Top Tech Jobs & Startup Jobs

Design, develop, and deploy AI/ML models and production systems. Collaborate with cross-functional teams, mentor engineers, and ensure model performance, scalability, and reliability. Drive technical strategy for AI solutions.

Senior Client Partner responsible for owning and growing a strategic TMT account (telecom/ISP). Lead account strategy, P&L, business development, proposals/SOWs, pricing negotiations, and client satisfaction. Connect client stakeholders to Blend360 capabilities, act as trusted advisor to senior executives, and drive expansion of analytics and AI engagements.

Develop production software while enabling internal engineering teams through developer support, tooling, automation, architecture guidance, infrastructure as code, and security framework recommendations. The role uses .NET and C#, with Terraform and AWS exposure, and helps integrate AI knowledge into coding tools. Responsibilities include code reviews, testing, technical mentoring, documentation, workflow improvement, and resolving ambiguous development challenges.

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.