AI Engineer – Enterprise

HR POD - Hiring Talent Globally

AI Engineer designing and deploying enterprise AI solutions and machine learning systems for enterprise customers. Leading technical discovery, model selection, and implementation in fast-paced environments.

Posted 7/8/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformKubernetesPython

About the role

Key responsibilities & impact

Lead technical discovery sessions with enterprise customers to understand business objectives, deployment requirements, and success criteria.
Scope and execute proof-of-concepts, pilot programs, and production deployment initiatives.
Conduct load testing and evaluations to validate model architectures and deployment configurations.
Design and implement end-to-end AI solutions within complex enterprise environments.
Build production-grade AI and machine learning systems that meet enterprise performance, security, and compliance requirements.
Conduct model evaluations, benchmarking, and performance testing.
Advise customers on model selection strategies and deployment architectures.
Support fine-tuning methodologies, including Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Reinforcement Fine-Tuning (RFT).
Develop evaluation frameworks to measure model quality and business impact.
Design scalable inference architectures that support enterprise workloads.
Work with GPU infrastructure, containerized applications, Kubernetes, and cloud platforms.
Collaborate with customer engineering teams to optimize system reliability, latency, scalability, and performance.
Address infrastructure, security, and compliance challenges to ensure successful production deployments.
Present technical recommendations to engineering teams and executive leadership.
Build trusted relationships with customer stakeholders, identify champions, address objections, and drive successful deployments.
Identify recurring customer pain points and provide actionable feedback to internal product and engineering teams.
Influence product roadmap decisions through customer insights and field experience.

Requirements

What you’ll need

4–8 years of experience in AI Engineering, Applied AI, Machine Learning Engineering, Infrastructure Engineering, Field Engineering, Solutions Architecture, or a similar technical role.
3+ years of experience in customer-facing AI/ML or infrastructure roles, with a proven track record of leading technical workstreams for enterprise customers.
Strong Python development experience.
Proven experience deploying production AI or machine learning systems in enterprise environments.
Hands-on experience with Large Language Models (LLMs), open-model inference frameworks, and modern model-serving stacks.
Experience supporting model training, evaluation, and fine-tuning workflows, including SFT, DPO, and RFT.
Strong understanding of cloud platforms, including AWS, Azure, or GCP, with hands-on experience in Kubernetes and containerized environments.
Experience working with GPUs, distributed systems, performance-critical infrastructure, and AI infrastructure products and platforms.
Knowledge of Retrieval-Augmented Generation (RAG) architectures.
Strong communication skills, with the ability to engage both technical and executive audiences.
Ability to navigate ambiguity, solve complex technical challenges, and maintain a customer-centric mindset with strong business acumen.
Demonstrated executive presence, with the ability to engage deeply with engineers while clearly communicating technical trade-offs to senior leadership.
Experience working in customer-facing engineering, field engineering, or solutions architecture roles.
Experience deploying enterprise AI solutions and taking AI solutions from proof-of-concept to production.
Experience influencing product strategy through customer engagement.
Experience working in a startup or high-growth technology company, with the ability to thrive in fast-paced environments where speed, sound judgment, and ownership are essential.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account HR POD - Hiring Talent Globally Website LinkedIn All Job Openings 11 - 50 employees Founded 2023 👥 HR Tech 🎯 Recruiter 🤝 B2B HR Tech
Recruitment
B2B HR POD is a leading premium global recruitment agency dedicated to elevating human resource management services. With a focus on helping companies strategize and build robust HR frameworks, HR POD specializes in recruitment, training, and performance management. They pride themselves on serving a diverse client base, particularly in the tech industry, and adopt a data-driven approach to optimize HR practices that align with organizational goals. Their commitment to integrity, customer satisfaction, and excellence positions them as a reliable partner in enhancing talent acquisition and retention strategies for businesses worldwide. AI Engineer – Enterprise Job not on LinkedIn 🔥 0 minutes ago 🏄 California – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer AWS Azure Cloud Distributed Systems Google Cloud Platform Kubernetes Python Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Lead technical discovery sessions with enterprise customers to understand business objectives, deployment requirements, and success criteria.
Scope and execute proof-of-concepts, pilot programs, and production deployment initiatives.
Conduct load testing and evaluations to validate model architectures and deployment configurations.
Design and implement end-to-end AI solutions within complex enterprise environments.
Build production-grade AI and machine learning systems that meet enterprise performance, security, and compliance requirements.
Conduct model evaluations, benchmarking, and performance testing.
Advise customers on model selection strategies and deployment architectures.
Support fine-tuning methodologies, including Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Reinforcement Fine-Tuning (RFT).
Develop evaluation frameworks to measure model quality and business impact.
Design scalable inference architectures that support enterprise workloads.
Work with GPU infrastructure, containerized applications, Kubernetes, and cloud platforms.
Collaborate with customer engineering teams to optimize system reliability, latency, scalability, and performance.
Address infrastructure, security, and compliance challenges to ensure successful production deployments.
Present technical recommendations to engineering teams and executive leadership.
Build trusted relationships with customer stakeholders, identify champions, address objections, and drive successful deployments.
Identify recurring customer pain points and provide actionable feedback to internal product and engineering teams.
Influence product roadmap decisions through customer insights and field experience. 🎯 Requirements
4–8 years of experience in AI Engineering, Applied AI, Machine Learning Engineering, Infrastructure Engineering, Field Engineering, Solutions Architecture, or a similar technical role.
3+ years of experience in customer-facing AI/ML or infrastructure roles, with a proven track record of leading technical workstreams for enterprise customers.
Strong Python development experience.
Proven experience deploying production AI or machine learning systems in enterprise environments.
Hands-on experience with Large Language Models (LLMs), open-model inference frameworks, and modern model-serving stacks.
Experience supporting model training, evaluation, and fine-tuning workflows, including SFT, DPO, and RFT.
Strong understanding of cloud platforms, including AWS, Azure, or GCP, with hands-on experience in Kubernetes and containerized environments.
Experience working with GPUs, distributed systems, performance-critical infrastructure, and AI infrastructure products and platforms.
Knowledge of Retrieval-Augmented Generation (RAG) architectures.
Strong communication skills, with the ability to engage both technical and executive audiences.
Ability to navigate ambiguity, solve complex technical challenges, and maintain a customer-centric mindset with strong business acumen.
Demonstrated executive presence, with the ability to engage deeply with engineers while clearly communicating technical trade-offs to senior leadership.
Experience working in customer-facing engineering, field engineering, or solutions architecture roles.
Experience deploying enterprise AI solutions and taking AI solutions from proof-of-concept to production.
Experience influencing product strategy through customer engagement.
Experience working in a startup or high-growth technology company, with the ability to thrive in fast-paced environments where speed, sound judgment, and ownership are essential. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior AI Architect 🔥 12 hours ago Consertus 1001 - 5000 🏛️ Government 🏢 Enterprise Website LinkedIn All Job Openings Senior AI Architect designing end-to-end intelligent software solutions leveraging LLMs at Consertus. Leading development of scalable systems and overseeing AI infrastructure in a remote setting. 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🤖 AI Engineer Cloud Google Cloud Platform JavaScript Next.js Python TypeScript AI Enablement Lead 🔥 12 hours ago Blue Acorn iCi 201 - 500 🛍️ eCommerce 🏢 Enterprise Website LinkedIn All Job Openings AI Enablement Lead driving the adoption of AI across Blue Acorn iCi with a focus on organizational change. Collaborating with leadership to integrate AI tools and processes into daily operations. 🇺🇸 United States – Remote 💵 $145k - $185k / year ⏰ Full Time 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor Enterprise AI Architect 🔥 12 hours ago SNHU Careers 10,000+ employees 📚 Education 🤝 Non-profit 🎯 Recruiter Website LinkedIn All Job Openings Enterprise AI Architect leading AI capabilities across Southern New Hampshire University's digital ecosystem. Responsible for aligning AI solutions with enterprise strategies and architecture standards. 🇺🇸 United States – Remote 💵 $137.8k - $220.6k / year ⏰ Full Time 🟠 Senior 🔴 Lead 🤖 AI Engineer AWS Azure Cloud Google Cloud Platform Microservices PyTorch ServiceNow Tensorflow AI Adoption Engineer 🔥 15 hours ago Traversal 11 - 50 🤖 Artificial Intelligence ☁️ SaaS 🤝 B2B Website LinkedIn All Job Openings AI Adoption Engineer facilitating customer adoption and integration for AI platforms. Ensuring effective usage and driving quarterly business reviews across enterprise accounts. 🇺🇸 United States – Remote 💵 $150k - $300k / year 🔥 Funding within the last year 💰 Seed on 2025-07 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Distributed Systems AI Adoption Engineer 🔥 15 hours ago Traversal 11 - 50 🤖 Artificial Intelligence ☁️ SaaS 🤝 B2B Website LinkedIn All Job Openings AI Adoption Engineer at Traversal, managing adoption phases for enterprise clients across various sectors. Driving customer integration and ensuring technical success. 🇺🇸 United States – Remote 💵 $150k - $300k / year 🔥 Funding within the last year 💰 Seed on 2025-07 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

AI Solutions DeploymentModel EvaluationPerformance TestingFine-Tuning MethodologiesLarge Language ModelsOpen-Model Inference FrameworksDistributed SystemsScalable Inference ArchitecturesLoad TestingBenchmarking

Soft Skills

Strong Communication SkillsCustomer-Centric MindsetProblem-SolvingExecutive PresenceAbility to Navigate Ambiguity