
Transformative AI Solutions Architect
3 days ago
We are seeking a Senior AI Engineer to join our team and contribute to the success of our AI practice.
As a Senior AI Engineer, you will work on immediate client projects, collaborating closely with our experienced AI team. You will be responsible for architecting enterprise-scale AI solutions for complex client challenges across various industries.
- Lead complex multi-model AI implementations that integrate LLMs, traditional ML, and business systems
- Conduct client workshops and technical deep-dives to identify AI opportunities and design solutions
- Present technical concepts confidently to both technical teams and C-level executives
- Manage client relationships and expectations throughout AI project lifecycles
You will be designing and implementing sophisticated AI systems including RAG architectures, multi-model orchestration, and hybrid ML/LLM solutions. Additionally, you will build production-ready AI applications with comprehensive monitoring, governance, and scalability.
- Optimize model performance and costs across cloud platforms (Azure AI/AWS SageMaker)
- Implement enterprise MLOps pipelines with automated training, deployment, and monitoring
- Research and evaluate emerging AI technologies for client applications
Required Skills and Qualifications:
- 5+ years of hands-on AI/ML experience with production deployments
- Advanced proficiency in both traditional machine learning and large language models
- Proven experience with LLM operations: prompt engineering, fine-tuning, RAG implementations, and multi-modal integration
- Strong MLOps capabilities: end-to-end ML pipelines, model monitoring, A/B testing, and automated retraining
- Cloud AI platforms: Advanced experience with Azure AI Services or AWS SageMaker, including cost optimization and governance
Preferred Qualifications:
- Advanced degree in Computer Science, AI/ML, Data Science, or related field
- Industry certifications in cloud AI platforms (Azure AI Engineer, AWS ML Specialty)
- Consulting experience in technology or AI advisory roles
- Research contributions through publications, conferences, or open-source projects
What We Offer:
- Clear career progression through our defined AI Engineering Career Track
- Continuous learning budget for certifications, conferences, and advanced training
- Mentorship opportunities with industry experts and senior leadership
- Innovation time for research and experimentation with cutting-edge AI technologies
Impactful Work:
- Direct client impact on AI transformation initiatives across multiple industries
- Diverse project portfolio spanning traditional ML, LLMs, and hybrid AI solutions
- Technical thought leadership opportunities through speaking, writing, and industry engagement
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