Document Intelligence Analyst in Hyderabad

ABOUT THIS ROLE GHX connects healthcare suppliers and hospitals across North America, processing over 2.2 million Purchase Order (PO) documents per year through its ADM (Automated Document Management) platform. The platform processes the majority of documents automatically; documents the system cannot process with sufficient confidence are routed to a human review queue. The Document Review Specialist verifies those flagged documents and corrects extraction errors at the field level. Every correction feeds directly into model retraining — you are not maintaining a status quo, you are actively improving the platform’s accuracy over time. This is a precision operations role, not conventional data entry. KEY RESPONSIBILITIES Document Verification & Field Correction — 95% Verify documents like purchase orders, invoices, etc. flagged by the platform as requiring validation Compare extracted field values against the source document image and correct every discrepancy at the field level Verify and correct core fields, including vendor name, PO/Invoice number, line item descriptions, quantities, unit prices, delivery dates, and ship-to addresses Sustain throughput of ~30 documents per hour at a field accuracy rate of 99% or above Self-audit daily output before shift-end submission to catch and correct errors before they enter the system Flag ambiguous, damaged, or edge-case documents per the team escalation protocol; do not attempt to resolve documents outside defined parameters Calibration & Continuous Improvement — 5% Participate in team calibration sessions led by the Supervisor to maintain consistent field interpretation standards Surface recurring error patterns to the Supervisor (e.g., consistent misread of a specific supplier’s PO template) through the team escalation channel Complete structured onboarding and participate in refresher sessions as document types and field standards evolve REQUIRED QUALIFICATIONS Bachelor’s degree in any discipline 1–3 years of

ABOUT THIS ROLE GHX connects healthcare suppliers and hospitals across North America, processing over 2.2 million Purchase Order (PO) documents per year through its ADM (Automated Document Management) platform. The platform processes the majority of documents automatically; documents the system cannot process with sufficient confidence are routed to a human review queue. The Document Review Specialist verifies those flagged documents and corrects extraction errors at the field level. Every correction feeds directly into model retraining — you are not maintaining a status quo, you are actively improving the platform’s accuracy over time. This is a precision operations role, not conventional data entry. KEY RESPONSIBILITIES Document Verification & Field Correction — 85% Verify documents like purchase orders, invoices, etc. flagged by the platform as requiring validation Compare extracted field values against the source document image and correct every discrepancy at the field level Verify and correct core fields, including vendor name, PO/Invoice number, line item descriptions, quantities, unit prices, delivery dates, and ship-to addresses Sustain throughput of ~30 documents per hour at a field accuracy rate of 99% or above Self-audit daily output before shift-end submission to catch and correct errors before they enter the system Flag ambiguous, damaged, or edge-case documents per the team escalation protocol; do not attempt to resolve documents outside defined parameters Process Documentation & Reporting — 10% Create and maintain Standard Operating Procedures (SOPs) for document review workflows, and update them as document types and field standards change Build and maintain process maps for end-to-end document review flows, including exception and escalation paths Perform basic analytics — collate production and quality data, and pull routine and ad-hoc reports on throughput, accuracy, and error trends as required Calibration & Continuous Improvement —

ABOUT THIS ROLE GHX is standing up a new Human-in-the-Loop (HiTL) operations team in Hyderabad to support its ADM (Automated Document Management) platform — an AI-powered document processing system replacing legacy UiPath automation for GFax North America. The platform processes over 2.2 million Purchase Orders per year and targets a 75–85% fully-automated (touchless) rate. The team handles every document the AI cannot process autonomously. The Operations Supervisor is building this team from zero and is accountable for everything within it: throughput, field accuracy, team development, day-to-day operations management, and real-time coordination with GHX Engineering and Product teams in the United States. This is a high-visibility, inaugural role — the team’s accuracy and throughput directly determine the speed and confidence with which GHX can expand the ADM platform beyond GFax North America. KEY RESPONSIBILITIES People & Performance Management — 70% Directly supervise 15-20 Document Review Specialists; own rostering across rotational shifts, attendance tracking, and queue capacity planning against daily document volume Manage operations SLA – TAT, Quality, along with people metrics Own day-to-day operations management: shift rosters and week-offs, leave planning, planned & unplanned shrinkage, absenteeism control, and real-time reallocation of staffing to protect SLAs & operations performance metrics Set and communicate daily, weekly, and monthly throughput, AHT, and accuracy targets; monitor individual and team performance against SLA and productivity standards Participate in and present at weekly, monthly, and quarterly business reviews (WBR / MBR / QBR) — performance against KPIs, root-cause analysis of misses, and committed corrective actions Own the full performance cycle for direct reports, including goal setting, mid-year and annual appraisals, with documented performance ratings, development plans, and calibration against peer supervisors Con

Opportunity Overview: The Data Platform team at Cohere Health is building a scalable, intelligent data ecosystem to power analytics, reporting, and operational decision-making across the company. We are seeking a Business Analyst II to serve as the bridge between client enablement and business needs and technical execution. You’ll work closely with clients, stakeholders, product managers, and engineers to gather requirements, write user stories, shape data solutions, and help drive the development of high-quality data products. As a Business Analyst II, you are expected to work independently on moderately complex initiatives, provide clarity and structure to technical delivery, and contribute to the ongoing evolution of our processes and workflows. This role combines attention to detail, analytical thinking, and cross-functional collaboration. This role offers the opportunity to work in a dynamic, mission-driven environment with the chance to make a measurable impact on healthcare outcomes. The ideal candidate will be curious, detail-oriented, and comfortable navigating fast-paced, cross-functional work. What you’ll do: Partner with clients, the client delivery team, product development and stakeholders across the business to gather and document detailed business and data requirements Translate business needs into clear user stories, and supporting epics, collaborating with the Sr. Product Manager and engineers to ensure accuracy and alignment Perform data gap analyses and source-to-target mapping to support onboarding of new data sources Validate data outputs and support QA processes using SQL and other tools to ensure accuracy, consistency, and completeness Support data profiling and quality monitoring efforts, while maintaining awareness of data lineage and providing business context to ensure end-to-end data reliability. Serve as the point of contact for requirement clarification during project delivery, ensuring alignment across teams Take initiative to improve

Role: Senior Software Engineer Location: Hyderabad, India (Hybrid) Department: Product Development About GHX: GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the GHX Global Network — the world’s largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate key processes, reduce costs, and increase operational efficiency. Its solutions span electronic trading, procurement automation, inventory and contract management, business intelligence, and data synchronization, helping healthcare organizations improve productivity and focus more on patient care. Over the years, GHX has enabled significant cost savings for the industry and continues to innovate with intelligent automation and AI-driven capabilities. Website: https://www.ghx.com/ LinkedIn: https://www.linkedin.com/company/ghx/ About Role: GHX’s trading platform handles millions of documents to facilitate business transactions between healthcare providers, suppliers and trading partners. The Exchange Engineering team is seeking to hire a Seasoned Engineering lead to strengthen its Engineering team in Hyderabad. This role will design, develop and scale backend platform that supports millions of transactions. Candidate must be well-versed and comfortable working in multiple aspects of a multi-tiered architecture, including but not limited to cloud-based applications and CI/CD processes. He/She should be able to demonstrate excellent problem-solving skills, be self-motivated, highly detail-oriented, able to context switch easily, work with vendor/offshore team(s), and be a strong team player. He/She will work with other engineers, managers, Product Management, QA, and Operations teams to develop innovative solutions that meet company initiatives with respect to functionality, perfo

Role: Senior AI Engineer Location: Hyderabad, India (Hybrid) Department: Product Development About the Role GHX is building a cutting-edge LLM-powered document understanding platform focused on classification, structured data extraction, and intelligent orchestration at scale. This is a high-impact AI engineering role where you will own the full lifecycle—from problem framing to production deployment . Initially, you will focus on prompt engineering and evaluation systems , building the quality foundation for AI performance. Over time, the role expands into agent orchestration, system architecture, and migration of rule-based systems to LLM-driven pipelines . A strong foundation in software engineering (5+ years) is essential. This role demands engineering rigor across both traditional system design and AI system behavior . Core Responsibilities 1. Prompt Engineering Design prompts for diverse document classification and extraction tasks Treat prompts as formal specifications (precise, structured, and edge-case-aware) Develop few-shot, chain-of-thought, and structured output templates Manage prompt lifecycle: versioning, testing, and rollback 2. LLM Output Evaluation Create and maintain ground truth datasets Build automated evaluation pipelines (precision, recall, field-level accuracy) Identify and resolve conceptually incorrect outputs despite surface correctness 3. AI Agent Orchestration Design multi-agent workflows for document processing Implement tool-use patterns and integrate MCP servers Optimize orchestration for scale and efficiency 4. Software Engineering Develop production-grade APIs and backend services Apply Clean Architecture / DDD principles Write maintainable, testable Python code Contribute to CI/CD, deployment, and observability systems 5. Stakeholder Collaboration Act as a bridge between business stakeholders and AI systems Translate product requirements into technical architectures Communicate system behavior, limitations, and quality

Software Engineer - III About the Role GHX is building a next-generation Intelligent Process Automation (IPA) platform powered by LLMs and AI-native document understanding. We extract structured data from complex healthcare procurement documents — Purchase Orders, invoices, contracts — at scale across cloud environments. As a member of the IPA engineering team, you will bridge strong software engineering with applied AI. You will design and ship Python services, integrate LLM APIs, build AI agents, create skills and validate the output of LLMs to build document extraction pipelines, and own evaluation infrastructure that ensures production quality. This is not a research role — it is a hands-on engineering role where AI fluency amplifies solid software craft. Core Responsibilities Python Development & Automation Build and maintain Python-based automation services and IPA workflows Develop platform-agnostic solutions supporting future migration across automation tooling Build reusable libraries, frameworks, and components for automation projects Integrate automation solutions with REST APIs and enterprise applications Deploy and monitor automation bots on AWS (Lambda, ECS, SQS, S3) AI & LLM Integration Integrate LLM APIs (like Anthropic Claude, OpenAI, Azure AI) into production pipelines Design classification and extraction prompts for diverse document types (POs, invoices, contracts) Write prompts that function as formal specifications — unambiguous, edge-case-aware Build and iterate few-shot, chain-of-thought, and structured output templates Own prompt library versioning, rollback strategy, and prompt lifecycle management AI & LLM Integration Integrate LLM APIs (like Anthropic Claude, OpenAI, Azure AI) into production pipelines Design classification and extraction prompts f

Role Summary: GHX India seeks a trustworthy, highly motivated and detail-oriented individual. The Credentialing Analyst will be primarily responsible for analyzing and processing healthcare documents submitted by vendor representatives for registration. Responsibilities: Reports to Manager/Supervisor of Product Operations Maintain the appropriate quality score when processing documents Ability to process the appropriate number of documents per hour Ability to turn documents around in the appropriate turnaround time Process multiple document queues Effectively balance multiple tasks and roles Other responsibilities, as assigned. Skills & Abilities: Efficiency, organization, and effective time management Strong written skills Attention to detail Education and Experience- A bachelor’s degree is required Healthcare/Laboratory/Pathology experience preferred Experience in Data entry/ Document verification favored Experience in back-office support preferred Minimum 1+ years of experience in Data Quality Assurance, Data/Document Management, Healthcare domain, or other medical background. GHX: It's the way you do business in healthcare Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes. GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring together healthcare providers and manufacturers and distributors in North America and Europe - who rely on smart, secure healthcare-focused technology and comprehensive data to automate their business processes and make more informed decisions. It is our passion and vision for a more operationally efficient healthcare supply chain, helping organizations reduce

Opportunity Overview: As a member of the Solutions Configuration Management team you will be contributing to the analysis, documentation, implementation and maintenance of the configurations needed to enable Cohere Health solutions to meet the needs of our customers. You’ll work closely with members of the Product, Engineering, Implementation, and Testing teams to scope, document, implement and deliver configuration items (CIs) needed to meet the requirements as part of the implementation and maintenance of our solutions. What you’ll do: Own the execution of configuration deliverables for assigned projects, including client implementations and launches Analyze requirements and translate them into scalable configuration solutions Create and maintain clear documentation, including configuration specifications and standard operating procedures Collaborate with Product, Engineering, Implementation, and Testing teams to ensure configurations meet client and system requirements Validate and troubleshoot configurations in partnership with QA and testing teams Manage configuration items (CIs) throughout their lifecycle, ensuring timely and accurate delivery Required Qualifications: Must-haves 2+ years of professional experience in a Configuration role Hands-on experience working with structured data formats (JSON, XML) Familiarity with APIs Experience troubleshooting configuration issues in production or pre-production environments Experience working with ticketing systems (Jira, ServiceNow, etc.) Strong written and verbal communication skills in English, with the ability to clearly document technical configurations and decisions Experience with project management Experience with data exchange/transformation and/or integration/interoperability analysis and implementation Proven experience in Excel, including advanced functions and data analysis Knowledge of version control systems Knowledge of configuration management tools Self-starter, able to work independently, able to

Opportunity Overview: Cohere’s Provider & User Management team is responsible for ensuring that provider organizations are supported throughout their lifecycle of using the platform. This role will play a critical part in enabling successful onboarding across our client base by capturing, analyzing, and translating real-world workflows into actionable insights for downstream teams. The Business Analyst role is an entry-level position focused on pre-implementation readiness. This individual will support client onboarding by conducting workflow shadowing, time studies, and documentation of current-state processes within provider organizations and health plans. As a Business Analyst , you will work closely with cross-functional teams at Cohere to deeply understand our mission and the providers and health plans engaging with our products and services. You will gain exposure to client user perspectives—including clinical reviewers (e.g., RNs, LPNs) and operational teams—and the workflows they operate within. You will leverage this knowledge to document and synthesize insights that inform Client User Training, Provider Training, Product, and Provider Success Account Management teams. Your work will directly impact how Cohere prepares providers and clients for implementation and scales best practices across the organization. The Business Analyst will be highly organized, curious, and detail-oriented, with a strong ability to observe, document, and communicate workflows in a way that drives clarity and action. What you’ll do: Conduct pre-implementation workflow shadowing sessions with provider organizations and health plan teams Perform time studies and analyze current-state workflows to identify inefficiencies and variation Document workflows, processes, and user behaviors in a clear and structured format Translate observations into actionable insights and recommendations for downstream teams (e.g., Client Training, Provider Training, Product) Partner with cross-functi

About the Role We are seeking an experienced Azure DevOps Engineer to design, implement, and maintain CI/CD pipelines, cloud infrastructure, and automation solutions on Microsoft Azure. This role bridges development and operations, ensuring reliable, secure, and scalable delivery of applications and infrastructure. Location: Hyderabad-India-Onsite Duration: Fulltime Responsibilities Design, build, and maintain CI/CD pipelines using Azure DevOps (Pipelines, Repos, Artifacts, Boards) Architect and manage Azure cloud infrastructure using Infrastructure as Code (ARM templates, Bicep, or Terraform) Automate build, test, and deployment processes across multiple environments Implement and manage containerization and orchestration (Docker, Azure Kubernetes Service) Monitor system performance, availability, and security using Azure Monitor, Log Analytics, and Application Insights Collaborate with development, QA, and security teams to streamline release management Implement Azure security best practices, identity management (Azure AD/Entra ID), and network architecture Manage cost optimization and governance across Azure subscriptions Troubleshoot production issues and support incident response Document infrastructure, pipelines, and operational procedures Required Qualifications Microsoft Certified: Azure Solutions Architect Expert, Azure Administrator Associate (required) 3+ years of hands-on experience with Azure DevOps and Azure cloud services Strong experience with Infrastructure as Code (Bicep, ARM templates, or Terraform) Proficiency scripting in PowerShell, Bash, or Python Experience with Git version control and branching strategies Solid understanding of networking, security, and identity concepts in Azure Experience with containerization (Docker) and orchestration (Kubernetes/AKS) Familiarity with monitoring and logging tools (Azure Monitor, Application Insights) Preferred Qualifications Additional certifications: Azure DevOps Engineer Expert Experience with multi-

Envoy Global is a proven innovator in the global immigration space. Our mission combines our industry-leading tech platform with holistic service to streamline, simplify and expedite the immigration process for employers and individuals. We have an exciting opportunity within Envoy Global’ s Automation Engineering team for a highly skilled QA Analyst to join us on a full-time, permanent basis. In this role, you will contribute to the design, development, and maintenance of C#-based automation frameworks using Playwright and Reqnroll/SpecFlow to support testing across web, API, and database layers. You will collaborate closely with developers, business analysts, and product teams to ensure the delivery of high-quality software through effective test automation and quality assurance practices. As our QA Analyst, you will be required to: Develop, execute, and maintain automated test scripts using C# and Playwright. Create and maintain BDD scenarios using Reqnroll (SpecFlow) aligned with business requirements. Contribute to the enhancement of automation frameworks and reusable test components. Develop and execute automated tests for UI, API, backend services, workflows, and data validations. Perform functional, regression, smoke, integration, API, and end-to-end testing. Validate backend workflows and perform SQL queries for data verification. Identify, document, and track defects while supporting root-cause analysis activities. Ensure adequate test coverage and adherence to established quality standards. Support the integration and execution of automation suites within CI/CD pipelines such as Jenkins, Azure DevOps, or GitHub Actions. Use Git for source code management and collaboration. Participate in automation code reviews and contribute to continuous improvement initiatives. Work closely with Developers, Product Owners, Business Analysts, and QA team members in an Agile/Scrum environment. Participate in sprint planning, backlog refinement, daily stand-u

Opportunity Overview We're hiring a Data Architect who will serve as a senior technical leader responsible for architecting the complete lifecycle data moves, transforms, and creates value across every product line we operate. You'll own the blueprint for our enterprise data lakehouse - setting the standards, governance, and strategy that elevate data from a byproduct of operations to the company's most valuable asset. We need someone who pairs deep mathematical and logical modeling expertise with a builder's instinct - someone who codes, prototypes fast, and proves out next-generation AI data architectures before committing the organization to them. This role would need experience with US healthcare domain data. What You'll Do Semantic Layer Governance: Set the technical standard and reference architecture for a universal semantic layer across multiple distinct data products, ensuring unified definitions of complex metrics and healthcare business entities across Architect the Enterprise Context Layer: Define, scale, and govern the global Enterprise Ontology (abstract domain maps, business entity classes, and entity-relationship rules) that serves as the backbone for Agentic AI systems. AI-Native Prototyping : Leverage modern AI-native development environments (such as Cursor, GitHub Copilot) to rapidly generate, iterate, and document blueprints for complex enterprise data schemas and metadata layers. Security & Compliance Leadership : Embed regulatory compliance (HIPAA, FHIR) and security principles into platform design. Partner with security and compliance teams to ensure architectural decisions support audit readiness and risk mitigation. Cross-Functional Collaboration : Partner with executive leadership, product management, and engineering to translate business requirements into scalable technical solutions. Communicate complex architectural concepts to both technical and non-technical stakeholders. ISMS roles and responsibilities Good knowledge of Informati

Opportunity Overview: We are seeking a Sr. Data Engineer to help drive the technical vision of our Data Engineering team as we scale our infrastructure, services, and architecture. This role is ideal for someone who blends deep technical expertise with strategic thinking and cross-functional influence. As a Sr. Data Engineer, you will partner closely with other data and analytics engineers, architects, product leaders, and business stakeholders to evolve our data infrastructure in support of high-trust, scalable, and business-aligned outcomes. You’ll also serve as a force multiplier across teams; raising the bar for data engineering excellence and accelerating the maturity of our data platform capabilities. What you’ll do: Develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from multiple source systems into enterprise data platforms. Ensure pipelines are scalable, reusable, fault-tolerant, and optimized for batch and near real-time processing requirements. Develop interactive dashboards, scorecards, and KPI reporting solutions using BI tools. Deliver executive, operational, and analytical reporting aligned with business goals. Identify repetitive manual reporting processes and automate them using scripting, workflow orchestration, scheduling tools, and dashboard refresh mechanisms to improve efficiency, accuracy, and turnaround time. Collaborate with internal stakeholders and leadership teams to understand data integration and reporting needs, define KPIs, document business rules, and translate requirements into scalable technical solutions. Implement data validation checks, reconciliation controls, lineage documentation, metadata standards, and governance policies to maintain trusted, secure, and compliant data assets across the organization. Provide technical guidance, code reviews, best practices, and mentor junior team members. Investigate and resolve production incidents related to pipelines, delayed reports, data mismatches

Opportunity Overview: The Intake Specialist role is a key position supporting US healthcare operations by ensuring accurate and timely processing of patient and provider requests. In this role, you will support healthcare providers, internal clinical teams, and operations teams by collecting, reviewing, and processing information required for healthcare services and prior authorization workflows. As an Intake Specialist, you will manage healthcare requests received through multiple channels including phone, email, fax, and online platforms. You will be responsible for gathering required documentation, validating information, updating systems accurately, and ensuring requests are processed within defined turnaround times. This role requires strong communication skills, attention to detail, problem-solving ability, and the ability to work effectively in a fast-paced healthcare operations environment. What you’ll do: Provider/Customer Calling Support (Inbound & Outbound) Handle inbound and outbound calls with US healthcare providers and stakeholders. Process incoming healthcare requests received from US providers through Calls , fax, email, and electronic systems. Review medical documentation for completeness and accuracy. Validate required information needed for prior authorization and clinical review. Enter and update patient, provider, and request details accurately in healthcare systems. Identify missing information and coordinate with appropriate teams/providers for resolution. Maintain high standards of accuracy, quality, and productivity. Follow HIPAA guidelines and maintain confidentiality of patient information. Support process improvements and operational initiatives. Provide professional and timely support while addressing provider questions and requests. Document all interactions accurately in internal systems. Provide first-level resolution whenever possible. Escalate complex issues to appropriate teams. Maintain a customer-focused approach during ever