\nDesign, build, and operate end-to-end data and ML pipelines on Azure and Databricks, including ingestion, validation, feature engineering, model training, fine-tuning, evaluation, and deployment\nBuild and maintain CI/CD workflows for application code, model artifacts, prompt templates, retrieval and context configurations, evaluation datasets, and infrastructure\nOperationalize retrieval-augmented generation (RAG) and context engineering workflows, including document ingestion, chunking, embedding generation, indexing, retrieval, context selection and assembly, and evaluation of retrieval and response quality\nCollaborate with ML engineers, data engineers, and the AI Lead to translate experimental training, fine-tuning, evaluation, and inference workflows into reproducible, production-ready systems\nDevelop and maintain production-grade APIs and microservices using Python and FastAPI to expose model inference and integrate AI capabilities into enterprise applications\nDeploy, operate, and scale model-serving endpoints and containerized inference services using Azure-managed services, Docker, and Kubernetes to workload requirements\nProvision and manage cloud and platform resources through infrastructure as code, ensuring consistent, repeatable, and auditable environment configurations\nImplement automated testing and release quality gates for application code, data quality, model performance, retrieval quality, AI safety, and deployment readiness\nEstablish model and artifact versioning, experiment tracking, and deployment traceability to support reproducibility and troubleshooting\nMonitor and improve model quality, data and retrieval pipeline reliability, inference latency, throughput, service availability, and infrastructure cost efficiency\nPartner with infrastructure, security, and governance teams to implement appropriate access controls, auditability, and operational safeguards\nYour Qualifications:\n10+ years of experience building data-driven software solutions, including 5+ years of hands-on machine learning engineering experience\n8+ years of Python development experience, including building and maintaining production services, APIs, or data pipelines\nDemonstrated experience deploying and operating machine learning or generative AI solutions in production\nExperience with Databricks, including Delta Lake, Auto Loader, Workflows, Feature Engineering, and deployment automation using Databricks Asset Bundles\nHands-on experience building CI/CD pipelines and implementing automated testing and deployment workflows for data and ML systems\nHands-on experience with cloud-native AI infrastructure and related technologies, including Azure Foundry, Azure Kubernetes Service, Docker, and GPU-backed workloads\nHands-on experience integrating and operating graph databases to support knowledge graphs, relationship-based retrieval, or generative AI applications\nBachelor's degree in computer science, Artificial Intelligence, or a related field, or equivalent professional experience\nExperience deploying models for low-latency, high-throughput inference using frameworks such as vLLM and other GPU-based model-serving toolsExperience with distributed training, GPU optimization, and GPU computing technologies such as CUDA and RAPIDS\nCompensation:\n$130,000 - $185,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience\nEligible for a discretionary bonus based on firm and individual performance\nWhy Fisher Investments:\nWe work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like:\n100% paid medical, dental and vision premiums for you and your qualifying dependents\nA 50% 401(k) match, up to the IRS maximum\n20 days of PTO, plus 10 paid holidays\nFamily Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care\nThis is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change.\nFISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER","description_format":"text","description_chars":5278,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management & Financial Advisors","Asset Management & Funds"],"lifecycle":[{"event":"open","at":"2026-10-30T23:45:05Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":14,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":185000,"is_top_pay":false},"html_url":"https://alion.io/job/fisher-investments-senior-mlops-engineer","json_url":"https://alion.io/job/fisher-investments-senior-mlops-engineer.json","meta":{"generated_at":"2026-11-03T17:13:12Z","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":23847,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"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":11585},"rest":"https://alion.io/mcp/rest/get_company?id=11585"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffisher-investments-senior-mlops-engineer"},{"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%2Ffisher-investments-senior-mlops-engineer"},{"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%2Ffisher-investments-senior-mlops-engineer"},{"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/fisher-investments-senior-mlops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffisher-investments-senior-mlops-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3553531}},{"tool":"search_jobs","arguments":{"company":"fisherinvestments.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3553531},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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