Top Tech Jobs & Startup Jobs

Design, build, and deploy production-grade agentic AI systems that execute complex workflows using LLMs, orchestration frameworks, MCP tools, coding agents, APIs, and enterprise systems. Responsibilities include context and harness engineering, tool integration, RAG, agent evaluation, guardrails, reliability testing, cloud deployment, optimization, observability, and secure enterprise integration. The role requires translating business requirements into scalable AI applications with measurable impact beyond proof-of-concept implementations.

Leads strategic healthcare client engagements, managing concurrent cross-functional workstreams, fulfillment teams, deliverables, senior stakeholder relationships, solution strategy, and account growth opportunities. Provides thought leadership involving data science, data architecture, and business intelligence while coordinating complex projects and resolving sensitive client issues.

Develop production software while enabling internal engineering teams through developer support, tooling, automation, architecture guidance, and platform improvements. The role involves advising on development environments, Unix/Bash workflows, internal frameworks, identity solutions, Terraform infrastructure as code, AWS-based environments, testing, and AI coding tools. Candidates need 5+ years of software engineering or similar experience, strong .NET skills, architectural judgment, communication, and a proactive mentoring mindset.

Lead design and implementation of standardized ETL pipelines and data models to migrate fragmented ERP data into Microsoft Fabric. Perform gap analysis across 80+ ERP systems, build data quality and validation frameworks, pilot and refine integration standards, mentor engineers, document lineage and transformations, and troubleshoot data issues to ensure AI-ready analytics.

Lead the design and implementation of standardized ETL pipelines and data models to migrate and unify data from 80+ ERP systems into Microsoft Fabric. Build data quality frameworks, perform gap analysis and data mapping, lead pilot implementations, troubleshoot data issues, mentor engineers, and document lineage and integration patterns to enable AI-ready analytics.

Lead design and implementation of standardized ETL pipelines to migrate and transform data from 80+ ERP systems into Microsoft Fabric. Build data quality frameworks, optimize data models for AI/analytics, pilot and refine integration patterns, troubleshoot data issues, document lineage, and mentor the team on Fabric-specific engineering practices.

Lead design and delivery of Snowflake-based data ingestion and ELT pipelines, enforce Medallion Architecture and data quality frameworks, build/optimize AWS data pipelines, drive governance, mentor teams, and act as a client-facing technical leader ensuring reliable, governed data for analytics.

Lead design and implement standardized ETL pipelines, data transformations, and data quality frameworks to migrate and unify data from 80+ ERP systems into Microsoft Fabric. Conduct gap analyses, build AI-ready data models, run pilot implementations, troubleshoot data issues, document lineage, and mentor engineers on Fabric-specific best practices and automation for scalable analytics workloads.

Lead design, build, and maintain automated data pipelines, modernize manual Excel reporting into scalable BI solutions, optimize SQL and data models, support model scoring and production data preparation, monitor data quality, and collaborate with stakeholders to deliver reliable analytics.

Design, build, and maintain API-based integrations and data pipelines to move and activate customer data across platforms. Implement identity resolution, manage identifiers, ensure data quality and security, troubleshoot data flows, and collaborate with engineering, data, and business teams to deliver scalable CDP solutions.