Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Build and deploy production-grade generative and agentic AI applications using Python or JavaScript/TypeScript, LangChain, LangGraph, RAG, vector databases, Docker, Kubernetes, and cloud platforms. Develop workflows, integrations, evaluation pipelines, observability, security controls, and CI/CD processes. Optimize quality, performance, reliability, and cost while supporting production operations. Collaborate with architects, engineers, security teams, customers, and stakeholders; create documentation, participate in reviews, mentor engineers, and communicate technical tradeoffs.

Performs cloud security engineering across AWS and GCP, including system hardening, patching, vulnerability remediation, compliance scanning, security tool management, incident response, and cloud operations. Troubleshoots Linux, Windows, network, application, and identity issues; supports FedRAMP, FISMA, and NIST 800-53 requirements; documents procedures and incidents; contributes to automation; mentors junior engineers; and participates in a 24×7 on-call rotation.

Reviews coding problems derived from production repositories for fairness, clarity, technical soundness, and test quality. The role involves assessing code changes across unfamiliar stacks, identifying coherence issues or missing context, and writing concise justifications. Work is fully async and part-time, requiring independent judgment, strong software engineering fundamentals, and clear English writing.

Own enterprise technical deployment roadmaps, milestones, acceptance criteria, governance, and post-launch adoption. Coordinate Product, Engineering, Delivery, Support, and Sales teams to resolve blockers, manage resources, map workflows, track KPIs, and demonstrate ROI. Partner with account executives on technical expansion opportunities and establish scalable deployment playbooks, PMO templates, and integration patterns.

Build and support reliable dashboards for AI infrastructure and financial models, including TCO, tokenomics, and compute capital models. Responsibilities include implementing features, loading model releases, validating data, developing accuracy checks, collaborating with analysts, creating charts and explanations, answering client questions, and contributing to research newsletters. The role requires strong Python or TypeScript skills, software engineering experience, numerical accuracy, and effective use of AI coding agents.

Manage the PA Turnpike’s enterprise SAP S/4HANA Wave 2 enhancement initiative across multiple workstreams, vendors, systems, and stakeholders. Responsibilities include project governance, integrated scheduling, resource and cost planning, risk and dependency management, lifecycle execution, stakeholder coordination, deliverable oversight, lessons learned, and alignment with PMO standards. The role is remote with onsite attendance in Middletown, Pennsylvania required approximately one week per month and as needed.

Own enterprise new-business sales across the US East Coast, including pipeline generation, discovery, qualification, product presentations, multi-stakeholder deal management, forecasting, negotiation, and closing complex six-figure SaaS contracts. Partner with Inside Sales and Pre-Sales teams while selling security, risk, compliance, data, or AI governance solutions to enterprise buyers.

Supports corporate equity and debt raises, M&A, strategic transactions, valuation modeling, investor and board materials, diligence, and corporate strategy. The role builds financial models, evaluates acquisitions and partnerships, coordinates advisors, prepares executive recommendations, and helps structure new business models in energy, digital infrastructure, and AI-driven power demand.

Own the endpoint protection platform strategy, roadmap, backlog, and AI activity governance across supported operating systems. Partner with Engineering and Architecture to define technical requirements, prioritize trade-offs, and ship usable, measurable capabilities. Guide deployment through MDM, RMM, and scripting while addressing software conflicts, VPNs, privacy, encryption, and unfamiliar networks. Represent the product to customers, partners, and prospects, and contribute to interviews.

Lead end-to-end delivery of an enterprise data platform program for a federal customer. Responsibilities include managing cost, schedule, scope, quality, risks, staffing, subcontractors, dependencies, contract deliverables, Agile ceremonies, and government stakeholder relationships. The role requires maintaining project plans, dashboards, reports, and program controls while keeping engineering teams unblocked and delivery on track.