AI Engineer

• Design, develop, and deploy Generative AI and machine learning solutions using large language models and modern AI frameworks.
• Implement LLM fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and model optimization techniques.
• Deploy and manage AI/ML pipelines and GenAI applications in production environments using cloud platforms such as Azure or GCP.
• Build and maintain agentic AI systems leveraging modern orchestration and agent frameworks.
• Work with large datasets to build data pipelines and ensure effective model training and evaluation.
• Develop AI solutions using Python and modern ML libraries.
• Manage deployments and infrastructure in Linux-based environments.
• Ensure secure processing and governance of sensitive data, including PII and PHI, adhering to enterprise security and compliance standards.
• Optimize AI models and infrastructure for performance, scalability, reliability, and cost efficiency.
• Collaborate with cross-functional teams to integrate AI models into enterprise applications and production systems.
• Document model architectures, experiments, deployment pipelines, and operational processes.
• Stay current with emerging developments in Generative AI, LLMs, and AI engineering practices.

Senior AI Engineer

Software Engineer

• Serve as the primary AEP/RTCDP subject matter expert, advising on end-to-end architecture, governance, scalability, and best practices.
• Define and build data models (XDM schemas), datasets, mappings, and identity strategies (namespaces, stitching rules, profile merge policies) to power high-quality customer profiles and segmentation.
• Plan and implement data ingestion pipelines (batch, streaming via Edge Network, Web/Mobile SDKs, APIs) using AEP Sources, Data Prep, and Transformation capabilities.
• Administer AEP sandboxes, product profiles, roles, and permissions (via Admin Console/AEP) to enforce least-privilege access controls.
• Create and maintain solution documentation: dataflow diagrams, identity maps, schema catalogues, destination activation models, and runbooks.
• Build segmentation strategies (Edge, streaming, batch) and orchestrate activation to AEP destinations (adtech, Adobe campaign, Target, CRM, custom destinations/APIs).
• Architect Federated Audience Composition (FAC) and federated data access patterns to enable cross-system audience building and governed data usage.
• Align AEP/RTCDP implementation with enterprise data governance and global privacy policies (GDPR, CCPA, etc.).
• Integrate with Adobe Launch, Adobe Analytics, Journey Optimizer, Campaign, Target, Analytics to deliver omni-stack use cases etc
• Support QA, deployment, and troubleshooting during implementation cycles.

AEP Developer – Architect

Auditor

• Conduct comprehensive reviews of inpatient medical records to validate that assigned ICD-10-CM/PCS codes and DRG classifications accurately reflect the documented clinical conditions and procedures.
• Ensure compliance with IPPS methodology, CMS guidelines, and official coding rules when determining DRG assignment.
• Verify accuracy and specificity of diagnoses, procedures, POA indicators, and discharge disposition.
• Identify documentation gaps and collaborate with clinical teams to obtain necessary clarifications for accurate code assignment.
• Mentor, coach, and support coding staff, providing guidance on complex DRG and inpatient coding scenarios.
• Deliver feedback and ongoing education to both coders and Clinical Documentation Improvement specialists to improve coding quality and documentation completeness.
• Perform routine coding quality audits to assess accuracy, identify trends, and recommend corrective actions.
• Analyze audit findings and prepare detailed reports, highlighting errors, patterns, and opportunities for improvement.
• Stay updated on regulatory changes, payer guidelines, and industry best practices related to IPPS, DRG validation, and inpatient coding.
• Participate in cross-functional meetings with coding, CDI, compliance, and operations teams to strengthen documentation and coding accuracy across the organization.

Executive Auditor, DRG

Consultant

• Leading PMO function managing multiple technology and cross-functional projects by demonstrating best project management practices, stakeholder and team management skills
• Establish and own project management best practices, tools and techniques, SOPs etc.
• Adept in creating management decks, reports, R&D on enterprise technology trends, good presentation skills
• Planning, Monitoring and Controlling multiple projects using organizational processes and techniques
• Manage relationships with internal stakeholders (Enterprise and business functions, Cyber Security, Corporate Audit etc.) and external partners (OEM, Implementation partners)
• Quickly adaptable to organization's process framework, enterprise environment with a self-starter and go getter attitude
• Managing team’s productivity, velocity, skills and talent development program within function
• Managing enterprise dashboard, management reports and various organization’s event calendar in line with associated deliverables
• Work on partner consolidation for various streams of managed support and tech CoEs
• Keep a hawk eye on all projects phases, deliverables, quality and timelines to gets project delivered on time
• Identify and raise risks to supervisors on time at different level and phases of project development
• Candidate must have an innovator’s mindset to research, introduce new trends and skills to team members and help in upskilling so that timely inclusion of new ideas / technologies can be planned in effective manner

Principal Consultant

Application Engineer

• Provide technical support for .NET applications
• Troubleshoot database-related issues
• Conduct user training sessions
• Maintain documentation of applications

Associate – Application Engineer

Recruitment

Recruitment Coordinator

Manager

• Oversee the partner relationships.
• Responsible for implementing strategies to optimize partner performance, mitigate contract-related risks, and ensure contractual obligations are met.
• Ensure contract compliance by implementing robust contract management processes and controls.
• Conduct regular contract audits and reviews.

Assistant Manager – Global Technology

Attorney

• Work closely with clients to understand their needs, challenges and objective.
• Conduct thorough research, data analysis and create supplier performance dashboards.
• Past due supplier invoice reconciliation and invoice processing
• Effectively communicate findings/insight to clients and Internal stake holders though reports, presentations or any other media.
• Candidate should be able to understand contracts (MSA, SOW etc.) and contract language.

Assistant Manager – Legal Support Services

• Set departmental goals, manage budgets, lead cross functional teams, and ensure compliance with policies.

Senior Manager

Product Analyst

• Serve as a critical bridge between business stakeholders, analytics teams, and data management groups.
• Combine strong data analysis capabilities with core business analysis skills to ensure that data is effectively leveraged to inform strategic decision making, improve processes, and influence solution design.
• Champion data stewardship and play a key role in eliciting requirements, documenting business processes, and facilitating alignment across technical and business teams.
• Collect, clean, and analyze data from multiple sources to uncover trends, patterns, and actionable insights.
• Translate analytical findings into clear, business‑friendly insights that support decision‑making.
• Elicit, document, and manage business, functional, and non‑functional requirements through techniques such as interviews, workshops, process analysis, and user story creation.
• Conduct stakeholder analysis to understand needs, roles, dependencies, and expectations across teams.
• Support prioritization by assessing business value, impacts, complexity, and risk.
• Ensure traceability of requirements from intake through development, testing, and deployment.
• Collaborate with data engineering analysts, architects, and engineers to ensure solutions reflect business context and use cases.
• Define testing acceptance criteria, support user validation, and provide structured feedback for continuous improvement.
• Monitor and enhance data quality through profiling, validation, remediation, and alignment with organizational priorities.

Manager – Data Product Analyst

Data Engineer

• Lead the design, development, and deployment of scalable cloud solutions on AWS.
• Architect and implement enterprise data solutions using Microsoft Fabric, including analytics, data pipelines, and integrated lakehouse scenarios.
• Implement and manage data governance, cataloging, and compliance using Microsoft Purview.
• Define technical standards, best practices, and architecture patterns across cloud and data projects.
• Mentor and guide junior engineers, ensuring high-quality, maintainable, and secure code.
• Collaborate with business and data stakeholders to align technical solutions with organizational objectives.
• Drive innovation in cloud, data, and governance initiatives to support strategic business goals.

Data Engineer – AWS, MS Fabric, Purview

Business Analyst

• Analyze and document current-state (AS‑IS) functional and technical workflows of existing Credit Risk models and applications
• Lead requirements workshops with Risk, Data, Technology, and Model Development teams
• Define and document future-state (TO‑BE) requirements for re‑platforming on GCP
• Create detailed functional requirements, technical requirements, and data mapping documents
• Translate business needs into user stories, acceptance criteria, data specifications, and interface contracts
• Develop end-to-end process flows, workflow diagrams, and system interaction maps using tools such as Visio, Lucidchart, Draw.io, etc.
• Document data lineage, data transformation logic, and upstream/downstream dependencies
• Identify process gaps, inefficiencies, risks, and improvement opportunities in the current design
• Perform hands-on data analysis using SQL to validate data requirements, profiling, and transformation logic
• Validate data quality, assess historical patterns, and support remediation of data issues
• Support model teams in understanding data availability, structure, gaps, and required transformations for GCP migration
• Work closely with cloud engineering teams to define technical components required to move workloads to GCP
• Support translation of requirements into GCP-native patterns (e.g., BigQuery, Cloud Storage, Dataflow, Pub/Sub)
• Assist in preparing migration plans, testing strategy, and validation of cloud-based solutions
• Participate in sprint planning, backlog grooming, and UAT planning
• Serve as the bridge between business users, data teams, model developers, and GCP engineering teams
• Ensure alignment between regulatory risk requirements and technical implementation
• Support project governance, RAID management, and reporting activities

Technical Business Analyst – GCP, Banking

• Supervise and manage the daily activities of the surgery coding and audit teams, including in-house and contract auditors.
• Allocate workload, monitor performance, and ensure timely completion of assigned tasks in alignment with project timelines.
• Conduct regular team meetings to communicate updates, review performance, and address challenges or process changes.
• Foster a positive and productive work environment that encourages collaboration and accountability.
• Ensure that coding audits meet defined accuracy, quality, and productivity benchmarks.
• Review audit results, identify trends or recurring issues, and implement corrective actions to maintain quality standards.
• Collaborate with Quality Assurance and Training teams to address performance gaps through targeted coaching and retraining.
• Monitor operational workflows to identify bottlenecks and recommend process enhancements for greater efficiency.
• Support the development and implementation of best practices in surgical coding operations.
• Ensure seamless coordination between coding, auditing, and training functions to maintain alignment with business objectives.
• Ensure strict adherence to HIPAA, OIG, and other compliance and confidentiality regulations.
• Maintain and track key performance metrics, preparing regular reports for senior management.
• Address audit discrepancies, process deviations, and non-compliance issues promptly and effectively.
• Act as a point of contact between the audit team, management, and clients to ensure smooth communication and issue resolution.
• Participate in client calls and internal reviews to discuss project status, performance, and quality outcomes.
• Support audit planning and resource allocation based on client requirements and project priorities.

Assistant Manager – Coding Auditor

• Define and implement the quality governance framework across processes and business units
• Lead quality audit strategy, sampling methodology, and scoring frameworks
• Oversee quality audits for calls, emails, chats, and case handling across teams
• Ensure compliance with client, regulatory, and internal quality standards and policies
• Publish executive-level quality dashboards, reports, and business insights
• Analyze quality trends, identify systemic gaps, and drive corrective action plans
• Partner with Operations, Training, WFM, and Process Excellence teams to improve performance
• Lead onshore and offshore calibration sessions to align scoring standards
• Manage and develop the Quality Excellence team, including Assistant Managers and Analysts
• Set performance goals, conduct reviews, and provide coaching and mentoring
• Drive continuous improvement initiatives using Six Sigma/Lean methodologies (if applicable)
• Handle escalations and quality disputes with internal teams and clients
• Present quality performance and strategic recommendations to senior leadership
• Ensure data governance, audit documentation, and SOPs are maintained and updated
• Support client governance forums, audits, and certification requirements
• Monitor and mitigate operational and compliance risks related to quality
• Develop and implement quality training frameworks and knowledge management
• Influence stakeholder decisions using data-driven insights and business storytelling
• Manage multiple initiatives and priorities under tight timelines and business pressure
• Foster a culture of quality, accountability, and customer-centricity across teams

Quality Excellence Manager

DevOps Engineer

• Collaborate closely with data teams to support the development and deployment of innovative and efficient data solutions.
• Respond to and fulfill platform requests from various data teams of the client, including internal business stakeholders, data analytics professionals, data engineers, and quality assurance teams.

EXL