Senior Consultant - Data & AI Solutions
Tasks
- Build and scale AI services
- Design AI solution scope milestones acceptance criteria
- Develop data pipelines and ETL
- Enforce coding standards documentation PR review
- Ensure data quality privacy by design
- Establish responsible AI guardrails
- Evaluate vendors and tools
- Implement CI/CD pipelines
- Instrument telemetry and analytics
- Lead end-to-end delivery
- Manage stakeholders and executive presentations
- Mentor junior engineers
- Optimize performance, reliability, and cost
- Own solution architecture for cloud based AI
- Run AI experiments deliver prototypes
- Track benefits against KPIs and ROI
- Translate business goals into technical roadmaps
Perks/Benefits
- 401k match
- Digital learning programs
- Employee discounts
- Employee shares program
- Health insurance
- Hybrid work
- Paid Holidays
- Paid parental leave
- Paid time off
- Paid volunteer days
- Tuition reimbursement
Skills/Tech-stack
API Integration | AWS Bedrock | Agentic Workflows | Apache Spark | Azure OpenAI | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Governance | Data Lineage | Data Privacy | Databricks | Delta Lake | Docker | ETL | Experiment tracking | GitHub Actions | IAM | Incident Response | Information security | Infrastructure as Code | Kubernetes | LLMOps | Langchain | Llamaindex | MLOps | Microservices | Model versioning | Monitoring and Logging | Power BI | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Snowflake | Synapse Analytics | Terraform | Unity Catalog | “as-code”
Education
MBA | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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