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Lead design and delivery of scalable ServiceNow solutions: customize ITSM, Service Portal, ITOM (Discovery, CMDB, HAM), build integrations (REST, SOAP, MID Server), develop/optimize scripts, run workshops/demos, mentor junior developers, and participate in Agile delivery.

The Principal Consultant leads AI and digital transformation engagements, guides clients in identifying AI opportunities, builds strategies and roadmaps, implements solutions, and develops teams to achieve measurable business outcomes.

The Technical Program Manager leads cross-functional programs in IT hardware integration, coordinating teams and ensuring timely delivery of solutions to clients.

Lead full-stack feature development for an enterprise IT lifecycle platform: design, build, test, and ship end-to-end solutions. Use AI tools to accelerate work while reviewing and hardening outputs. Mentor engineers, run code reviews, collaborate with stakeholders, set estimates and milestones, and influence product and roadmap decisions. Maintain reliability through testing, CI, and containerization.

The Technical Consultant will lead CMDB architecture design, manage ServiceNow Discovery, implement integrations, and support ITSM while ensuring data accuracy and compliance.

The Senior Client Solutions Engineer is responsible for technical presentations, sales support, and maintaining client relationships while driving account strategies and growth.

The AI Sales Specialist will develop sales strategies, engage clients, manage relationships, negotiate contracts, and provide insights on AI technologies to drive business value for enterprise clients.

The Senior AI Engineer will develop and deploy multi-agent systems, automate workflows, integrate enterprise systems, and mentor junior engineers while ensuring quality and security compliance.

The Senior Client Solutions Engineer delivers technical presentations, designs solutions, and aids in sales efforts while maintaining client relationships and leading technical sales campaigns.

The AI Platform Engineer will design and optimize AI/ML infrastructure, automate pipelines, and manage Kubernetes for effective machine learning model deployment and collaboration.