Brillio

Therapist

• Define and communicate product vision, roadmap, and release plans
• Own and manage the product backlog, ensuring it is prioritized based on value and impact
• Collaborate with business stakeholders to gather requirements and feedback
• Work closely with Scrum teams during sprint planning, reviews, and retrospectives
• Translate business requirements into functional and technical specifications

Campaign Product Owner, MTM – Medication Therapy Management

Data Engineer

• Building state of the art pipelines and data models that are at the heart of the studio decision-making process.
• Working on large-scale lakehouse and warehouse analytics systems that process data feeds in real-time and batch processes.

Lead Data Engineer

Architect

• Define the architecture for a hyperscaler and LLM-agnostic product built to run on customer infrastructure - not a platform-locked implementation.
• Design the semantic data core: graph-based modeling with typed relationships, multi-tenant isolation, and provenance.
• Architect agentic services - tool-using LLM agents, orchestration, guardrails, and retrieval grounding - as first-class product capabilities.
• Set standards for async API design, state machines, code generation/templating, and draft-to-active data lifecycles.
• Lead technical delivery end-to-end, mentor engineers, and make the build-vs-buy and model-selection calls.

Principal Architect – CPQ Product

Cloud Engineer

• Design, develop, and maintain Node.js applications running on AWS Lambda.
• Build and enhance IVR and self-service workflows using Amazon Connect and Amazon Lex.
• Develop integrations between contact center platforms and enterprise applications, databases, CRM systems, and third-party APIs.
• Create reusable Lambda services to support authentication, routing, customer identification, case management, and self-service transactions.
• Develop RESTful APIs and event-driven architectures using AWS services.
• Implement secure coding practices, including encryption, authentication, authorization, and data protection controls.
• Participate in CI/CD pipeline development and deployment automation using GitHub and AWS DevOps services.
• Troubleshoot production issues and optimize application performance, scalability, and reliability.
• Collaborate with solution architects, contact center engineers, QA teams, and business stakeholders throughout the software development lifecycle.
• Develop automated unit, integration, and regression tests for serverless applications.
• Create technical documentation, deployment procedures, and operational runbooks.

Senior Backend Developer – Node.JS, AWS

QA Engineer

• Design and maintain automated test scripts for Amazon Connect call flows.
• Use Cyara to simulate real-world voice interactions and stress-test IVR components.
• Validate performance and functionality of contact center solutions.
• Integrate API-based tests for inbound/outbound call simulations.
• Develop and manage test cases, plans, and suites using QTest.
• Track defects, analyze test results, and report quality metrics.
• Collaborate with QA and development teams to resolve issues and improve testing processes.
• Work with cross-functional teams to integrate testing into the CI/CD pipeline.
• Participate in agile ceremonies and contribute to refining testing strategies.
• Ensure all test documentation is complete and adheres to industry standards.

IVR Automation Tester, Cyara

Software Engineer

• Application development and enhancement on Mainframe platform.
• Work on data movement from Mainframe to PostgreSQL/SQL databases.
• Develop and support ETL processes.
• Perform reporting and data-related activities.
• Provide production support, including participation in on-call rotation.

Mainframe Developer

• Analyse and resolve match and merge issues, duplicate records and missing Golden records.
• Monitor MDM batch jobs and troubleshoot job failures or long-running jobs.
• Develop Java modules for exception handling, threading, configuration, and integration.
• Write and optimize SQL/PL-SQL queries for data extraction, transformation, and performance tuning.
• Support Server patching and validation Activities in prod and non-prod environments.
• Create change request(CRs), test evidence, and deployment documents.
• Integrate with APIs (SOAP & REST), XML/JSON, and JMS MQ for seamless data exchange.
• Collaborate with cross-functional technical teams to deliver robust integration and governance solutions.

Informatica MDM Developer

• Lead the architecture and design of enterprise Data & AI platforms supporting analytics, reporting, machine learning, and AI-driven business capabilities.
• Define scalable data architecture, governance, security, and operational frameworks for modern cloud-native platforms.
• Partner with business and technology stakeholders to identify and prioritize data modernization, AI, and automation opportunities.
• Architect and guide implementation of AI, Generative AI, and Agentic AI solutions leveraging enterprise data assets.
• Establish architecture standards, best practices, and technology roadmaps across data engineering and AI initiatives.
• Provide technical leadership and mentorship to engineering, platform, and AI teams.

Databricks Architect

Business Intelligence Developer

• Lead BI and AI-driven analytics initiatives across Pharma/Life Sciences projects.
• Design and implement dashboards, KPIs, and reporting solutions using tools such as Power BI, Tableau, Qlik Sense, or similar BI platforms.
• Drive client discussions, solution workshops, and executive presentations related to analytics, AI adoption, and reporting strategies.
• Recommend innovative BI and AI approaches to improve decision-making, automation, forecasting, and business insights.
• Act as a trusted advisor to clients for analytics transformation and AI-driven reporting initiatives.
• Analyze pharma commercial, patient, sales, marketing, and omnichannel datasets to generate actionable insights.
• Mentor junior team members and provide technical and functional guidance.
• Present analytical findings and recommendations to leadership and business teams.

Senior BI, AI, Pharma Specialist

• Validate IVR call flows, routing logic, and customer journeys
• Perform end-to-end testing of inbound, outbound, and callback flows
• Test voice, chat, and self-service interactions for accuracy and usability
• Test integrations between Amazon Connect, AWS services, and backend systems
• Validate APIs, Lambda functions, and data flows across systems
• Ensure correct handling of user inputs, fallback scenarios, and edge cases
• Design detailed test cases, test scenarios, and test data
• Execute functional, regression, system, and integration testing
• Perform smoke and sanity testing during releases
• Develop and maintain test automation scripts where applicable
• Use tools like Cyara, Selenium, or API testing frameworks for validation
• Identify, log, track, and retest defects
• Work closely with developers and BA teams for issue resolution
• Prepare test reports, status updates, and quality metrics
• Ensure high-quality delivery aligned with business requirements
• Validate compliance with security and data standards
• Participate in UAT support and production validation

IVR QA Engineer

AI Engineer

• Focus on AI Architect profiles rather than Senior/Lead Data Scientist profiles and with a Pharma/Life Sciences background, with Snowflake Cortex as a good-to-have skill.
• Work Type: Hybrid with min 4 days onsite per week

AI Architect

• Coach and mentor teams to build depth in modern BI, semantic modeling, and AI readiness
• Contribute to practice growth through IP creation, accelerators, pre-sales support, and thought leadership
• Act as a technical authority and solution architect, guiding BI design decisions
• Enforce best practices and partner closely with business, data engineering, and cloud teams
• Deliver scalable, secure, and high‑performance analytics solutions

Senior BI Architect

Manager

• Serve as trusted advisor for senior client stakeholders
• Lead consulting engagements and drive value realization
• Design and oversee enterprise AI solutions
• Build production-grade ML pipelines
• Mentor technical teams and establish engineering excellence

Senior Engagement Manager

Full-stack Engineer

• Create and maintain SAP BW Data models and Reports
• Build Data Extraction, Transformation, and Reporting Logic
• Support Data Loads, Issue Resolution, and Performance Tuning
• Manage Enhancements, Change Requests
• Work with business teams to convert Reporting needs into SAP BW Solutions
• Prepare technical design documents, support handover documents, deployment notes, and knowledge transition materials
• Participate in requirement discussions, impact analysis, unit testing, UAT support, and production deployment activities
• Should have excellent communication skills.