Build and deliver AI-powered solutions that improve commercial workflows, increase access to information and insights, and enable global commercial teams to create stronger customer experiences.
Responsibilities
Build AI agents and solutions based on approved requirements, technical designs, and standards.
Develop prompts, instructions, grounding approaches, actions, and orchestration logic for AI agents.
Create workflows and automations that connect AI capabilities with commercial business processes.
Deliver solutions through short, iterative development cycles while maximizing reuse of existing components and patterns.
Connect AI solutions securely to enterprise data and business systems such as Salesforce, Microsoft 365, and SAP.
Requirements
Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, Artificial Intelligence, or a related technical discipline, or equivalent practical experience.
Senior Consultant – AI Engineering & Digital Solutions with hands-on experience in Azure PaaS, Microsoft Foundry, Python, and React. The candidate will be responsible for developing, integrating, testing, and deploying enterprise applications and AI-powered solutions.
Responsibilities
Develop and deploy cloud-native applications using Azure App Service, Azure Functions, API Management, Azure Storage, Key Vault, and other relevant Azure services.
Build AI-powered applications using LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector search, and AI agents with tool calling.
Develop backend services, REST APIs, and business logic using Python frameworks such as FastAPI, Flask, or Django.
Build responsive web applications and reusable UI components using React, JavaScript/TypeScript, HTML, and CSS.
Integrate React frontends, Python APIs, Microsoft Foundry models, Azure AI services, databases, and enterprise systems.
Requirements
Bachelor’s degree in business, Engineering, Management, or a related field
Nice to have: Azure AI Search
Nice to have: Azure OpenAI
Nice to have: Semantic Kernel / Microsoft Agent Framework
Hands-on Agentic AI Developer with expertise in Microsoft Copilot Studio, Python, Azure, Power Platform and Power Automate to design and build enterprise-grade AI agents and automated business solutions.
Responsibilities
Design, Architect, Build and deploy AI agents and multi-agent solutions using Copilot Studio, Power Platform, Microsoft Foundry
Develop agentic workflows with reasoning, tool/action invocation, human-in-the-loop and exception handling
Build Python/Azure-based services, APIs and custom tools for agents
Implement RAG, enterprise knowledge grounding and LLM-based solutions
Develop Power Automate workflows, Power Apps and Dataverse solutions as required
Requirements
Bachelor’s degree in business, Engineering, Management, or a related field
Looking for a hands-on Agentic AI Developer with expertise in Microsoft Copilot Studio, Python, Azure, Power Platform and Power Automate to design and build enterprise-grade AI agents and automated business solutions.
Responsibilities
Design, Architect, Build and deploy AI agents and multi-agent solutions using Copilot Studio, Power Platform, Microsoft Foundry
Develop agentic workflows with reasoning, tool/action invocation, human-in-the-loop and exception handling
Build Python/Azure-based services, APIs and custom tools for agents
Implement RAG, enterprise knowledge grounding and LLM-based solutions
Develop Power Automate workflows, Power Apps and Dataverse solutions as required
Requirements
Bachelor’s degree in business, Engineering, Management, or a related field
Senior Consultant with full-stack development expertise in Azure PaaS, Python, and React to design, develop, and implement AI-powered cloud applications.
Responsibilities
Design and develop cloud-native applications using Azure PaaS services
Build and deploy Generative AI solutions using Microsoft/Azure AI Foundry
Develop REST APIs, backend services, and AI integrations using Python
Build responsive and modern front-end applications using React
Lead design, development, and delivery of AI-powered cloud solutions leveraging Azure PaaS, Microsoft Foundry, Python, and React for enterprise clients.
Responsibilities
Lead end-to-end delivery of Azure-based AI and digital transformation engagements.
Define solution architectures utilizing Azure PaaS and Microsoft Foundry capabilities.
Drive the implementation of GenAI, Agentic AI, and intelligent automation solutions.
Provide technical leadership to development teams working on Python and React-based applications.
Engage with client stakeholders to understand business challenges and recommend technology solutions.
Requirements
Bachelor’s degree in business, Engineering, Management, or a related field
Nice to have: Azure Certifications such as AZ-305, AI-102, AZ-400
Nice to have: Consulting/System Integration experience
Teach and develop curriculum for an Advanced Diploma in Artificial Intelligence, delivering lectures, tutorials, workshops, and practical sessions, while assessing student progress and maintaining academic records.
Responsibilities
Deliver lectures, tutorials, workshops and practical sessions related to Applied Artificial Intelligence
Teach students fundamental and advanced concepts in AI, machine learning and related technologies
Facilitate hands‑on learning activities, projects and case studies
Guide students in applying AI tools and technologies to solve real‑world problems
Provide academic support and consultation to students
Support Solution Services of the CTO office in the full solution lifecycle by partnering with Business Development, customers, and cross-functional teams to scope, design, demonstrate, and mature complex technical solutions.
Compensation
The anticipated base salary range for this position is $145,000–$165,000 annually and reflects Kentro’s good-faith expectations at the time of posting.
Responsibilities
Collaborate with Business Development under the direction of the Solutions Lead to deliver in-person and virtual sales demonstrations, conduct feasibility assessments, and identify functional requirements through discovery sessions and independent research.
Lead pre-sales scoping, solution design, customer engagement, and the development of demos and prototypes.
Communicate complex solutions to executive, business, and technical audiences.
Leverage AI tools and platforms, including AWS Bedrock, Google Cloud Vertex AI, Microsoft Foundry, GitHub Copilot, OpenAI Codex, Claude Code, and Replit, to rapidly create demos and prototypes that communicate solution capabilities.
Evaluate and incorporate emerging technologies and platforms into demonstrations and prototypes.
Requirements
Bachelor's degree (BA/BS) in Computer Science, Information Systems, Engineering, or a related field
As a senior technical authority, you will lead the most complex Microsoft Data and AI engagements, helping enterprise customers solve critical challenges and accelerate innovation. You will shape technical strategies, establish delivery standards, and develop methodologies that strengthen consulting capabilities across the practice.
Responsibilities
Lead the technical direction and delivery of the firm's most complex Microsoft technology engagements.
Act as the ultimate technical escalation point, resolving highly ambiguous problems and managing the greatest delivery risks across the practice.
Own technical authority during pre-sales activities for major strategic opportunities, including technical scoping and executive-level solution presentations.
Define, improve, and promote technical standards, delivery methodologies, and best practices across consulting teams.
Advise leadership on capability gaps, emerging technologies, practice strategy, and potential technology investments.
Join the Data Science & AI team to define and implement the group's AI vision, develop machine learning, generative AI, and agentic AI, optimizing commercial impact on customer experience and hotel operations.
Responsibilities
Define business needs and AI use cases in partnership with stakeholders (Commercial, Marketing, Distribution, Operations, Brand)
Manage product vision, roadmap, and backlog
Lead internal/external teams of data scientists, AI/GenAI engineers, and MLOps engineers
Drive change management and end-user adoption
Measure usage, ROI, and business impact
Requirements
Master in engineering or data science, computer science, or business school
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