AI / ML Engineer

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 Doing Designing, developing, and deploying Agentic AI-powered solutions tailored to client challenges

Developing and fine-tuning AI models, including LLMs like GPT-4 and open-source alternatives

Engineering optimized prompts for accuracy, consistency, and reliability

Prototyping advanced AI applications with Python and relevant frameworks

Integrating AI tools securely with enterprise systems via API development

Building and maintaining data pipelines for reliable model inputs

Managing structured and unstructured data using vector databases and semantic search

Scaling AI solutions on Azure, AWS, or GCP for performance and cost-efficiency

Implementing DevOps / MLOps practices for seamless deployment and model lifecycle management

Ensuring regulatory compliance (GDPR, HIPAA) and applying security best practices

Mitigating ethical risks and addressing potential AI biases

Collaborating across teams to drive intelligent automation and business impact

Documenting architectures, procedures, and project plans for transparency

Contributing to internal AI frameworks and sharing best practices

Exploring emerging trends to keep our solutions on the forefront of innovation

Leveraging Microsoft Copilot Studio, Azure AI Foundry, and Semantic Kernel for agentic excellence

What You’ll Bring Along Bachelor\'s or Master\'s in Computer Science, Engineering, Data Science, or similar

Preferred : Microsoft certifications in AI Engineering, Data Science, Azure Architecture, Power Platform

Relevant 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 contexts

Hands-on expertise in Python, model fine-tuning, and prompt engineering

Solid foundation in secure, scalable API and cloud integrations

Success delivering high-impact AI pilots and production systems

Familiarity with agile project delivery and client-facing engagements

Deep expertise in AI, NLP, and machine learning

Proven track record with LLMs / SLMs such as GPT series and open-source alternatives

Strong background in prompt engineering and model optimization

Advanced Python skills for prototyping and integration

Bonus skills in JavaScript / TypeScript, Java, or C# for broader development integration

Experience building APIs and connecting with enterprise platforms (ERP, CRM, etc.)

Familiarity with full-stack development and UX considerations

Solid understanding of data engineering, vector databases, and semantic search

Proficiency in cloud platforms (Azure, AWS, GCP) for AI workload deployment

Practical implementation of DevOps / MLOps methodologies

Experience using Copilot Studio, Azure AI Foundry, and Semantic Kernel (highly desirable)

Awareness of AI security, ethics, and regulatory requirements

Business acumen to translate strategy into technical innovation

Clear communication and stakeholder engagement skills

Strong analytical thinking, attention to detail, and project management chops

Passion for learning and staying ahead in the ever-evolving AI landscape

Excellent command of both spoken and written English

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