Design, build and integrate AI agents and LLM-based applications into complex, existing system landscapes, develop cloud backends, evaluate new technologies and document solutions.
Compensation
Salary Package based on your previous experience and qualifications, reviewed annually as part of our Performance and Progression process, along with an individual learning and development budget to support your growth
Responsibilities
Design and integrate AI agents and LLM-based applications
Adapt existing systems for AI integration
Develop and run cloud backends
Evaluate new technologies and implement solutions
Document architectures, integrations and findings
Requirements
University degree in Computer Science, Data Science, Information Systems or a similar field
Garant de la conformité technique des solutions d’IA générative et des plateformes agentiques, en accompagnant les équipes opérationnelles dans la réalisation et l’exploitation de solutions notamment pour le SOC.
Responsibilities
Conduire les études R&D et réaliser des PoC.
Éprouver les choix d’architecture ou lever un risque, par exemple sur le triage d’alertes SOC, l’enrichissement CTI ou les accès des agents à leurs outils.
Contribuer à la réalisation et apporter de l’expertise sur nos solutions techniques IA.
Accompagner et former les équipes opérationnelles dans la mise en œuvre des solutions d’IA.
Apporter une expertise sur l’intégration des composants et contribuer à la résolution des difficultés techniques rencontrées.
Owns the consumer side of Rimini Street’s Agentic ERP Platform observability and audit infrastructure, building dashboards, audit tooling, and compliance evidence for auditors and client teams.
Locations (3)
Selangor, Malaysia
Penang, Malaysia
Malaysia
Compensation
We hire only the best, the most extraordinary professionals and provide compensation, bonuses, and benefits to match the skills of our top-performing team members.
Responsibilities
Operate dual-stream audit logging architecture
Build audit query tooling
Produce SOX-grade compliance evidence packages
Implement and maintain audit log retention and immutability
Support Indemnification Control Owner with integrated audit reports
Requirements
Ingénieur IA générative et plateformes agentiques (F/H)
AI and ML architect for Commercial Content Supply Chain focusing on the strategic design and implementation of advanced AI solutions to create a cutting-edge, AI-enabled content supply chain.
Compensation
Competitive salary based on the employment contract (Umowa o pracę). Annual bonus payment based on your performance.
Responsibilities
Design solutions that meet product requirements, business priorities, and enterprise standards within a specific Solution Context.
Manage Non-Functional Requirements (NFR) and fitness functions.
Document and evolve the architecture throughout the product life cycle and align with the architecture community for governance.
Design and refine multi-agent pipelines (using AWS building blocks, Bedrock AgentCore, and orchestration frameworks like LangGraph or Strands).
Partner with upstream data teams to turn complex models into high-performance, application-ready read interfaces and semantic caching layers.
Founding AI Engineer to architect, build, and scale production-grade autonomous AI agents capable of executing complex, multi-step real-world tasks. The role involves ownership of the end-to-end Agentic AI infrastructure.
Locations (3)
Delhi, Delhi, India
Gurugram, Haryana, India
Noida, Uttar Pradesh, India
Compensation
Rs 3000000 - Rs 9000000 (ie INR 30 - 90 LPA)
Responsibilities
Design, develop, and deploy production-grade LLM agents capable of executing complex, multi-step tasks.
A Technical Product Manager role focused on ensuring Medley’s AI-powered instructional scaffolds meet high standards for quality and user experience. The role sits at the intersection of pedagogy and AI product work.
Responsibilities
Define what 'excellent' looks like by translating research-based practice in literacy, special education, and multilingual learner instruction into clear quality standards.
Track and monitor quality with a robust evals system, building and maintaining datasets, rubrics, and eval suites.
Conduct regular error analysis and trace review using human labeling, LLM-as-judge, and rule-based evals.
Refine prompts and models; write, test, and run model comparisons and regression tests.
Review signals from educators, data from support tickets, and product analytics to inform product decisions.
A leadership-level engineering role focused on the reliability, performance, and operational integrity of high-visibility ServiceNow platforms, specifically integrating applied AI and agentic workloads.
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $208,300.
Responsibilities
Embrace a culture of accountability for reliability, performance, and cost outcomes measured in SLOs and error budgets
Serve as technical advocate for production reliability and operability
Set production standards and lead design of observability, performance, resilience testing, and operational tooling
Maintain accountability for operational integrity of production and pre-production environments
Build and operate production observability (dashboards, SLO-driven alerting)
Requirements
Bachelor’s degree in computer science
software engineering
data science
machine learning
Nice to have: ServiceNow Certified System Administrator (CSA)
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