• Deploy and configure agentic AI workflows and AI-powered automations within client ServiceNow environments. • Translate customer business requirements into technical architectures and implementation plans. • Implement and integrate NewRocket Agent Packs and AI solutions into enterprise environments. • Work directly with customers to tailor AI solutions to their operational workflows and business processes. • Build demos, prototypes, and proof-of-concept implementations to validate AI-driven workflows with clients. • Rapidly iterate solutions with customers to refine AI-powered use cases. • Support implementation of AI orchestration, LLM integrations, and agentic decision models. • Develop integrations between ServiceNow, enterprise systems, APIs, and AI services. • Build supporting components such as scripts, microservices, automation logic, and integration services. • Implement integrations with AI platforms, APIs, and enterprise data sources. • Actively contribute to the development and evolution of NewRocket’s AI intellectual property and platforms.

• Lead a cross-functional engineering team, driving technical direction, delivery quality, and platform evolution. • Take ownership of the design, development, deployment, and maintenance of full-stack applications and services. • Work closely with Product teams to shape requirements, influence the roadmap, and align technical solutions with business objectives. • Evaluate, prototype, and implement AI-powered capabilities, including LLM-based features, intelligent automation, and AI-enhanced workflows. • Provide technical leadership through architecture reviews, code reviews, and engineering best practices. • Design and build scalable, secure, resilient, and observable cloud-based solutions. • Champion automated testing, quality assurance, and engineering standards across the development lifecycle. • Build, maintain, and improve CI/CD pipelines to support reliable and efficient software delivery. • Communicate technical designs, risks, and progress effectively to both technical and non-technical stakeholders. • Mentor and support engineers, helping to develop technical capability across the team. • Promote a culture of collaboration, continuous improvement, and engineering excellence. • Support recruitment, onboarding, and development of engineering talent. • Maintain clear technical documentation to support knowledge sharing and long-term maintainability.

Role Description The AI Forward Deployed Engineer works at the intersection of AI, engineering, and business, partnering closely with stakeholders to identify use cases, build prototypes, and deliver production-grade AI solutions. This role requires hands-on experience with: - LLMs - Cloud platforms - APIs - Enterprise system integration Additionally, strong problem-solving and communication skills are essential. Qualifications - Hands-on experience with AI technologies - Experience in engineering and business collaboration - Strong problem-solving skills - Excellent communication skills Requirements - Experience with LLMs - Familiarity with cloud platforms - Knowledge of APIs - Experience in enterprise system integration Benefits - Inclusive workplace culture - Opportunities for growth and development - Commitment to well-being

• Act as the technical first line of defense across our Dashboards, Agents, and cloud infrastructure. • Proactively hunt down root causes by investigating system logs, reviewing changes, and isolating deployment errors. • Spearhead the end-to-end network installations, system configurations, and ongoing technical health for both new and existing clients. • Serve as the trusted technical liaison, translating complex backend realities into clear, actionable insights. • Partner tightly with our R&D team, navigating timezone overlaps to coordinate critical off-hours escalations seamlessly. • Embrace a fearless, hands-on approach to problem-solving, navigating databases to investigate and resolve complex system behaviors.