Top Senior Machine Learning Jobs in Raleigh, NC

Drive MSSP partner growth across AMER by recruiting, onboarding, activating, and expanding strategic managed security service provider relationships. Develop territory recruitment plans, executive partnerships, joint business plans, and indirect routes to market. Help partners launch managed security services, generate pipeline, increase revenue, and accelerate time-to-revenue. Collaborate with sales, channel, marketing, services, and technical teams while managing forecasts, opportunities, executive reviews, and revenue objectives.

Leads Gilead’s enterprise Applied AI strategy for clinical development and operations. Owns the multi-year AI roadmap, predictive enrollment modeling, trial design optimization, site feasibility, real-world data integration, governance, value measurement, and scaled adoption. Builds and manages a cross-functional center of excellence spanning data science, ML engineering, GenAI, and delivery management. Partners across clinical, regulatory, technology, and commercial functions while overseeing budgets, change management, external partnerships, compliance, and organizational talent development.

Own and grow a Southeast or Mid-Atlantic commercial territory targeting companies with 500–2,500 employees. Responsibilities include prospecting, pipeline development, new business acquisition, upselling and cross-selling, multi-product deal closure, forecasting, territory management, executive presentations, negotiation, industry events, and collaboration with internal and channel teams. The role requires communicating cybersecurity and identity-access solutions to business leaders while consistently achieving sales quotas.

Develop and deliver software features, technical designs, secure code, automated tests, and release improvements. Integrate AI capabilities, CI/CD testing, and cloud technologies while troubleshooting production issues and improving reliability, scale, performance, and engineering velocity. Coordinate with cross-functional teams, participate in on-call rotations and postmortems, review code, share technical knowledge, and mentor peers or interns.

Lead AI-driven localization product initiatives from concept through production. Build strategic roadmaps, incubate machine-learning capabilities, partner with researchers and engineers, and deliver scalable tools for creators and content operations. Translate user needs into impactful products, communicate strategy to executives and nontechnical stakeholders, and use data, experimentation, and ML evaluation to prioritize work and measure outcomes.

Designs, builds, scales, and operates distributed CI/CD services supporting millions of builds, tests, and releases. Develops code for Azure-based infrastructure spanning virtual machines, containers, and custom lab environments. Responsibilities include requirements analysis, architecture and design documentation, estimation, debugging, optimization, operational playbooks, on-call incident response, monitoring, reliability improvements, and mentoring engineers.

Owns AI operations measurement, impact reporting, optimization, vendor partnerships, and governance. The role develops KPI frameworks and dashboards, connects AI performance to business outcomes, improves cost, latency, and accuracy, manages SaaS/API AI vendors, and establishes compliance and risk workflows. It requires influencing technical direction across teams, mentoring engineers, and communicating evidence-backed results to executives, customers, partners, and technical stakeholders.

Architect and operate North’s AWS and multi-cloud infrastructure, establishing IaC, CI/CD, security, observability, and disaster-recovery standards. Build AIOps capabilities including anomaly detection, predictive scaling, self-healing remediation, AI-assisted tooling, and cloud cost optimization. Collaborate with DevOps, SRE, Product Engineering, and InfoSec teams to deliver resilient, compliant, highly scalable platforms.

Lead global sales enablement strategy and programs to drive revenue, product adoption, and GTM readiness. Oversee product-aligned enablement teams, launch readiness, content and demo strategy, CRM and tool adoption, measurement frameworks linking enablement to outcomes, and integration of AI into enablement.

The Business Development Director will lead strategic engagement with Oracle Cloud Infrastructure, focusing on alliance strategies, go-to-market execution, and revenue growth through innovative cloud solutions.

Pre-sales technical role: demonstrate Kore.ai platform, architect and whiteboard solutions, run use-case workshops, estimate ML effort, collaborate with product and delivery teams, and support sales to close enterprise AI and contact-center deals.

Own the end-to-end product direction and quality of an AI email application. Define AI and system requirements, translate model capabilities into product decisions, balance quality, cost, latency, reliability, safety, and user experience, and partner with ML, backend, and client engineers. Establish evaluation frameworks, quality standards, feedback loops, and failure recovery strategies while driving prioritization, execution, experimentation, and user trust in a zero-to-one environment.

Own the end-to-end product direction and quality of an AI-powered email application. Define AI and system requirements, evaluation frameworks, quality standards, and measurable outcomes. Partner closely with ML, backend, and client engineering teams to make trade-offs across quality, latency, cost, reliability, safety, and user experience. Drive prioritization, specifications, experimentation, failure-mode mitigation, and continuous iteration in a technical zero-to-one environment.

Lead sales operations for seller acquisition at a marketplace: design pipeline and lead flows, remove onboarding friction, build SOT dashboards and forecasts, track listing health and KPIs, design incentive and quota programs, own CRM and sales enablement, and implement AI-driven automation and predictive analytics to scale seller and listing growth.

Own the end-to-end lead management lifecycle, including capture, enrichment, qualification, scoring, routing, sales handoff, disposition, and recycling. Establish governance, business rules, SLAs, controls, and performance metrics; optimize workflows and integrations; resolve data quality and lead-flow issues; and partner with Sales, Marketing, Data Science, IT, and Analytics. Manage and develop a small team while overseeing operational priorities, testing, documentation, and continuous improvement.

Lead hands-on engineering for an AI-powered email application across backend, mobile, and desktop platforms. Design reliable AI workflows involving orchestration, state, tool use, retries, fallbacks, and failure handling. Define APIs and abstractions, make architecture and scalability decisions, improve observability and reliability, and lead a small team of senior engineers through technical reviews, mentorship, and production delivery.

Lead net-new enterprise sales into Fortune 500 and large mid-market accounts building AI/ML systems. Prospect and create outbound pipeline, run long consultative sales cycles, orchestrate pilots and phased rollouts, influence technical and executive stakeholders, and partner with solution architects to close complex, high-value deals.

Lead the technical side of enterprise sales for autonomous systems and physical AI customers. Own discovery, architecture reviews, demonstrations, proofs of concept, evaluations, deployments, and expansions. Translate customer workflows into solutions, address technical objections, and collaborate with Product and Engineering. Build scalable sales engineering processes, technical content, evaluation frameworks, and operating models while supporting strategic automotive OEM and enterprise opportunities.

Lead product strategy, requirements, roadmap, and AI capabilities for Honeywell Forge cloud applications serving utilities. Conduct customer and competitive discovery, translate utility workflows into product investments, define commercial opportunities, and partner with engineering to prioritize and deliver cloud-native B2B software. The role focuses on AI for grid operations, DER management, rate design, and utility program performance while ensuring measurable operational value.

Coordinate the CMM Data Modernization and Governance Program across workstreams, technical teams, stakeholders, and government organizations. Maintain schedules, sprint boards, deliverable trackers, risks, dependencies, documentation, training records, and compliance activities. Support status reporting, meetings, technical reviews, audits, budget tracking, resource updates, change requests, executive communications, and customer training while ensuring deliverables meet contractual and quality requirements.

Lead Agile delivery for a data modernization and governance program. Coach Scrum teams and Product Owners, facilitate ceremonies, manage JIRA boards, coordinate dependencies, mitigate risks, maintain RAID logs, and provide transparent reporting to stakeholders and senior leadership. Support SAFe implementation, backlog prioritization, release planning, continuous improvement, and delivery of data engineering, analytics, AI/ML, and cloud capabilities.

Own the global consumer engagement and personalization domain across digital channels. Assess current capabilities, define multi-year strategy and roadmap, recommend personalization infrastructure investments, and translate priorities into shipped products. Partner with engineering, data science, design, marketing, legal, and regional teams to deliver scalable experiences. Establish metrics, run cross-market experiments, optimize performance, and make global versus localized decisions. Influence executives, mentor product managers, and apply AI, identity resolution, and generative AI to personalization.

Deploys and optimizes enterprise infrastructure across on-premises systems, networks, AWS, Azure, and Microsoft 365. Engineers Terraform automation, Intune endpoint management, AI initiatives, SaaS integrations, SSO, and IT service workflows. Designs and maintains cybersecurity architecture, Zero Trust controls, security baselines, monitoring, and compliance controls aligned with CIS, NIST, and SOC 2. Provides advanced troubleshooting, technical support, VoIP administration, vendor coordination, and root-cause remediation.

Manage the AI opportunity roadmap for Risk Services, prioritizing use cases, coordinating internal data science teams and external vendors, translating business needs into requirements, and supporting AI governance, compliance, explainability, auditability, implementation, adoption, and benefits realization. The role focuses on business outcomes and solution delivery rather than hands-on model development.

Designs, develops, deploys, maintains, and optimizes ETL processes and cloud-based system integrations for healthcare data warehousing and business intelligence. Works with DHA and Cerner inpatient and outpatient data, develops database procedures, validates migrations, performs data mapping and modeling, and supports data science and machine learning teams. The role also documents processes, tunes performance, captures client requirements, and manages data transformation initiatives.