Lead architecture and implementation of intelligent business solutions using Microsoft Copilot, AI agents, Dynamics 365 CE and Power Platform, while shaping the future of the CE business within Twoday Business Applications.
Locations (2)
Aarhus, Central Jutland, Denmark
København, Denmark
Responsibilities
Lead architecture and implementation of intelligent business solutions using Microsoft Copilot, Copilot Studio, AI agents and the broader Microsoft ecosystem
Design scalable and integrated solutions across Dynamics 365 Customer Engagement, Dataverse, Power Apps, Power Automate and related technologies
Help define the future direction of the CE business within Twoday Business Applications
Identify opportunities for growth, new capabilities, customer segments and services
Collaborate with sales, consultants and leadership to identify opportunities within existing and new customer relationships
Lead the integration of artificial intelligence and Generative AI capabilities into existing organizational workflows, applications, and business processes.
Locations (3)
Kochi, Kerala, India
Bangalore, Karnataka, India
Visakhapatnam, Andhra Pradesh, India
Responsibilities
Design end-to-end AI and Generative AI solution architectures
Define appropriate architecture patterns for Generative AI, Agentic AI, RAG, Machine Learning, intelligent automation, conversational AI, and AI-enabled enterprise applications
Collaborate with business and technology stakeholders to evaluate AI use cases, identify suitable technologies, assess technical feasibility, and define implementation roadmaps
Translate business requirements, functional requirements, and non-functional requirements into scalable and secure solution architecture designs, architecture diagrams, integration patterns, and technical specifications
Pre‑Sales Solution Architect who designs and validates practical solutions, builds customer confidence, and shapes the HiBob platform and ecosystem.
Compensation
Cash allowance for health insurance - £4,200 yearly
Responsibilities
Build customer confidence and drive revenue
Partner with Account Executives and Sales Engineers to lead technical discovery, uncover business priorities, and guide customers through complex architecture decisions
Design and validate practical solutions, resolve technical blockers, and give implementation teams a clear handoff of agreed designs and requirements
Connect systems, AI, and people context
Design integration solutions across Bob and the wider customer ecosystem using APIs, webhooks, identity services, and automation platforms
Lead technical solution design and support for Google Cloud AI customers, partnering with sales teams to deliver tailored demos, PoCs, and adoption strategies.
Responsibilities
Drive the technical solution for complex workloads within AI product areas to ensure rapid and successful adoption
Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts
Act as a trusted technical advisor and Google Cloud advocate by delivering deep technical consultation to build lasting relationships and traveling to customer sites, conferences, and industry events as required
Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team
Work within Product and Engineering management systems to document, prioritize and drive resolution of customer feature requests and issues
Requirements
Bachelor's degree or equivalent practical experience
Nice to have: LangGraph
Nice to have: Semantic Kernel
Nice to have: Google AI Agent Development Kit (ADK)
A senior technical leadership role focused on designing and building production-grade Generative AI, RAG, and Agentic AI systems while working directly with stakeholders to deliver solutions.
Locations (2)
Hyderabad, Telangana, India
Bangalore, Karnataka, India
Responsibilities
Work directly with business and technical stakeholders to identify high-value AI use cases and convert ambiguous requirements into production-ready solutions.
Design and build Generative AI, Retrieval-Augmented Generation (RAG), Advanced RAG, and Agentic AI applications.
Build single-agent and multi-agent systems with planning, reasoning, tool calling, workflow orchestration, state management, memory, retries, exception handling, and human-in-the-loop approvals.
Develop and integrate Model Context Protocol (MCP) servers and clients to securely connect AI agents with enterprise tools, APIs, data sources, and workflows.
Design, build, test, deploy, and support scalable data pipelines and data products on Azure Databricks.
Responsibilities
Design, build, test, deploy, and support scalable data pipelines and data products on Azure Databricks.
Develop ingestion and transformation processes for data from on-premises, cloud, SaaS, and third-party sources using batch and, where appropriate, streaming patterns.
Use SQL and Python or PySpark to transform, validate, and optimize large and complex datasets.
Design and maintain reusable data structures across raw, refined, and curated layers, applying dimensional modeling and star schema principles where appropriate.
Build reliable Delta Lake solutions and apply Databricks capabilities for orchestration, performance, observability, and data quality.
Requirements
Bachelor’s degree in technology, engineering, computer science, or a related field
Lead the strategy, roadmap, and operations of Telstra’s AI infrastructure services, ensuring sovereign, secure, and resilient AI infrastructure-as-a-service for internal and external stakeholders.
Responsibilities
Set the strategy, roadmap and operating model for Cloud AI Infrastructure Services
Own the AI infrastructure product portfolio across GPUs, accelerators, storage, networking, cloud and self-hosted services
Provide secure, resilient, observable and cost-effective AI infrastructure services
Ensure AI infrastructure meets sovereignty, security, latency, data protection and IP guardrails
Create an AI infrastructure-as-a-service consumption model with APIs, documentation and support
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