Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Lead a hands-on platform engineering function spanning full-stack product development, real-time Kafka and ClickHouse data/ML pipelines, cloud infrastructure, DevOps, security, and reliability. Own React, Node.js, and MongoDB applications; Terraform, Kubernetes, AWS/GCP, Docker, and GitHub Actions; production observability and incident response; and SOC 2 readiness. Establish AI-assisted engineering workflows using tools such as Claude Code and Cursor while replacing vendor-built infrastructure with durable internal automation.

Designs and builds secure, scalable distributed backend systems using Python and AWS. Responsibilities include event-driven architectures, asynchronous processing, cloud data pipelines, serverless applications, REST APIs, performance optimization, authentication, and cloud security. The role requires strong distributed systems, testing, debugging, and backend development expertise, with GenAI, LLM, RAG, and vector database experience preferred.

Lead end-to-end annotation projects: define workflows, coordinate teams (annotators, reviewers, experts), track progress and quality via dashboards, manage launches and phase transitions, pilot tooling and methodology improvements, and build scalable operational systems and documentation to support annotator community and cross-functional alignment.

Write and publish high-quality blog posts and case studies by researching eCommerce/logistics topics and interviewing customers. Propose original content ideas, craft narratives that showcase customer success and Wondys impact, collaborate with the team, use Figma/Framer/HubSpot/Google Workspace for content workflows, and track content performance to improve engagement.

Design, execute, and analyze functional, regression, integration, system, and performance tests for a web-based observability platform. Create test plans and cases, track defects, collaborate with developers and product, improve QA processes, and potentially build/maintain automated tests. Participate in Agile ceremonies and investigate root causes to ensure timely resolution.

Coordinate and approve enterprise deals from quote to cash, including discounts, usage commitments, pricing, payment terms, margin modeling, CRM and CPQ workflows, legal handoffs, and billing. Build pricing guardrails and approval matrices, report on deal metrics, and automate approvals. Partner closely with Sales, Finance, Legal, and company leadership while supporting high-value B2B SaaS transactions.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Build and own conversational voice AI products end-to-end: architect, implement, and deploy the platform. Design infrastructure, develop front-end and back-end systems, deliver reliable customer outcomes, and collaborate directly with the CTO to scale the product for enterprise customers.

Own the full enterprise sales cycle from prospecting through close and account expansion. Build relationships with executive decision-makers, conduct discovery and demos, design solutions, negotiate contracts, and exceed revenue targets. Develop high-value pipelines through outbound prospecting and consultative selling, while partnering with Customer Success, Product, and Integration Solutions. Help refine sales playbooks and go-to-market processes in a fast-growing environment.

Own B2B customer relationships across onboarding, product adoption, reporting, training, and value realization. Drive Stratusphere usage, identify approval and engagement risks, coordinate technical support, and translate customer feedback into product improvements. Manage executive and private-equity reporting, create scalable documentation and playbooks, monitor customer health, and use AI tools to improve customer success operations.