Senior Applied AI Engineer

🔥 3 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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phData

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $2.5M Seed Round on 2018-03

Consulting • Healthcare • Manufacturing

phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.

📋 Description

• Design, build, and operationalize production-ready AI and machine learning systems delivering measurable business impact for enterprise customers • Translate architecture designs and business requirements into clean, maintainable, well-tested code • Own end-to-end implementation of AI applications and workflows across predictive ML, MLOps, generative AI, LLM applications, agentic workflows, and intelligent automation • Implement robust data and model pipelines, deployment and inference patterns, observability, guardrails, and evaluation suites • Partner with architects, engineers, business stakeholders, and client representatives to refine designs, clarify requirements, explain technical tradeoffs, and integrate solutions with enterprise data, applications, and workflows • Troubleshoot complex issues and document systems and decisions • Create reusable accelerators, reference implementations, and delivery playbooks for the Applied AI practice • Help mature engineering standards and reusable assets for scalable Applied AI delivery

🎯 Requirements

• 5+ years of experience in AI/ML engineering, software engineering, data engineering, or a related technical discipline, including at least 3 years designing, building, deploying, or operating AI and machine learning solutions in production • Strong programming experience in Python and solid working knowledge of SQL • Proven experience building and productionizing AI/ML systems, including generative AI, LLM-powered applications, predictive ML, or MLOps solutions • Hands-on experience developing production software, APIs, services, and data or model pipelines supporting training, inference, evaluation, monitoring, and retraining • Understanding of production AI/ML concerns including evaluation, observability, security, governance, scalability, performance, cost optimization, and operational support • Experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, and contemporary AI frameworks and providers such as Anthropic or OpenAI • Ability to collaborate and communicate effectively with architects, engineers, data scientists, platform teams, business stakeholders, and client representatives in a consulting or client-facing delivery environment • Bachelor's degree in relevant field, or equivalent practical experience (education listed as desired) • Experience building agentic AI systems, enterprise RAG systems, semantic retrieval solutions, AI applications, intelligent workflow automation, cloud-native AI/ML services, LLM orchestration frameworks, model registries, feature stores, lineage, monitoring, drift detection, AI evaluations, prompt management, AI gateways, DevOps practices, reusable accelerators, modular architectures, libraries, industry solutions, open-source projects, or technical communities (preferred)

🏖️ Benefits

• Remote-First Work Environment • 401k plan with company match • Dental and Vision insurance • Home Office Equipment Stipend • Annual stipend for Learning and Development • Competitive comp • Excellent benefits • 4 weeks PTO plan • 10 Holidays • Challenging projects • Mentorship • Structured development pathways • Supportive, high-performing global team • Transparency, autonomy, and continuous improvement