Top Tech Jobs & Startup Jobs

As an SAP SD/CX Consultant, you will support SAP Sales and CX solutions, gather requirements, develop solutions, and provide business support.

Lead and own enterprise AI platform deployments embedded with clients, delivering time-to-value, reliability, adoption, and scalability. Architect and govern end-to-end AI solutions, run rapid experiments to production, shape strategy and ROI roadmaps for C-level stakeholders, publish reusable blueprints, and manage engineering teams to scale Forward Deployed Engineering capabilities.

The Oracle Cloud PPM Specialist will lead teams in delivering Oracle Cloud PPM solutions, strengthen leadership skills, and build client relationships while collaborating with functional and technical specialists.

Design, build, and deploy scalable AI/ML solutions (including deep learning, generative AI, and LLMs). Develop models, data pipelines, and MLOps/DevOps for training and production, work with large-scale datasets and HPC/edge environments, perform R&D, and collaborate with business and technical stakeholders to deliver production-ready systems.

Design, build, and deploy production-grade agentic AI systems: multi-agent orchestration, RAG pipelines, LLM provider integration, LLMOps (eval harnesses, prompt versioning, observability), and reusable patterns. Work embedded with client engineering teams, lead technical design sessions, measure agent accuracy/latency/safety/cost, and scale solutions across enterprise stacks.

Embed with client teams to deploy, scale, and operationalize enterprise AI platforms end-to-end. Drive production outcomes (time-to-value, reliability, adoption, scalability), design enterprise AI architectures, build reusable patterns, lead workshops and prototypes, and translate technical solutions into quantifiable business impact for senior stakeholders.

As a Workday HCM Lead, you will implement cloud-based HR solutions, lead workshops, collaborate with clients, and support innovation in Workday projects.

Embed with client teams to deploy and scale AI platforms end-to-end, focusing on time-to-value, reliability, adoption, and scalability. Design enterprise AI architectures, prototype rapidly, lead workshops, quantify business impact, and build reusable playbooks and governance.

Lead and manage enterprise AI platform deployments embedded within client organizations, owning programme-level outcomes (time-to-value, reliability, adoption, scalability). Architect, govern, and integrate AI solutions across identity, data, security, and workflows; drive rapid experimentation to production; shape strategy and ROI roadmaps for C-suite; publish reusable blueprints and mentor engineering teams.

Lead and manage enterprise AI platform deployments embedded with client teams, owning program-level outcomes (time-to-value, reliability, adoption, scalability). Architect and govern end-to-end AI solutions, drive rapid experimentation to production, shape reinvention strategy for C-suite, publish reusable blueprints, and develop and manage a team of forward deployed engineers.