Top AI & Machine Learning Jobs

Build cloud-based AI and machine learning solutions for intelligent enterprise services. Collaborate with developers, product managers, and quality engineers to design, implement, test, and deliver scalable software. Apply advanced algorithms, object-oriented programming, efficient coding practices, unit testing, profiling, and code tuning to create user-friendly AI/ML products for enterprise customers.

Lead complex enterprise AI deployments and go-live support engagements for strategic customers. Own and evolve deployment playbooks, build shared tooling, establish quality standards, mentor engineers, document reusable implementation patterns, and partner with product and engineering teams to improve solutions. The role requires hands-on software engineering, production AI and GenAI integration, prompt engineering, executive-level customer communication, and business-level Japanese proficiency.

Lead AI transformation engagements for ServiceNow customers by developing AI roadmaps, business cases, governance frameworks, adoption plans, and value-realization strategies. Advise CIOs and executive stakeholders on agentic AI, autonomous execution, compliance, and organizational change. Partner with AI Architects on solution strategy, support presales activity, create reusable advisory assets, and drive measurable AI adoption and business outcomes.

Build and deploy production-grade, LLM-enabled applications spanning backend services, data orchestration, vector databases, and front-end interfaces. Work directly with strategic customers in agile sprints, integrate legacy systems, create reusable AI libraries and scaffolds, and influence platform strategy. Diagnose distributed-system performance, implement observability, and deliver secure, scalable solutions across enterprise environments. The role requires extensive software engineering experience, customer-facing delivery, AI architecture expertise, and travel up to 30%.

Design, develop, and deploy scalable Voice AI platforms and distributed systems across regions and datacenters. Build audio acquisition, conversation management, speech generation, model integrations, and voice harness capabilities. Partner with product managers and customers, improve SRE tooling, enforce software engineering best practices, and mentor engineering colleagues. The role requires extensive experience with LLM applications, AI agents, programming, Kubernetes, and highly available workloads.

Design, develop, and operate scalable Voice AI platforms, including audio acquisition, conversation management, speech generation, model integrations, and voice harnesses. Build distributed systems across regions and datacenters, develop LLM-based applications and agents, improve SRE tooling, enforce software engineering practices, collaborate with customers and product managers, and mentor engineering colleagues.

Leads customer-facing design, deployment, and operation of agentic AI solutions on the ServiceNow platform. Defines reusable architectures, integration patterns, guardrails, verification, monitoring, and rollback practices. Advises customer technical and executive stakeholders, mentors engineers, sets technical standards across engagements, and feeds field insights into product and engineering. Requires extensive forward-deployed or solution-architecture experience, production AI expertise, strong system design, security and reliability judgment, communication skills, and technical leadership.

Design, build, and operate AI-native enterprise applications for regulated industries. Develop agentic workflows, prompts, tool integrations, conversational experiences, evaluation frameworks, safety controls, and scalable distributed systems. Work directly with customers, troubleshoot production behavior, mentor engineers, influence architecture, and lead complex cross-team initiatives. Translate business and regulatory needs into reliable technical solutions while managing AI quality, security, performance, cost, and operational risks.

Leads pre-sales AI solution architecture for enterprise customers, addressing business and technical challenges with ServiceNow AI products. Responsibilities include customer engagement, demonstrations, proof-of-concepts, value-based selling, sales support, technical presentations, marketing events, product training, and solution development. The role requires expertise in generative AI, deep learning, LLMs, cloud AI platforms, data stores, and AI-driven automation, with travel up to 50% of the time.

Design, develop, and operate scalable VoIP infrastructure and telephony platforms supporting AI-driven voice workloads. Integrate SIP/RTP, Kamailio, RTPEngine, PSTN systems, LLMs, and real-time communication technologies. Build reliable cloud-native distributed systems on Kubernetes, improve SRE and observability practices, automate deployments, develop software tooling, and maintain high-quality code. Collaborate across engineering, product, infrastructure, and AI teams while mentoring colleagues.