AI Engineer

Job not on LinkedIn

🕒 Yesterday

🇺🇸 United States – Remote

💵 $98.1k - $135k / year

⏳ Contract/Temporary

🟠 Senior

🔴 Lead

🤖 AI Engineer

👻 Ghost score 0%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

9th Way Insignia

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

9th Way Insignia is a Service-Disabled Veteran-Owned Small Business (SDVOSB) that serves the federal government by delivering modern technology solutions and thought leadership. The company specializes in cybersecurity, automation, and data science to streamline operations and reduce costs for Federal agencies. By leveraging automation and artificial intelligence, 9th Way Insignia helps optimize workflows, eliminate redundancies, and enhance mission-critical operations, ensuring efficiency and significant savings for clients.

📋 Description

• Design, develop, train, test, deploy, and maintain AI and machine learning models for enterprise-scale and Government applications • Develop and operationalize reliable, scalable, maintainable, production AI/ML solutions for VA mission requirements • Collect, clean, transform, analyze, and prepare structured and unstructured data for AI/ML development and evaluation • Evaluate AI technologies, models, tools, frameworks, and architectures and recommend solutions for Federal Government and cybersecurity use cases • Develop and support Generative AI and LLM solutions, including configuration, prompts, classifiers, fine-tuning, content moderation, safety filters, and model controls • Evaluate AI-generated outputs for accuracy, factuality, grounding, reliability, bias, helpfulness, honesty, and performance • Design and execute AI/ML evaluation, validation, benchmark testing, and comparative output evaluation • Perform AI red-team testing to identify unintended behaviors, bias, vulnerabilities, and risks • Implement controls to improve output factuality and grounding, including source attribution and content controls • Monitor AI models continuously and investigate performance, compliance, security, and behavior issues • Manage AI/LLM model changes throughout the system lifecycle • Maintain technical documentation including Model Cards, System Cards, Data Cards, evaluation results, configurations, controls, and system documentation • Support AI acceptable-use policies, end-user guidance, feedback mechanisms, monitoring plans, and governance documentation • Protect VA-sensitive information, PII, PHI, and other sensitive Government data • Ensure compliance with VA cybersecurity, Federal AI, security, privacy, and responsible AI requirements • Incorporate secure-by-design, Zero Trust, least-privilege, defense-in-depth, and risk-management principles • Support security and architectural reviews and identify risks, vulnerabilities, control gaps, attack paths, misuse cases, and mitigations • Collaborate with data scientists, cybersecurity architects and engineers, software developers, DevSecOps engineers, SMEs, program leadership, and Government stakeholders • Translate mission, cybersecurity, business, and technical requirements into AI/ML architectures and engineering solutions • Participate in design reviews, pilots, proofs of concept, use-case development, modernization initiatives, and engineering working groups • Produce technical documentation, analysis, recommendations, briefings, and stakeholder materials • Deliver Government-owned AI technical artifacts including models, model weights, algorithms, configurations, documentation, data models, source code, and supporting components • Other responsibilities as assigned • May require up to two onsite travel visits per year

🎯 Requirements

• Minimum of 10 years of experience in relevant fields including IT security, data science, or software engineering, with at least 5 years involving the design, development, or deployment of AI or machine learning systems in enterprise or Government environments • A PhD in a related field may substitute for up to 5 years of the required experience • Expertise working on data science, machine learning, or AI projects through internships, research projects, or professional roles • Expertise building, training, and deploying machine learning models and AI systems in a production environment • Expertise collaborating with cross-functional teams, including data scientists, software developers, and domain experts • Expertise in data collection, cleaning, and analysis techniques to prepare datasets for AI modeling • Expertise applying AI solutions to real-world problems in enterprises and domains such as large corporations and Government agencies similar in size/scope to GSA, IRS, DoD, or VA • Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Voluntary Life Insurance • 401(k) • Basic Life A&D • Short-term disability (STD) • Long-term disability (LTD) • PTO • Telehealth • Paid holidays • FSA • HSA • Employee Assistance Program (EAP) • Traveling Assistance