Responsibilities include:

• identifying patterns and capabilities discovered in client deployments
• contributing reusable assets and automation components
• providing product feedback that improves platform capabilities
• helping transform successful client implementations into repeatable platform features
• Client Interaction & Technical Consulting
• Participate in workshops, discovery sessions, and technical working sessions with customers.
• Serve as the engineering counterpart to consulting and delivery teams.
• Communicate architecture, system behavior, and technical tradeoffs clearly to stakeholders.
• Systems Integration & Troubleshooting
• Diagnose and resolve technical issues across AI workflows, integrations, and automation pipelines.
• Ensure deployed AI solutions are secure, scalable, and production-ready.
• Optimize deployed systems for performance and reliability.
• Cross-Team Collaboration

Work closely with:

• Business Process Consultants
• Product Engineering
• Data Engineers
• AI / ML Engineers
• AI Center of Excellence teams
• Contribute to internal playbooks, reusable deployment patterns, and product evolution.

What Success Looks Like (First 6 Months)

• Successfully deploy AI-powered solutions across multiple client engagements.
• Deliver working AI workflows and integrations within customer ServiceNow environments.
• Build trusted relationships with customer teams and internal delivery teams.
• Contribute reusable components and improvements to NewRocket’s AI platforms and accelerators.
• Provide actionable feedback that improves the NewRocket Intelligence Platform and related products.

Required Qualifications

• 5–8+ years of experience in software engineering, systems integration, enterprise platforms, or automation systems.
• Strong engineering foundation with experience in full-stack development, scripting, or enterprise integrations.
• Experience working with AI / LLM technologies or AI-powered applications.
• Experience operating in client-facing engineering or consulting roles.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with languages such as:
  • JavaScript / TypeScript
  • Python
  • or similar scripting languages.
• Strong ability to communicate complex technical concepts to both technical and business stakeholders.

Preferred Qualifications

• ServiceNow Experience (Strong Plus)
• Experience with ServiceNow development or workflow automation platforms.
• Familiarity with ServiceNow scripting, APIs, and platform development patterns.
• Understanding of ServiceNow data models, including:
  • CMDB
  • workflow / task tables
  • knowledge management
  • integrations with enterprise systems.
• AI & Platform Experience
• Experience building AI prototypes, RAG systems, or agent-based workflows.
• Experience integrating LLM APIs or AI services into enterprise systems.
• Experience with vector databases, embeddings, or semantic retrieval.
• Experience contributing to internal platforms, reusable accelerators, or product capabilities.

Why This Role Matters

• Forward Deployed AI Engineers serve as the bridge between real-world enterprise problems and NewRocket’s AI platforms. By working directly with customers, they help deliver immediate value while also shaping the evolution of NewRocket’s AI products, accelerators, and platform capabilities.
• This role is critical to scaling the NewRocket Intelligence Platform and AI Foundry strategy.

Benefits at IntelliBee

• Long-Term Stability: Join us on a multi-year opportunities with room to grow.
• Comprehensive Health Coverage: Access quality healthcare benefits to keep you and your family well.
• Future Planning: Enroll in our 401(k) program and invest in your financial security.
• GC Assistance: We support immediate Green Card processing, if required.

Originally posted on Himalayas