OverviewBe among the first 25 applicants.
Join our globally connected Centre of Excellence, where we pioneer cutting-edge Agentic AI Services and collaborate with teams worldwide to deliver transformative solutions.
As an Agentic AI Solutions Engineer, you\'ll play a central role in designing and scaling intelligent agents that empower enterprises and unlock measurable value.
You'll be part of a high-impact, R&D-driven; team that turns advanced AI concepts into real-world innovations.
Your focus will span research, prototyping, and deployment—bringing intelligent automation to life across diverse industries.
You'll work closely with research and product teams to maintain a robust portfolio of Agentic AI Agents, develop showcase-worthy demos, and push the boundaries of what\'s possible in AI.What You'll Be DoingDesigning, developing, and deploying Agentic AI-powered solutions tailored to client challengesDeveloping and fine-tuning AI models, including LLMs like GPT-4 and open-source alternativesEngineering optimized prompts for accuracy, consistency, and reliabilityPrototyping advanced AI applications with Python and relevant frameworksIntegrating AI tools securely with enterprise systems via API developmentBuilding and maintaining data pipelines for reliable model inputsManaging structured and unstructured data using vector databases and semantic searchScaling AI solutions on Azure, AWS, or GCP for performance and cost-efficiencyImplementing DevOps/MLOps practices for seamless deployment and model lifecycle managementEnsuring regulatory compliance (GDPR, HIPAA) and applying security best practicesMitigating ethical risks and addressing potential AI biasesCollaborating across teams to drive intelligent automation and business impactDocumenting architectures, procedures, and project plans for transparencyContributing to internal AI frameworks and sharing best practicesExploring emerging trends to keep our solutions on the forefront of innovationLeveraging Microsoft Copilot Studio, Azure AI Foundry, and Semantic Kernel for agentic excellenceWhat You'll Bring AlongBachelor\'s or Master\'s in Computer Science, Engineering, Data Science, or similarPreferred: Microsoft certifications in AI Engineering, Data Science, Azure Architecture, Power PlatformRelevant certifications or training in Machine Learning, AI development, Data Analytics, and Cloud Computing (advantageous)Minimum 5–7 years of experience in developing and deploying AI/ML solutions in enterprise contextsHands-on expertise in Python, model fine-tuning, and prompt engineeringSolid foundation in secure, scalable API and cloud integrationsSuccess delivering high-impact AI pilots and production systemsFamiliarity with agile project delivery and client-facing engagementsDeep expertise in AI, NLP, and machine learningProven track record with LLMs/SLMs such as GPT series and open-source alternativesStrong background in prompt engineering and model optimizationAdvanced Python skills for prototyping and integrationBonus skills in JavaScript/TypeScript, Java, or C# for broader development integrationExperience building APIs and connecting with enterprise platforms (ERP, CRM, etc.)Familiarity with full-stack development and UX considerationsSolid understanding of data engineering, vector databases, and semantic searchProficiency in cloud platforms (Azure, AWS, GCP) for AI workload deploymentPractical implementation of DevOps/MLOps methodologiesExperience using Copilot Studio, Azure AI Foundry, and Semantic Kernel (highly desirable)Awareness of AI security, ethics, and regulatory requirementsBusiness acumen to translate strategy into technical innovationClear communication and stakeholder engagement skillsStrong analytical thinking, attention to detail, and project management chopsPassion for learning and staying ahead in the ever-evolving AI landscapeExcellent command of both spoken and written EnglishSeniority levelAssociateEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustries: IT Services and IT Consulting
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