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Role Overview
We are seeking an experienced Engineering Leader with a proven track record of delivering production-grade AI solutions at scale. The ideal candidate will combine strong technical leadership with exceptional delivery management, stakeholder engagement, and people leadership capabilities. This role will be responsible for leading high-performing engineering teams, driving execution excellence, and partnering closely with business and product leaders to deliver innovative AI-powered solutions that create measurable business impact.
Key Responsibilities
Required Qualifications
Success Profile
The ideal candidate is a delivery-focused engineering leader who combines technical depth, business acumen, stakeholder management, and empathetic people leadership. They are capable of driving large-scale AI initiatives while building strong teams, influencing executives, and delivering meaningful business outcomes. edge.
Job ID: 149312011
Skills:
Kafka, Distributed Systems, Apis, microservices architectures, modern data platforms, modern engineering practices, intelligent automation, enterprise integration patterns, event-driven systems, cloud-native architectures, AI-enabled workflows, enterprise APIs, financial automation platforms
Skills:
production readiness , secure sdlc , Apis, Automated Testing, DevSecOps, Distributed Systems, Kubernetes, AWS, data pipelines, Reliability, cloud-native applications, AI-assisted development, infrastructure as code, scalable web platforms, observability
Skills:
Apis, Version Control, Git, Distributed Systems, System Design, Agile, Scrum, Software Engineering, data pipelines, LLMs, Engineering Management, CI CD, AI integrations, external SDKs, third-party platforms, analytics systems
Skills:
snowflake , containerization , Databricks, Devops, Data Warehousing, Gcp, Terraform, Edi, Mulesoft, AWS, Kubernetes, Azure, Docker, AWS API Gateway, Spark, Looker, AI ML systems, Azure API Management, dbt, Agentic AI frameworks, LangChain, CrewAI, CI CD pipelines, EHR EMR integrations, infrastructure-as-code, BI tooling, data analytics platforms, AutoGen, API gateways, MLOps practices
Skills:
Machine Learning, Nlp, Cloud Services, Python, GenAI, Team Leadership