GenAI Engineering Development Lead VP

USD 170K-230K Senior-level Full Time Found 11d ago

Tasks

• Advance research-based problem solving
• Advise stakeholders on technical and strategic matters
• Apply security, privacy, and regulatory standards
• Automate processes, optimize workflows, and integrate data
• Build and scale enterprise AI solutions
• Build solutions on Azure, AWS, M365
• Collaborate with technology teams
• Contribute to strategy and policy development
• Create innovative analytical solutions
• Demonstrate leadership and adherence to values
• Design analytics and modeling solutions
• Design and scale agent workflows and orchestration across platforms
• Develop and validate analytics software
• Familiarity with orchestration frameworks and APIs
• Implement and operationalize models
• Lead or guide teams of specialists
• Learn new techniques and programming paradigms
• Maintain stakeholder relationships
• Manage LLMOps with prompt design and evals
• Manage resources, budgets, and policies
• Manage risks and ensure control compliance
• Perform cost and performance optimization
• Support ongoing analytics performance
• Translate business needs into technical solutions
• Write tests, modernize legacy code

Perks/Benefits

• 401k
• Dental
• IncentiveAward
• LifeInsurance
• Medical
• PaidLeave
• Vision

Skills/Tech-stack

API | AWS | Automation | AzureAI | AzureGenAI | AzureML | AzureSearch | Bedrock | CI/CD | DataCatalogues | DigitalTransformation | EnterpriseArchitecture | EventDrivenAPIs | Integration | KMS | Langchain | Langgraph | M365 | ModelRisk | Observability | OpenSearch | PowerApps | PowerAutomate | QualityEngineering | REST | RiskManagement | SOAP | SageMaker | Security | StrategicThinking | TestAutomation | VPC