What you'll do
- Develop and deploy Generative AI and Machine Learning solutions with IBM watsonx.ai
- Build, fine-tune, and evaluate foundation models and Large Language Models (LLMs)
- Design prompt engineering strategies and Retrieval-Augmented Generation (RAG) architectures
- Integrate AI services into enterprise applications and workflows
- Monitor model performance and optimize AI solutions for business outcomes
- Implement responsible AI practices using IBM watsonx.governance
- Establish AI risk management, compliance, and model monitoring frameworks
- Define policies for model lifecycle management, explainability, and auditability
- Ensure AI systems meet regulatory, security, and ethical standards
- Create governance dashboards and reporting mechanisms
- Build and manage scalable data pipelines using IBM watsonx.data
- Prepare, transform, and govern structured and unstructured data
- Optimize data architectures for analytics, AI training, and inference workloads
- Integrate data sources across cloud and on-premises environments
- Ensure data quality, security, and accessibility throughout the AI lifecycle
- Design and automate AI workflows with IBM watsonx Orchestrate
- Integrate AI assistants with enterprise systems, APIs, and business processes
- Build intelligent workflows to streamline operations and improve productivity
- Develop reusable automation components and orchestration patterns
- Collaborate with business and technical teams to deliver seamless user experiences
Key requirements
- Experience with IBM watsonx platform components including watsonx.ai, watsonx.governance, watsonx.data, and watsonx Orchestrate
- Strong understanding of Generative AI, Large Language Models (LLMs), and AI/ML concepts
- Proficiency in Python and modern software engineering practices
- Knowledge of prompt engineering and Retrieval-Augmented Generation (RAG) architectures
- Familiarity with APIs, REST services, containerization (Docker), and Kubernetes
- Experience with CI/CD pipelines and DevOps principles
- Expertise in AI risk management, model monitoring, and compliance frameworks
- Skills in building and managing data lakes, ETL/ELT pipelines, SQL, and Spark
- Competence in AI workflow automation, conversational AI, and enterprise system integration
Benefits
- Monthly lunch allowance.
- Private health & life insurance.
- Access to Udemy for unlimited learning.
- Coaching and mentorship programs.
- Annual discretionary bonus.
- Opportunities to collaborate with industry-leading clients.
About the job
As an IBM WatsonX Platform Engineer at SILVARE, you'll help organizations unlock the power of enterprise AI by designing, implementing, and optimizing solutions across the IBM watsonx ecosystem. You'll work with cutting-edge AI technologies and collaborate with cross-functional teams to deliver scalable, secure, and business-focused solutions for some of the world's leading technology companies.
This role spans multiple domains of the watsonx platform, including AI development, data engineering, AI governance, and orchestration. Depending on your expertise and interests, you'll contribute to one or more of these areas while helping clients accelerate their AI transformation journeys.
What You'll Be Doing
AI Engineers
Develop and deploy Generative AI and Machine Learning solutions using IBM watsonx.ai.
Build, fine-tune, and evaluate foundation models and large language models (LLMs).
Design prompt engineering strategies and Retrieval-Augmented Generation (RAG) architectures.
Integrate AI services into enterprise applications and workflows.
Monitor model performance and optimize AI solutions for business outcomes.
Governance Engineers
Implement responsible AI practices using IBM watsonx.governance.
Establish AI risk management, compliance, and model monitoring frameworks.
Define policies for model lifecycle management, explainability, and auditability.
Ensure AI systems meet regulatory, security, and ethical standards.
Create governance dashboards and reporting mechanisms for stakeholders.
Data Engineers
Build and manage scalable data pipelines that power AI applications.
Prepare, transform, and govern structured and unstructured data using IBM watsonx.data.
Optimize data architectures for analytics, AI training, and inference workloads.
Integrate data sources across cloud and on-premises environments.
Ensure data quality, security, and accessibility throughout the AI lifecycle.
Orchestration Engineers
Design and automate AI workflows using IBM watsonx Orchestrate and related technologies.
Integrate AI assistants with enterprise systems, APIs, and business processes.
Build intelligent workflows that streamline operations and improve productivity.
Develop reusable automation components and orchestration patterns.
Collaborate with business and technical teams to deliver seamless user experiences.
What You'll Bring
Experience with the IBM watsonx platform, including one or more of:
watsonx.governance
watsonx Orchestrate
Strong understanding of AI/ML concepts, Generative AI, and Large Language Models.
Proficiency in Python and experience with modern software engineering practices.
Familiarity with APIs, REST services, and cloud-native architectures.
Experience with containerization technologies such as Docker and orchestration platforms like Kubernetes.
Knowledge of CI/CD pipelines and DevOps principles.
Domain Expertise
AI Engineering: Prompt engineering, RAG architectures, model tuning, ML frameworks, and GenAI application development.
Governance Engineering: AI risk management, model monitoring, compliance frameworks, and responsible AI principles.
Data Engineering: Data lakes, ETL/ELT pipelines, SQL, Spark, and modern data architectures.
Orchestration Engineering: Workflow automation, conversational AI, enterprise integrations, and process optimization.
How We Support Your Growth
Lunch Is On Us: Monthly allowance for your favorite meals.
Health First: Private health & life insurance for peace of mind.
Set Up For Success: The right tools to stay connected and perform your best.
Curiosity Never Retires: Access to Udemy for unlimited learning.
Career Rocket Fuel: Coaching and mentorship programs tailored to your goals.
Work With The Best: Collaborate with industry-leading clients.
Celebrate Diversity: Be part of a team that values every perspective.
Performance Pays Off: Annual discretionary bonus based on yearly contributions.
Social Responsibility: Give back through volunteering and sustainability.



