Engagement Manager
Tasks
- Apply prompt engineering evaluation guardrails and AI governance
- Architect retrieval-augmented generation systems
- Build AI agents for reasoning planning orchestration
- Build ELT/ETL pipelines
- Build forecasting optimization recommendation vision NLP anomaly detection systems
- Conduct business assessments for AI opportunities
- Create multi agent workflows for automation
- Define enterprise architecture standards
- Deliver client presentations workshops and executive demos
- Design enterprise AI solutions
- Design generative AI applications with LLMs
- Design scalable cloud data architectures
- Develop enterprise AI and data roadmaps
- Develop production ML pipelines with MLOps
- Implement CI CD for analytics and ML platforms
- Implement modern data platforms
- Implement responsible AI explainability bias monitoring observability
- Integrate vector databases knowledge graphs semantic search
- Lead API first and microservices based AI deployment
- Lead consulting engagements discovery to implementation
- Lead engineering teams delivery governance risk and stakeholder communication
- Maintain data quality data governance and data catalog
- Mentor technical teams and drive engineering excellence
- Optimize performance scalability and cloud cost
- Review solution architecture and engineering quality
- Run experimentation A B testing causal inference and model validation
- Serve as trusted advisor to senior stakeholders
- Support pre-sales solution design and proposals
- Translate business problems into analytics solutions
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | API first | Amazon Redshift | Anomaly Detection | Apache Airflow | Apache Kafka | B testing | Bias monitoring | BigQuery | CI/CD | Causal Inference | Computer Vision | DBT | Databricks | Deep learning | Elastic? N/A | Explainability | GenAI | Google Dataflow | Kafka | Knowledge graphs | LLM | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microservices | Microsoft Fabric | Model Governance | Model Observability | N A | Natural Language | Natural Language Processing | Prompt engineering | PySpark | Python | RAG | Responsible AI | Retrieval-Augmented Generation | SQL | Semantic Search | Snowflake | Spark | Vector Databases
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