Description & Requirements
Who we are looking for
We are seeking an AI Specialist with strong expertise in Generative AI, Agentic AI, machine learning, and cloud-native engineering to design, develop, deploy, and continuously improve intelligent solutions that address real business needs.
The role combines hands-on AI engineering, data and model pipeline development, agentic workflow orchestration, responsible AI controls, and close collaboration with product owners, technical teams, and business stakeholders across the full solution lifecycle.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, Artificial Intelligence, or a related field; an advanced degree is preferred.
- Minimum of 5 years of experience in data engineering, artificial intelligence development, machine learning engineering, or cloud-native software engineering.
- Proven experience designing, developing, and deploying AI agents, machine learning models, data pipelines, or end-to-end AI solutions in production environments.
- Hands-on experience with Python and relevant AI, machine learning, and data engineering libraries such as NumPy, Pandas, PyTorch, TensorFlow, or scikit-learn.
- Experience with Generative AI and large language model solutions, including prompt engineering, retrieval-augmented generation, tool calling, evaluation, and model performance optimization.
- Experience with agentic AI frameworks, workflow orchestration, API integration, memory patterns, and multi-step automation; knowledge of agent-to-agent communication patterns is an advantage.
- Experience building REST APIs, cloud-native microservices, and integration solutions using technologies such as Java, Spring Boot, SOAP, REST, and JSON.
- Good understanding of Docker, Kubernetes, CI/CD tools, GitHub, Jenkins, and release management practices.
- Experience with at least one major cloud platform, such as Azure, AWS, or Google Cloud Platform, including AI, machine learning, data, and security services. Being certified is considered a plus.
- Knowledge of responsible AI, data privacy, cloud security, model governance, testing, observability, and production support practices.
- Nice to have: experience using Cursor or similar AI-assisted development environments, and working with MCP servers for tool integration, context sharing, or agentic workflow enablement.
- Proficiency in written and spoken English.
Your future role
- Design, develop, and integrate AI solutions, including Generative AI models, large language models, multimodal models, machine learning models, and advanced analytics capabilities.
- Build and orchestrate agentic AI workflows, including single-agent and multi-agent patterns, tool use, memory, retrieval-augmented generation, and workflow automation.
- Translate business requirements into technical solutions by working closely with product owners, business units, engineers, data scientists, and client stakeholders.
- Develop scalable AI and data pipelines, including data preprocessing, feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.
- Implement AI-enabled automation for use cases such as document processing, case summarization, content generation, decision support, and workflow orchestration.
- Deploy and operate AI services in cloud-native or containerized environments, including Azure, AWS, Google Cloud Platform, Docker, Kubernetes, and CI/CD-enabled platforms.
- Ensure responsible and secure AI delivery by applying privacy, security, compliance, prompt injection defense, data protection, PII redaction, testing, and model governance practices.
- Monitor, troubleshoot, and optimize AI applications using observability, performance monitoring, incident management, defect resolution, and production support processes.
- Support the full development lifecycle, including prototyping, functional and non-functional testing, release preparation, production deployment, documentation, and knowledge sharing.
- Contribute to agile delivery through sprint planning, daily stand-ups, backlog refinement, progress reporting, and continuous collaboration with cross-functional teams.
What we offer
Why Deloitte?
At Deloitte, we believe great people build great organizations. That’s why we offer:
- Competitive salary and benefits package.
- Flexible and hybrid work model.
- Unlimited access to worldwide esteemed digital learning platforms as per individual needs and curiosity, in addition to classroom trainings.
- Personal development and constant growth.
- Career pathway and opportunity to constantly grow.
- Dynamic and international work environment and team spirit.
- Complete Private Health/Travel Insurance.
- Employee assistance program, available to you and your immediate family members 24 hours a day, 7 days a week, 365 days a year, covering legal, financial and mental health advisory services.
Selection process
Ready to take the next step?
Recruitment Journey
- HR Interview – Let's get to know each other and explore your experience and career goals.
- Technical Interview – Meet the hiring team and learn more about the role.
- Meeting the Partner - Additional interview.
- Onboarding - Begin your Deloitte journey with the support, training, and resources you need to succeed from day one.
Description & Requirements
Who we are looking for
We are seeking an AI Specialist with strong expertise in Generative AI, Agentic AI, machine learning, and cloud-native engineering to design, develop, deploy, and continuously improve intelligent solutions that address real business needs.
The role combines hands-on AI engineering, data and model pipeline development, agentic workflow orchestration, responsible AI controls, and close collaboration with product owners, technical teams, and business stakeholders across the full solution lifecycle.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, Artificial Intelligence, or a related field; an advanced degree is preferred.
- Minimum of 5 years of experience in data engineering, artificial intelligence development, machine learning engineering, or cloud-native software engineering.
- Proven experience designing, developing, and deploying AI agents, machine learning models, data pipelines, or end-to-end AI solutions in production environments.
- Hands-on experience with Python and relevant AI, machine learning, and data engineering libraries such as NumPy, Pandas, PyTorch, TensorFlow, or scikit-learn.
- Experience with Generative AI and large language model solutions, including prompt engineering, retrieval-augmented generation, tool calling, evaluation, and model performance optimization.
- Experience with agentic AI frameworks, workflow orchestration, API integration, memory patterns, and multi-step automation; knowledge of agent-to-agent communication patterns is an advantage.
- Experience building REST APIs, cloud-native microservices, and integration solutions using technologies such as Java, Spring Boot, SOAP, REST, and JSON.
- Good understanding of Docker, Kubernetes, CI/CD tools, GitHub, Jenkins, and release management practices.
- Experience with at least one major cloud platform, such as Azure, AWS, or Google Cloud Platform, including AI, machine learning, data, and security services. Being certified is considered a plus.
- Knowledge of responsible AI, data privacy, cloud security, model governance, testing, observability, and production support practices.
- Nice to have: experience using Cursor or similar AI-assisted development environments, and working with MCP servers for tool integration, context sharing, or agentic workflow enablement.
- Proficiency in written and spoken English.
Your future role
- Design, develop, and integrate AI solutions, including Generative AI models, large language models, multimodal models, machine learning models, and advanced analytics capabilities.
- Build and orchestrate agentic AI workflows, including single-agent and multi-agent patterns, tool use, memory, retrieval-augmented generation, and workflow automation.
- Translate business requirements into technical solutions by working closely with product owners, business units, engineers, data scientists, and client stakeholders.
- Develop scalable AI and data pipelines, including data preprocessing, feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.
- Implement AI-enabled automation for use cases such as document processing, case summarization, content generation, decision support, and workflow orchestration.
- Deploy and operate AI services in cloud-native or containerized environments, including Azure, AWS, Google Cloud Platform, Docker, Kubernetes, and CI/CD-enabled platforms.
- Ensure responsible and secure AI delivery by applying privacy, security, compliance, prompt injection defense, data protection, PII redaction, testing, and model governance practices.
- Monitor, troubleshoot, and optimize AI applications using observability, performance monitoring, incident management, defect resolution, and production support processes.
- Support the full development lifecycle, including prototyping, functional and non-functional testing, release preparation, production deployment, documentation, and knowledge sharing.
- Contribute to agile delivery through sprint planning, daily stand-ups, backlog refinement, progress reporting, and continuous collaboration with cross-functional teams.
What we offer
Why Deloitte?
At Deloitte, we believe great people build great organizations. That’s why we offer:
- Competitive salary and benefits package.
- Flexible and hybrid work model.
- Unlimited access to worldwide esteemed digital learning platforms as per individual needs and curiosity, in addition to classroom trainings.
- Personal development and constant growth.
- Career pathway and opportunity to constantly grow.
- Dynamic and international work environment and team spirit.
- Complete Private Health/Travel Insurance.
- Employee assistance program, available to you and your immediate family members 24 hours a day, 7 days a week, 365 days a year, covering legal, financial and mental health advisory services.
Selection process
Ready to take the next step?
Recruitment Journey
- HR Interview – Let's get to know each other and explore your experience and career goals.
- Technical Interview – Meet the hiring team and learn more about the role.
- Meeting the Partner - Additional interview.
- Onboarding - Begin your Deloitte journey with the support, training, and resources you need to succeed from day one.
