Jobs at Coretek Services

The AI Business Analyst leads discovery, process mapping, use-case prioritization, and requirements definition for AI, analytics, reporting, and automation projects. They translate business needs into user stories and acceptance criteria, maintain traceability, assess data readiness and impacts, support backlog refinement and user acceptance testing, document validation results, and prepare process guidance and handover materials. The role connects client stakeholders with technical delivery teams while tracking risks, dependencies, decisions, and business outcomes.

Designs and implements Azure-based data and AI solutions for clients. Responsibilities include developing data platforms and ETL/ELT pipelines, integrating Azure AI and machine learning services, supporting solution architecture, implementing DevOps automation, ensuring governance and security, and building Power BI analytics. The consultant conducts client workshops, gathers requirements, presents solutions, mentors team members, and contributes to modern data and AI consulting engagements.

Designs, operates, secures, and troubleshoots Citrix NetScaler Gateway environments supporting remote access to Citrix applications and desktops. Responsibilities include authentication integration, load balancing, SSL certificate management, high availability, upgrades, patching, performance troubleshooting, automation, cloud migration, security hardening, and documentation. The engineer collaborates with Citrix, identity, network, firewall, infrastructure, and service desk teams while serving as an escalation point for complex access and connectivity incidents.

Build and deploy production-grade agentic AI applications on Azure, including RAG pipelines, tool integrations, evaluation systems, observability, guardrails, and scalable containerized services. Lead technical direction on client engagements, translate ambiguous business needs into reliable AI use cases, mentor engineers, and collaborate across project, data, and application teams. Ensure strong testing, CI/CD, security, cost and latency optimization, documentation, and responsible AI practices.

Designs, implements, supports, and improves enterprise Azure, hybrid, on-premises, and network security environments. Owns complex routing, switching, firewall, SD-WAN, cloud connectivity, and automation solutions. Provides L3 escalation support, incident triage, root cause analysis, client advisory, documentation, and technical leadership across managed services environments. Mentors engineers, improves standards and monitoring, supports migrations, and automates deployments using infrastructure-as-code and scripting tools.

Designs, builds, and implements secure Microsoft Azure environments for clients, including landing zones, infrastructure, networking, governance, security, monitoring, and DevOps automation. Leads cloud migrations, modernization initiatives, technical discovery workshops, architecture design, Infrastructure as Code development, CI/CD pipeline implementation, testing, project workstreams, documentation, and operational handoff. Requires strong client-facing consulting skills and expertise with Terraform or Bicep, Azure services, migration planning, and Azure certifications.

Provides Level 3 technical support and systems administration for Microsoft environments. Manages identity, security, endpoint enrollment, patching, upgrades, backup, disaster recovery, and infrastructure migrations. Troubleshoots complex issues, performs root cause analysis, documents solutions, supports automation and DevOps adoption, and collaborates with service teams and clients. The role also helps identify service opportunities and may lead managed services projects or teams.

Provides L3/L4 operational support and engineering for Citrix and Azure Virtual Desktop environments. Responsibilities include troubleshooting, platform administration, endpoint and identity management, patching, monitoring, disaster recovery, automation with Infrastructure as Code, performance and cost optimization, client advisory, documentation, incident response, and mentoring. The role supports multiple enterprise customer environments while improving reliability, security, governance, and service delivery.

Generates net-new business opportunities through outbound prospecting, cold calling, email, LinkedIn, and strategic outreach. The role researches target accounts, engages executive decision-makers, qualifies leads, schedules meetings, communicates technology solutions, and meets activity and pipeline targets. The representative partners with Sales, Marketing, and Consulting teams on AI, security, and cloud sales initiatives while developing expertise through mentorship and certifications.

Build and refine AI-powered automation solutions for business workflows. Partner with stakeholders to identify automation opportunities, apply generative AI and conversational agents, test solutions against real-world data, document architectures, communicate results, and support deployment. Interns gain hands-on experience with Microsoft AI and automation technologies while researching emerging tools and measuring operational impact.