Jobs at Temus

Designs, configures, develops, and implements ServiceNow solutions, primarily across Customer Service Management and Field Service Management. Responsibilities include scripting, workflow development, system integrations, requirements gathering, client workshops, platform upgrades, testing, audits, and user support. The consultant will also contribute to other ServiceNow modules and ensure adherence to platform best practices and coding standards.

Develop and deploy AI solutions for public- and private-sector clients while supporting AI governance, data protection, fairness, and transparency. Apply machine learning across NLP, computer vision, recommendation systems, reinforcement learning, and forecasting. Build end-to-end AI systems using modern cloud, MLOps, software engineering, and infrastructure tools. Collaborate with clients, colleagues, and partners, continuously expand technical expertise, and contribute to transformative digital initiatives.

Supports client project teams with regression testing, UAT, and other quality assurance activities. Assists with documenting requirements, scope, risks, and issues; coordinates meetings and follow-ups; communicates with stakeholders; and monitors compliance with project standards and deliverables. The intern should demonstrate attention to detail, teamwork, communication, self-motivation, curiosity about business and technology, and the ability to work effectively in a fast-paced environment.

Supports client project teams with manual testing, user acceptance testing, project planning, requirements documentation, stakeholder communication, action-item follow-up, and quality assurance. The intern gains exposure to the software development lifecycle while assisting with project timelines, budgets, resource allocation, risks, issues, and deliverables.

Develop and support software solutions using Java and Newgen platforms, including NewgenONE, iBPS, Omnidocs, and RMS. Responsibilities include coding, integrations, peer reviews, testing, technical documentation, project reporting, client collaboration, and issue resolution across the software development lifecycle. The role works within small technical teams and contributes to fixed-price and time-and-material projects under senior guidance.

Senior Business Analyst responsible for uncovering business challenges, translating them into actionable requirements, designing user-focused solutions, defining acceptance criteria, managing scope, facilitating workshops, and communicating with executives and technical teams. The role supports requirements gathering, configuration and development, system and user acceptance testing, training, go-live, and application support while driving user adoption in complex enterprise environments.

Leads day-to-day IT infrastructure, cloud, networking, device support, ITSM, vendor management, and technical escalations. Manages GCP, firewalls, enterprise networks, assets, security practices, documentation, and team development. Also owns AI governance, strategy, risk controls, staff enablement, and the design and deployment of IT and business AI agents using cloud and enterprise productivity platforms.

Develop and operate innovation sandbox environments, including governance, onboarding, access controls, compliance, monitoring, troubleshooting, resource optimization, and chargeback validation. Build reusable innovation frameworks, self-service platforms, APIs, cloud environments, development toolkits, and shared services. Develop application-level solutions with TypeScript, Python, or JavaScript while advising stakeholders on platform capabilities, governance, and adoption.

Lead a team of low-code developers in architecting, developing, and delivering scalable OutSystems web and mobile applications. Provide technical leadership, remain hands-on, resolve end-to-end technical issues, manage customer discussions, and design robust solutions integrating hardware, networks, and third-party software.

Lead client-facing product management for digital transformation initiatives. Research existing workflows, map service journeys and blueprints, identify pain points, prioritize roadmaps, write requirements and success metrics, and coordinate discovery and delivery with design and engineering. Present recommendations to stakeholders, manage trade-offs, measure adoption and impact, and iteratively improve products and services.

Build and maintain end-to-end full-stack applications and cloud infrastructure incorporating AI and GenAI workloads. Integrate LLMs, RAG, AI agents, and agentic workflows into user-facing products. Design APIs, databases, CI/CD pipelines, containerized deployments, and infrastructure as code across major cloud platforms. Support secure, reliable, observable systems while serving as a technical contact for clients and operations teams and producing technical documentation.

Develops enterprise architectures, technology roadmaps, and scalable cloud solution designs aligned with business requirements. Evaluates technologies, establishes architecture standards, manages design and delivery risks, and promotes secure, compliant, and consistent solutions. The role requires extensive experience across AWS, Azure, GCP, modernization, microservices, integration, CI/CD, SRE, data and AI, IoT, security, and infrastructure as code, with strong stakeholder collaboration and public-sector project experience.

Lead end-to-end digital transformation engagements, including problem framing, solution design, prototyping, agile delivery, stakeholder engagement, organizational change, and adoption. The role focuses on applying AI to reshape business models, workflows, workforce design, governance, and operating structures. Responsibilities include facilitating workshops, defining measurable outcomes, translating business needs into delivery plans, guiding responsible AI adoption, developing reusable consulting assets, and coaching junior colleagues.

Define the vision, strategy, roadmap, and commercialization of AI-enabled products. Identify high-value AI opportunities, translate business needs into product requirements and business cases, and guide solutions from concept through deployment and adoption. Partner with engineering, architecture, delivery, sales, clients, and senior stakeholders while monitoring business outcomes, product adoption, and value realization. Stay current with generative AI, agentic AI, intelligent automation, and enterprise technology.

Analyze client business challenges, elicit and document requirements, evaluate system and data product capabilities, recommend solutions, and support testing, implementation, training, go-live, and application support. The role also contributes to business analysis planning, governance deliverables, stakeholder communications, risk and issue tracking, and coordination between business and technology teams.

Supports PMO and project delivery by tracking progress, KPIs, risks, issues, milestones, and outcomes. Coordinates stakeholders, produces status reports, supports governance, and drives continuous improvement across projects. The role requires program management, analytical, communication, negotiation, and problem-solving skills, with occasional weekend go-live and extended-hours support.

Drive end-to-end digital transformation programmes by framing client problems, designing and prototyping solutions, translating needs into delivery plans, supporting agile execution, and enabling adoption. The role involves AI-enabled workflows, operating model and organisational change, stakeholder facilitation, responsible AI governance, capability building, and coaching across business and technology teams.

Design, build, automate, and operate secure, scalable cloud platforms across AWS, Azure, or GCP. Develop Infrastructure as Code, Kubernetes platforms, CI/CD pipelines, automation, cloud networking, security controls, monitoring, and reliability solutions. Troubleshoot incidents, optimize performance and costs, integrate testing and security scanning, and guide development teams on DevOps practices. Collaborate with architects, engineers, security teams, and clients to deliver resilient cloud-native environments.

Leads end-to-end digital transformation engagements, framing ambiguous problems, designing AI-enabled solutions, managing delivery, driving organizational adoption, and advising senior stakeholders. Oversees cross-functional teams, workshops, prototyping, agile delivery, change strategies, responsible AI practices, and capability building. Coaches junior consultants and develops reusable delivery playbooks. Requires strong consulting, transformation, operating model, stakeholder management, AI fluency, and structured problem-solving experience.

Lead the design and production delivery of enterprise AI solutions, combining hands-on AI engineering with technical architecture and multidisciplinary team leadership. The role covers LLMs, agentic tooling, cloud-native AI platforms, software architecture, data engineering, DevOps, responsible AI, and stakeholder collaboration across enterprise and public-sector environments.