This page tracks remote ai engineer openings that are location-eligible for Oklahoma.
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• The Generative AI Developer Intern focuses on researching and developing advanced healthcare informatics, particularly in the realm of Generative AI and emerging Artificial General Intelligence. • The intern will assist and take a primary role in developing, researching, creating analytical materials, and collaborating with various teams to drive AI-related projects. • Gain hands-on experience in generative AI model development, architecture design, and database management. • Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management. • Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects. • Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends. • Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions. • Completes all responsibilities and goals outlined in the internship program. • Completes all special projects and other duties as assigned.
Role Description AI Architect is a technical leader reporting to the Director, Enterprise App Engineering. This role defines and drives Guidewire's enterprise AI strategy — translating business objectives across GTM, Finance, HR, Legal, and Engineering into production-grade AI systems that deliver measurable impact. The architect owns end-to-end design across ingestion, orchestration, agent frameworks, security, compliance, and delivery. - Define and own Guidewire's enterprise AI architecture vision — establishing technical direction, design standards, and reference implementations across all BizTech AI initiatives. - Architect and lead delivery of production AI systems: multi-agent orchestration platforms, RAG and GraphRAG knowledge systems, LLM-powered workflows, and enterprise context graph initiatives spanning all Systems of Record. - Own the full-stack AI architecture — from AWS infrastructure and data pipelines (Kafka, Iceberg, dbt, pgvector) through LLM gateway design, agent orchestration (LangGraph or equivalent), and user interfaces. - Help define enterprise AI security and governance standards — covering IAM, ABAC policy enforcement, PII handling, prompt injection defence, hallucination detection, and audit trail design for SOX and GDPR compliance. - Lead complex, multi-team AI programs end to end — from stakeholder alignment and architectural design through delivery, adoption, and measured business outcomes across concurrent initiatives. - Help drive technology evaluation and build-vs-buy decisions across the AI tooling portfolio. - Partner with Data Governance, Security, Legal, and Compliance teams to embed AI responsibly across the organisation. - Mentor senior engineers and foster a culture of technical excellence, pragmatic innovation, and accountable delivery across the BizTech organization. Qualifications - Bachelor's Degree in Computer Science, Engineering, or equivalent work experience. - 12+ years in enterprise software architecture, with at least 2 years designing and delivering production AI/ML or LLM-based systems at scale. - Proven track record leading large, complex enterprise AI programs — multi-year, multi-team initiatives with clear, measurable business outcomes. - AWS expertise: Bedrock, EKS, Lambda, RDS, S3, Kinesis, IAM, VPC. AWS Solutions. - Full-stack AI fluency: event ingestion and streaming pipelines, vector and graph databases, LLM orchestration and agent frameworks, API design, and front-end delivery. - Experience with AI observability and evaluation — trace instrumentation, eval frameworks, and production monitoring (Datadog LLM Observability, LangSmith, or equivalent). - iPaaS and integration architecture experience — Workato, MuleSoft, or equivalent for enterprise SoR integration and event-driven automation. - 5+ years of technical leadership — mentoring senior engineers, driving architecture strategy, and managing cross-functional stakeholder relationships. - Excellent communication and executive presence — able to present complex AI architecture decisions clearly to both engineering teams and senior business leadership. - Demonstrated experience shipping Generative AI systems in production enterprise environments, with measurable impact on business outcomes. Requirements - The US base salary range for this full-time position is $132,000 - $198,000. Your base pay will depend on your experience, skills, education, training, and location among other factors. - All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan. - In addition, some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance. Benefits - Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. - Accommodation requests should be directed to Accommodations@guidewire.com. - If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. - The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, e-mail Accommodations@guidewire.com to make an appeal. - Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.
A venture-backed startup building a modern data platform for the real estate industry, enabling automation, analytics, and AI-powered workflows for real estate operators. The team includes engineers and leaders from companies such as major fintech, cloud, and consumer technology platforms, and is focused on solving complex infrastructure and data challenges in a large, underserved industry.
Role Description A fast-growing cloud-native professional services company is hiring Forward Deployed Engineers for a new AI-focused business unit built around enterprise LLM adoption. This is a startup-style team inside a larger, established consulting organization: small team, high autonomy, direct client ownership, and real delivery responsibility from day one. You’ll work directly with enterprise customers to take AI from idea to production. Engagements may focus on AI-assisted software development, agentic engineering workflows, RAG/LLM applications, or applied AI enablement for business teams. - Own client engagements end-to-end: discovery, scoping, architecture, delivery, enablement, and expansion. - Run stakeholder interviews, technical workshops, architecture reviews, and enablement sessions. - Build or guide production AI systems such as agents, RAG pipelines, AI-native apps, workflow automations, or AI-assisted SDLC tooling. - Translate ambiguous business problems into practical, deliverable technical solutions. - Work with both technical and non-technical stakeholders, from engineers and architects to VP/C-suite leaders. - Identify opportunities to expand accounts through strong delivery and proactive problem-solving. - Leave clients with durable capability: documented, maintainable systems, workflows, and enablement materials. Qualifications - 4–10 years of experience in client-facing technical delivery, consulting, systems integration, professional services, FDE, solutions engineering, or customer-facing software engineering. - Hands-on experience with LLM applications, AI agents, RAG pipelines, AI workflows, or AI-assisted development tools. - Comfortable with tools such as Claude, Claude Code, Cursor, Codex, AWS Bedrock, LangChain/LangSmith, Python, AWS, Kubernetes, Zapier, Power Automate, or similar. - Strong consulting instincts: able to run discovery, manage stakeholders, communicate clearly, and drive outcomes without heavy oversight. - Able to speak technically with engineers while also explaining business value to executives. - High tolerance for ambiguity and a bias toward action. Requirements - Two strong-fit profiles: - AI/Workflow Transformation FDE: Consulting, implementation, or enterprise SaaS delivery background with hands-on AI enablement experience. Strong fit for candidates who have helped business teams adopt AI tools, automate workflows, or transform knowledge-worker processes. - Technical / SDLC FDE: Software engineering background with client-facing delivery experience. Strong fit for candidates who have built production AI systems, agentic coding workflows, developer tooling, RAG apps, or engineering enablement programs. - Strong signals: - Prior consulting, professional services, systems integration, or implementation experience. - Experience leading workshops, enablement sessions, or technical discovery. - AWS/cloud consulting background. - Production AI/LLM project experience. - Account expansion or “sell-do” delivery experience. - Comfort working remotely with up to 50% travel depending on client needs.
Role Description We are looking for an Application Architect with strong AI engineering experience to design and build intelligent, agentic applications on Google Cloud Platform. This role sits within an application engineering team and focuses on architecting AI-enabled systems using the Google Agentic Development Kit (ADK), Gemini, and Vertex AI — integrated into enterprise Java/Python backends and cloud-native microservices. You are equally comfortable defining application architecture, designing agentic workflows, writing production-quality code, and translating AI capabilities into practical, mission-aligned solutions for federal stakeholders. This role is remote with a preference for candidates located in Virginia, Maryland, or Washington DC. Key Responsibilities - Architect and implement AI-enabled application systems on GCP, with a focus on agentic workflows using Google ADK and Gemini Pro. - Design human-in-the-loop agentic systems — defining agent roles, tool use, orchestration patterns, and guardrails for responsible, auditable AI behavior. - Integrate AI/ML capabilities (Vertex AI, Gemini APIs, embeddings, RAG) into enterprise Java and Python applications via well-designed APIs and microservices. - Lead application-layer design decisions: data flow, context management, session handling, and state management within agentic architectures. - Collaborate with Data Engineers (BigQuery, Dataform) and Cloud Architects to ensure AI application solutions are grounded in reliable, governed data. - Conduct architectural reviews, define coding standards for AI-integrated applications, and mentor engineers on agentic design patterns. - Evaluate AI use cases for feasibility, risk, and mission fit; prototype and validate approaches before committing to full builds. - Contribute to responsible AI practices: explainability, human oversight, auditability, and alignment with federal AI governance requirements. - Stay current on the Google AI ecosystem (Gemini, ADK, Vertex AI Agent Builder) and inform team and leadership on strategic direction. Qualifications - 5–8 years of software or application engineering experience, with demonstrated focus on AI-integrated or intelligent application design. - Hands-on experience with Google ADK or comparable agentic frameworks (LangGraph, LangChain, AutoGen); Google ADK strongly preferred. - Proficiency in Python for AI/ML integration; Java experience a plus in application team context. - Experience integrating LLM APIs (Gemini, OpenAI, or equivalent) into production application workflows. - Solid understanding of agentic design patterns: tool use, multi-agent orchestration, retrieval-augmented generation (RAG), memory and context management. - Experience with GCP services: Vertex AI, Cloud Run, GKE, BigQuery, Pub/Sub. - Familiarity with REST API design, microservices architecture, and CI/CD pipelines (Harness preferred). - Understanding of responsible AI principles: human-in-the-loop design, auditability, bias awareness, and federal AI governance. Desired Qualifications - Experience with Vertex AI Agent Builder, Gemini Code Assist, or Gemini CLI in a development workflow context. - Familiarity with GCP-native data tooling: BigQuery, Dataform, Looker. - Experience on federal or large-scale enterprise modernization programs. - Exposure to FedRAMP/FISMA requirements and security-compliant AI deployment practices. - Experience with DevSecOps pipelines (Checkmarx, Invicti, or equivalent SAST/DAST tooling). Additional Information - Successful completion of a client-required background investigation and suitability determination will be required. - The ability to obtain and maintain a federal security clearance may be required based on engagement. - Bachelor's degree in Computer Science, Software Engineering, or a related field; advanced degree a plus. - Google Cloud Professional Cloud Architect or Professional Machine Learning Engineer certification preferred. - Security+ desirable. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off (Vacation, Sick & Public Holidays) - Family Leave (Maternity, Paternity) - Short Term & Long Term Disability - Training & Development - Work From Home - Wellness Resources - Employee Bonus Programs
ITC Service Group (“ITC”) is an Equal Opportunity Employer. We do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.
Role Description We are seeking a Lead AI Engineer to join our Business Operations team. This position may be able to work remotely from anywhere within the United States. The Lead AI Engineer is the first engineering hire on AFL's AI Enablement team, responsible for designing, building, and deploying agentic AI systems that automate the operational backbone of the business through workflow orchestration, model adaptation, and analytics. Working directly with the AI Enablement Manager, the Lead AI Engineer will help lay the technical foundation the rest of the team will build on — including model selection and management, deployment posture, orchestration patterns, evaluation, and audit. As the team grows, an AI Product Manager and AI Operations Specialists will join to take on intake, sequencing, stakeholder coordination, and product ownership of deployed solutions, allowing engineers to stay focused on build work. Responsibilities - Architecture & Technical Foundation: - Establishes the architectural patterns, evaluation practices, and deployment standards for the team. - Makes framework and model recommendations that set the foundation for how the team builds — evaluates orchestration frameworks, selects deployment patterns, trains and fine-tunes models, and determines where managed platforms end and custom build begins. - Solution Design & Delivery: - Translates proposed business solutions into technical plans — defines product life cycles, prioritizes the backlog, and breaks initiatives into buildable work. - Owns solutions end-to-end: technical planning, architecture, build, deploy, and the monitoring that keeps them honest in production. - Production Reliability: - Builds the monitoring, evaluation, and regression detection systems that keep production agents reliable — including logging, performance benchmarking, and feedback loops that surface drift early. - Governance & Collaboration: - Partners with data governance to ensure solutions meet compliance, data quality, and operational standards. Qualifications - Bachelor's degree in Computer Science or related field, or equivalent experience. - 7+ years of software engineering experience with a strong full-stack foundation — backend services, API design, system integration, and data infrastructure. - Recent hands-on experience building AI or LLM-backed systems and shipping them to production. - Experience architecting solutions from scratch and owning them through deployment, observability, testing, and ongoing reliability. - Experience with AI development practices — model selection, fine-tuning, prompt engineering, evaluation frameworks, and understanding when each approach is the right fit. - Proficiency in Python; experience with cloud platforms. - Experience mentoring engineers and setting technical direction across multiple initiatives. - Strong communication skills with both technical and non-technical stakeholders. Working Conditions - Environment: Remote work environment (US-based). - Travel: Occasional travel (domestic) as needed. Benefits - Flexible time off policy. - 401K Company match (up to 4% — dollar for dollar). - Professional development, training, and tuition reimbursement programs. - Excellent medical, dental, vision, and life insurance policy options. - Opportunities for career advancement with an industry-leading company!
Advancing the ways the world pays, banks and invests.
Role Description The Applied AI Engineer - Business Applications will support the optimization of supply chain business processes to improve overall organization performance by developing, maintaining, and testing custom prompt AI models using MS Power Platform. The department focuses on developing and implementing operational excellence strategies that will modernize the Supply Chain organization of the future by improving communication, data synergy, and streamlining processes for automation. The co-op student will be involved in all stages of development, including: - Gathering requirements - Designing - Developing - Testing - Deploying solutions The position will be fully remote, with occasional travel to the office as needed. In-person outings will be organized for the co-op students during the term and attendance is encouraged. The position is available as an 8-month co-op placement. What You Will Be Doing: - Design and optimize prompt-based AI models to improve business process efficiency - Develop low-code solutions using Microsoft Power Platform tools - Integrate AI models into applications to support decision-making and automation - Collaborate with stakeholders to gather requirements and translate them into technical solutions - Build and maintain workflows using Power Automate to streamline operations - Monitor solution performance and implement improvements using data insights - Create clear documentation for applications, workflows, and AI models - Support testing, deployment, and ongoing maintenance of business applications - Apply machine learning APIs to enhance solution capabilities - Stay current with emerging AI, automation, and large language model trends Qualifications - Currently pursuing a degree in computer science, data science, engineering, mathematics, or a related field, or equivalent experience - Hands-on experience with Microsoft Power Platform tools, including Power Apps and Power Automate - Foundational knowledge of AI, machine learning concepts, and prompt engineering - Strong problem-solving and analytical thinking skills - Ability to design and implement data-driven solutions - Experience working with APIs and integrating external services - Effective written and verbal communication skills - Ability to work independently and collaborate within cross-functional teams Preferred Qualifications - Experience with Azure AI or other cloud-based machine learning platforms - Familiarity with data preprocessing, transformation, and integration techniques - Exposure to Power BI for reporting and visualization - Understanding of supply chain processes and operations - Experience working in agile development environments Benefits - Opportunities to make an impact in fintech - Personal and professional learning - Inclusive, diverse work environment - Resources to give back to your community - Competitive salary and benefits
Role Description Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As an AI Engineer/Architect, you’ll see the bigger picture on mission initiatives and where your program management career can go at GDIT. MEANINGFUL WORK AND PERSONAL IMPACT - Lead the design, architecture, and product roadmap of next-gen AI/ML and LLM solutions for customers - Showcase solutions through customer-facing exercises, demos, and pace-setting projects - Collaborate with business development and capture teams to support bids, proposals, and OTA efforts - Bring innovation to programs by partnering with on-program teams to deliver AI/ML solutions Qualifications - Education: BA/BS or equivalent - Experience: 10+ years of related experience - Proven experience in growing AI projects from proof of concept to production, in one or more functional areas of edge AI and sensing, autonomous systems, intelligence analysis, contested logistics, and training & readiness - Excellent consultative selling skills; proven ability to engage stakeholders, identify new opportunities, and drive outcome-based value of AI/ML or LLM solutions - Strong communication and leadership skills; ability to distill complex requirements into actionable deliverables and guide multidisciplinary teams - Willingness to travel (up to 25%) and work on-site at GDIT facilities as needed - Experience supporting U.S. Department of War (DOW) programs - Experience with multi-tenant, distributed systems, and cloud-native architecture patterns - Security clearance level: Secret clearance required to start with the ability to obtain & maintain a Top Secret - US citizenship required Requirements - Master of Science or PhD in related fields (preferred) - Cloud experience with AWS, Azure, etc. (preferred) - Programming experience with JAVA, RUST, Python, or similar languages (preferred) - Experience with building and training classification and prediction models; leveraging large language models and agentic workflows (preferred) Benefits - Growth: AI-powered career tool that identifies career steps and learning opportunities - Support: An internal mobility team focused on helping you achieve your career goals - Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off - Community: Award-winning culture of innovation and a military-friendly workplace Company Description At GDIT, the mission is our purpose, and our people are at the center of everything we do. The likely salary range for this position is $153,000 - $207,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location, and possibly contractual requirements and could fall outside of this range. - Scheduled Weekly Hours: 40 - Travel Required: 25-50% - Telecommuting Options: Remote - Work Location: Any Location / Remote
Role Description This is a remote position. We're Hiring: Forward Deployed AI Architect (Remote | Full-Time) If you can architect enterprise AI systems and win client trust in the same week — we want you. What you'll own: - Multi-agent & RAG pipelines (LangChain, LangGraph, CrewAI, AutoGen) - Full stack delivery: Next.js, Nodejs → FastAPI → Kubernetes → cloud (AWS/GCP/Azure) - Pre-sales: discovery workshops, proposals, POCs, C-level presentations Qualifications - 8-12+ years engineering - 3-4+ years hands-on GenAI/LLM delivery - Full-stack fluency: Python + TypeScript, not just AI components - U.S. enterprise consulting experience Requirements This isn't a research role. You ship production systems and speak business.
Founded in 2011 and headquartered in Herndon, Virginia, GuidePoint Security furnishes commercial and federal organizations with customized information security
• Contribute to the authoring and deployment of agentic harnesses within existing agentic platforms • Assist in prototyping and iterating on agentic harnesses and LLM-integrated workflows • Define and implement benchmarks to evaluate the performance, reliability, and accuracy of agentic pipelines and workflows, supporting continuous improvement and quality assurance • Research and evaluate emerging AI tools, models, and platforms, and surface relevant findings to the team • Support the identification and development of AI-powered automations that improve efficiency across service delivery, operations, and sales functions • Participate in workflow assessments to understand current-state processes and identify opportunities for agentic automation • Contribute to internal tools, integrations, and AI-assisted workflows in active use across the Northeast region • Serve as a hands-on resource for regional teams, building their capability to independently operate and maintain agentic harnesses • Other duties as assigned
Role Description SAIC is seeking an AI Engineer to support the Administrative Office of the U.S. Courts (AOUSC/AO) Cloud Technology Broker Integration Partner (CTBIP) contract. This position will provide services to build cloud foundations for the Judiciary, including cloud advisory/strategy and implementation services. This position is contingent upon contract award anticipated for May/June 2026 with a June/July 2026 start date. This role must be performed in the United States and will be remote. There may be occasional travel to customer site in Washington, DC. - Design and implement AI-driven solutions to optimize AOUSC's multi-cloud operations, focusing on automation and predictive analytics. - Develop and maintain centralized FinOps dashboards for enhanced cost and resource management across multi-cloud environments. - Integrate AI capabilities into monitoring and security tools, ensuring compliance with NIST 800-53 standards and Zero Trust principles. - Enable the development of self-healing systems and automated workflows to improve operational resilience and efficiency. - Conduct knowledge transfer sessions and facilitate training for AOUSC teams to maximize their ability to effectively use AI-based solutions. - Collaborate with stakeholders to align AI initiatives with organizational goals and ensure seamless integration with existing multi-cloud systems. Company Description SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. - We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. - SAIC is an Equal Opportunity Employer. - Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. - For more information, visit saic.com . - For ongoing news, please visit our newsroom .
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AWS, Azure, Cloud, Realm, Python
