Technical Support Specialist - Healthcare

Infostride Technologies; Dadri; Hybrid; INR 400,000 - 700,000; Full time

Job summary

Infostride Technologies is seeking a HITL Technical Support Specialist to monitor HITL workflows and provide Tier 2 technical support for post-go-live PCC clients.

Hybrid role with office-based days and remote work, requiring strong communication to translate AI behavior for technical and non-technical stakeholders.

Qualifications

• Familiarity with US healthcare system is a plus.
• Experience monitoring HITL systems or AI/automation operations.
• Technical support experience in healthcare or SaaS context.
• Proficient in SQL; able to validate data and perform RCA.
• Strong organizational skills and meticulous documentation.

Responsibilities

• HITL Monitoring & Triage: track queues, SLAs, and review samples for quality.
• Technical Support & Issue Resolution: provide post-go-live support and RCA findings.
• Operations & Process Improvement: monitor metrics and update SOPs.
• Cross-Functional Collaboration & Client Engagement: liaise with clients during go-live.
• Risk & Quality Assurance: identify drift and ensure privacy and governance compliance.

Skills

SQL

SLA management

Issue triage

Healthcare domain knowledge

Cross-functional collaboration

Job description

PFB the job description for the Technical Support Specialist role for your better understanding along with company details as well.

Timings- 02:30 pm to 11:30 pm IST (Tentative)

Location- Noida (Sec-142)

Mode- Work from the Office (3 Days from the office and 2 Days from Home)

About the Role:

We are looking for a HITL Technical Support Specialist to join our Technical Support team. In this hybrid role, you will own the day-to-day monitoring, quality assurance, and operational management of the Human-in-the-Loop (HITL) layer within our AI Operational Assistant: Patient Concierge solution, while also providing Tier 2 technical support and issue triage for post-go-live Perioperative Care Coordination (PCC) clients.

You will serve as a critical bridge between Qventuss AI platform, clinical operations, and health system customers ensuring HITL workflows maintain accuracy, quality, and trust, while also diagnosing and resolving the technical issues that arise after go-live. The ideal candidate brings a sharp eye for operational quality, comfort with data and EHR workflows, and the communication skills to translate complex system behavior for both technical and non-technical stakeholders.

Key Responsibilities:

• HITL Monitoring & Triage

  Track and monitor HITL queues, workflows, and SLAs (response times, volumes, backlog) to ensure timely human review of edge cases and AI-generated outputs. Review a statistically representative sample of HITL-reviewed interactions daily for quality, consistency, and slippage. Identify trends in HITL overrides, error types, model misclassifications, and systematic drift surfacing actionable insights to product and R&D teams. Triage escalations (urgent or ambiguous cases) into appropriate workflows (clinical review, system bug, escalation to CS, etc.). Maintain escalation paths, decision logic rules, and guardrails in partnership with clinical, product, and operations stakeholders.

• Technical Support & Issue Resolution

  Provide technical support to clients on post-go-live PCC solutions, or elevate to appropriate technical teams (DI, Product, Engineering) when warranted. Lead root cause analysis (RCA) for recurring or high-impact issues: interpret logs, validate data pipelines, reproduce errors, and document findings. Perform light technical work as needed SQL queries to validate data, review ETL/HL7 payloads, or support configuration troubleshooting in coordination with Data Integration Engineers. Collaborate with Data Integration, Data Engineers, Clinical Operations Consultants, and Product Specialists to identify and implement client-value-driving solutions post-deployment. Manage support SLAs and OLAs in accordance with contractual thresholds, keeping clients informed and escalations on track.

• Operations & Process Improvement

  Partner with Implementation and Support teams to monitor HITL performance metrics against contractual thresholds. Identify process improvement opportunities and create structured approaches to close gaps in HITL logic or support workflows. Maintain SOPs, escalation playbooks, decision guidelines, and knowledge base documentation for HITL operations.

• Cross-Functional Collaboration & Client Engagement

  Serve as the voice of HITL in client engagements support issue triage, explain AI logic, and represent operational quality to health system stakeholders. During client go-live and hypercare, provide heightened HITL oversight, support triage surges, and manage transitions to steady state.

• Risk & Quality Assurance

  Proactively scan for edge cases, unexpected behavior, drift, or performance regressions in HITL logic and patient-facing AI outputs. Maintain documentation informing R&D of necessary decision rule or logic adjustments. Ensure compliance with privacy, security, and clinical governance standards across all HITL and support operations.

What Were Looking For

• General familiarity with the US healthcare system
• Understanding of clinical workflows, EHR environments, and patient communication is a plus
• Experience with or strong exposure to monitoring human-in-the-loop systems, quality review processes, or AI/automation operations
• Experience in technical support, including SLA management, issue triage, and escalation coordination in a healthcare or SaaS context
• Proficiency in SQL and comfort with ETL/data pipeline concepts; ability to run queries to validate data and support root cause analysis
• Strong organizational skills and attention to detail able to manage queues, track SLAs, and maintain documentation in a fast-paced environment
• Excellent written and verbal communication skills able to distill ambiguous technical cases and escalation rationale for both technical and non-technical audiences
• Experience working cross-functionally with multiple internal and external teams to manage concurrent workstreams
• Ability to operate in a fast-paced, ambiguous environment while balancing rapid iteration with quality and risk