Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Lead technical enablement for resellers, distributors, MSSPs, and system integrators. Train partner teams, support partner-led sales, run demos and proofs of concept, create technical enablement assets, answer security reviews and RFPs, and provide product feedback. Collaborate with Channel Sales, Sales Engineering, Product, Marketing, and Engineering while representing the company at partner events and customer briefings. Travel is required for partner and customer engagements.

Conduct end-to-end adversarial testing of LLM-powered systems, including jailbreaks, prompt injection, data leakage, tool misuse, and policy bypasses. Automate attacks with Python, build reusable attack libraries and regression tests, document reproducible security findings, and translate model failures into product requirements and customer-facing evidence. Support demos, security reviews, and sales conversations while tracking emerging AI security techniques.

Designs, builds, deploys, evaluates, and optimizes production AI systems, including RAG pipelines, agentic workflows, and model integrations. Uses Python and cloud platforms to deliver scalable solutions, establishes quality and monitoring frameworks, addresses responsible AI and security concerns, and manages cost-performance tradeoffs. Serves as a senior technical client advisor, supports discovery and presales, mentors engineers, researches emerging AI technologies, and develops reusable accelerators.

Evaluate and improve the safety, security, and robustness of large language models. Responsibilities include designing jailbreak, prompt injection, adversarial, and tool-use abuse tests; developing regression suites and evaluation frameworks; identifying vulnerabilities; translating findings into safety recommendations; and documenting methodologies and results for technical and non-technical stakeholders.

Red team conversational AI models and agents by probing jailbreaks, prompt injections, misuse cases, bias, and multi-turn manipulation. Annotate failures, classify vulnerabilities, apply testing frameworks and benchmarks, and produce reproducible reports, datasets, and attack cases. The role requires native English and Finnish fluency, prior AI or cybersecurity red teaming experience, strong communication, structured analysis, and adaptability across projects.

Analyze complex business problems, conduct market and competitive research, evaluate business performance, identify growth opportunities, and develop data-driven strategic recommendations. The role supports operational improvements, business transformation, and implementation initiatives through structured frameworks, financial analysis, presentations, reports, and executive-level communication. Candidates need 1–7 years of consulting experience, strong analytical abilities, excellent communication skills, and a degree from a top-ranked university.

Design, develop, debug, and optimize LustreFS across client, metadata, object storage, networking, and backend layers. Investigate customer and scale-related defects, perform root-cause analysis, improve reliability and performance, review code and designs, collaborate with QE and support, create diagnostics and documentation, and use AI-assisted tools to accelerate triage and engineering workflows.

Staff Engineer responsible for designing, developing, debugging, and optimizing LustreFS and distributed storage systems. The role investigates complex customer and scale-related issues, performs root-cause analysis, improves reliability and performance, reviews designs and code, and collaborates with QE, support, and release teams. Responsibilities include working across Lustre subsystems, Linux systems, networking, and backend storage, while using AI-assisted tools to accelerate debugging, triage, documentation, and feature development.

Own the cryptographic core: select and evolve MPC/TSS schemes, author protocol reviews, implement and review Rust/Go production crypto, lead audit responses, prepare incident fixes, publish and represent externally, and teach/mentor engineers while scaling the crypto function.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.

Design, build, and maintain backend services and APIs using Ruby on Rails. Ensure performance, scalability, reliability, and test coverage. Collaborate with Product, Frontend, Data Engineering, and QA to deliver production-quality code for web and mobile platforms.

Manages existing customer accounts using conversational AI and AI marketing automation solutions for automotive dealers, OEMs, and marketplaces. Responsibilities include relationship management, retention and growth initiatives, performance reporting, customer needs analysis, solution alignment, and explaining complex AI concepts. Partners cross-functionally with AI specialists and data scientists, manages multiple projects, and travels up to 40%.

Build and operate production AI and LLM systems for safety-critical enterprise applications. Responsibilities include multi-step agent orchestration, retrieval across Neo4j and vector stores, evaluation frameworks, model comparison, observability, quality monitoring, failure handling, and production incident response. The role requires strong Python and experience with asynchronous services, LLM workflows, evaluation, retrieval, graph reasoning, and enterprise AI security. It also contributes to model selection, technical direction, and the AI roadmap.

Own top-of-funnel recruiting for engineering and product roles by sourcing, engaging, and pipelining candidates across AI/ML, full-stack, backend, infrastructure, and data engineering. Maintain candidate records and outreach activity in Ashby, collaborate with recruiters on priorities, and use AI tools and automation to improve sourcing workflows during a three-month contract.

Own Stay AI’s marketing function end to end, including competitive positioning, product marketing, sales enablement, content, channel strategy, market narrative, pipeline generation, and executive reporting. The role partners closely with sales, product, and the CEO, creates messaging and marketing materials directly, supports product launches, analyzes campaign performance, and presents marketing results to leadership and the board.