AI Engineer

Platinum Technologies

AI Engineer creating and implementing AI solutions across multiple cloud environments for federal agencies. Join Platinum Technologies to drive innovation in AI and data solutions.

Posted 5/20/2026full-timeWashington • District of Columbia, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $160,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformKubernetesOpenShiftPythonPyTorchTensorflowTerraform

About the role

Key responsibilities & impact

Design and implement AI solutions that operate across multi-cloud and hybrid environments, including Azure, Google Cloud Platform (GCP), and AWS.
Evaluate and recommend hosting, infrastructure, and deployment architectures based on mission requirements, security posture, scalability, portability, and long-term maintainability — not tied to a single cloud provider.
Architect AI/ML platforms and applications using cloud-native and containerized technologies that minimize vendor lock-in and maximize interoperability.
Build and modernize web applications using modern full-stack frameworks and AI assisted development tooling to accelerate delivery and improve developer productivity.
Develop sophisticated conversational AI and knowledge management solutions that enable users to securely interact with enterprise data using natural language.
Design and implement Retrieval-Augmented Generation (RAG) architectures using vector databases, semantic search, knowledge graphs, and document processing pipelines.
Lead the design of secure cloud and on-premises AI infrastructure solutions that meet Federal Government and internal compliance requirements.
Define architectural design decisions affecting infrastructure selection, orchestration, model hosting, observability, scalability, and system behavior for AI enabled solutions.
Analyze client requirements and emerging AI technology trends to recommend scalable, compliant, and future-proof architectures.
Participate in design thinking and solution engineering activities to solve complex mission and operational challenges.
Lead whiteboarding and technical strategy sessions with clients, partners, and internal teams.
Communicate findings and recommendations to both technical and non-technical stakeholders, translating complex AI and infrastructure concepts into actionable guidance.
Ensure infrastructure and application architectures support secure software delivery practices including CI/CD, Infrastructure as Code (IaC), automated testing, and model lifecycle management.

Requirements

What you’ll need

B.S. in Computer Science, Electrical Engineering, Computer Engineering, Data Science, or equivalent experience.
4+ years of experience designing and deploying secure AI and cloud-native solutions in enterprise or federal environments.
Experience working across multiple cloud providers including Azure, AWS, and/or Google Cloud Platform (GCP).
Strong understanding of cloud portability, platform abstraction, Kubernetes/container orchestration, and strategies to avoid vendor lock-in.
Experience designing AI/ML solutions that are LLM-agnostic and capable of integrating with multiple commercial and open-source models (OpenAI, Anthropic, Gemini, Llama, Mistral, etc.).
Experience with Google Vertex AI, AWS Bedrock, Azure AI Foundry, or equivalent AI platform services.
Experience deploying AI workloads on Kubernetes or OpenShift.
Experience with open-source LLM hosting and inference optimization.
Familiarity with MCP (Model Context Protocol), AI orchestration frameworks, and agentic workflows.
Demonstrated experience modernizing web applications using modern front-end and back-end frameworks along with AI-assisted software development tooling.
Strong full-stack engineering capabilities, including user interface development, API design, backend services, and secure application integration.
Experience building conversational AI systems, intelligent search platforms, and enterprise knowledge assistants using RAG architecture.
Experience with vector databases, semantic search technologies, and enterprise search platforms.
Proficiency with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face, or similar ecosystems.
Experience with Infrastructure as Code (Terraform preferred), CI/CD pipelines, containerization, and DevSecOps practices.
Familiarity with AI observability, model evaluation, prompt engineering, and AI governance practices.
Experience implementing secure AI systems in regulated federal environments.
Knowledge of federal compliance and security frameworks including FISMA, RMF, FedRAMP, NIST 800 series, Zero Trust Architecture, and cloud security controls.
Strong oral and written communication skills, including client-facing presentations, architecture discussions, and technical strategy development.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Platinum Technologies Website LinkedIn All Job Openings 51 - 200 employees 🤖 Artificial Intelligence 🔒 Cybersecurity Artificial Intelligence
Cybersecurity
Cloud Platinum Technologies is a forward-thinking technology company that specializes in crafting cutting-edge solutions to enhance the end-user experience efficiently and securely. The company offers a range of services such as Cyber Operations, Digital Modernization, Information Assurance, Low Code Development, Cloud, Artificial Intelligence, and Data Solutions. With a culture centered on inclusivity, innovation, and ethical integrity, Platinum Technologies focuses on transforming possibilities into game-changing solutions that have a positive impact on the world. It supports clients by delivering performance-based and outcome-driven solutions that provide a return on their investment. Comprising a skilled team of professionals, the company is committed to fostering a collaborative environment where growth, learning, and mentorship drive the development of revolutionary solutions. AI Engineer 🔥 35 minutes ago 🏢🏡 Washington – Hybrid 💵 $160k - $180k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer AWS Azure Cloud Google Cloud Platform Kubernetes OpenShift Python PyTorch Tensorflow Terraform Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design and implement AI solutions that operate across multi-cloud and hybrid environments, including Azure, Google Cloud Platform (GCP), and AWS.
Evaluate and recommend hosting, infrastructure, and deployment architectures based on mission requirements, security posture, scalability, portability, and long-term maintainability — not tied to a single cloud provider.
Architect AI/ML platforms and applications using cloud-native and containerized technologies that minimize vendor lock-in and maximize interoperability.
Build and modernize web applications using modern full-stack frameworks and AI assisted development tooling to accelerate delivery and improve developer productivity.
Develop sophisticated conversational AI and knowledge management solutions that enable users to securely interact with enterprise data using natural language.
Design and implement Retrieval-Augmented Generation (RAG) architectures using vector databases, semantic search, knowledge graphs, and document processing pipelines.
Lead the design of secure cloud and on-premises AI infrastructure solutions that meet Federal Government and internal compliance requirements.
Define architectural design decisions affecting infrastructure selection, orchestration, model hosting, observability, scalability, and system behavior for AI enabled solutions.
Analyze client requirements and emerging AI technology trends to recommend scalable, compliant, and future-proof architectures.
Participate in design thinking and solution engineering activities to solve complex mission and operational challenges.
Lead whiteboarding and technical strategy sessions with clients, partners, and internal teams.
Communicate findings and recommendations to both technical and non-technical stakeholders, translating complex AI and infrastructure concepts into actionable guidance.
Ensure infrastructure and application architectures support secure software delivery practices including CI/CD, Infrastructure as Code (IaC), automated testing, and model lifecycle management. 🎯 Requirements
B.S. in Computer Science, Electrical Engineering, Computer Engineering, Data Science, or equivalent experience.
4+ years of experience designing and deploying secure AI and cloud-native solutions in enterprise or federal environments.
Experience working across multiple cloud providers including Azure, AWS, and/or Google Cloud Platform (GCP).
Strong understanding of cloud portability, platform abstraction, Kubernetes/container orchestration, and strategies to avoid vendor lock-in.
Experience designing AI/ML solutions that are LLM-agnostic and capable of integrating with multiple commercial and open-source models (OpenAI, Anthropic, Gemini, Llama, Mistral, etc.).
Experience with Google Vertex AI, AWS Bedrock, Azure AI Foundry, or equivalent AI platform services.
Experience deploying AI workloads on Kubernetes or OpenShift.
Experience with open-source LLM hosting and inference optimization.
Familiarity with MCP (Model Context Protocol), AI orchestration frameworks, and agentic workflows.
Demonstrated experience modernizing web applications using modern front-end and back-end frameworks along with AI-assisted software development tooling.
Strong full-stack engineering capabilities, including user interface development, API design, backend services, and secure application integration.
Experience building conversational AI systems, intelligent search platforms, and enterprise knowledge assistants using RAG architecture.
Experience with vector databases, semantic search technologies, and enterprise search platforms.
Proficiency with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face, or similar ecosystems.
Experience with Infrastructure as Code (Terraform preferred), CI/CD pipelines, containerization, and DevSecOps practices.
Familiarity with AI observability, model evaluation, prompt engineering, and AI governance practices.
Experience implementing secure AI systems in regulated federal environments.
Knowledge of federal compliance and security frameworks including FISMA, RMF, FedRAMP, NIST 800 series, Zero Trust Architecture, and cloud security controls.
Strong oral and written communication skills, including client-facing presentations, architecture discussions, and technical strategy development. 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 AI Engineer 🕒 April 28 EEOC 1001 - 5000 🏛️ Government 📋 Compliance 🌍 Social Impact Website LinkedIn All Job Openings Agentic AI Engineer specializing in building AI systems at Booz Allen Hamilton. Transitioning AI strategy from LLM chatbots to autonomous multi-agent orchestrations. 🏢🏡 Washington – Hybrid 💵 $99k - $225k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Neo4j React Lead AI Architect – Federal 🕒 April 3 DataRobot 501 - 1000 🤖 Artificial Intelligence 🏢 Enterprise ☁️ SaaS Website LinkedIn All Job Openings AI Architect providing technical integration and support for DataRobot solutions within Federal environments. Collaborating across teams to enhance AI deployment for government clients within compliance frameworks. 🏢🏡 Washington – Hybrid ⏰ Full Time 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor Ansible Flux Kubernetes Linux OpenShift Puppet Terraform 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 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 designcloud-native technologiescontainer orchestrationKubernetesPythonAI/ML frameworksInfrastructure as CodeCI/CD pipelinesvector databasessemantic search

Soft Skills

communication skillsleadershipproblem-solvingcollaborationtechnical strategy developmentclient-facing presentationsdesign thinkingsolution engineeringtranslating complex conceptsanalytical skills

Certifications

B.S. in Computer ScienceB.S. in Electrical EngineeringB.S. in Computer EngineeringB.S. in Data Science