9 Phi Jobs

The Technical Architect will have to be execution-focused, supporting the full implementation lifecycle, from scoping to deployment in an evolving ecosystem consisting of clients and partners. You will be responsible for successfully solutioning the enterprise application E2E, designing and building the Salesforce Industry-specific Life Sciences, Health industry solutions. As a Technical Architect, you will become a deep product expert with Industry Salesforce Life Sciences Cloud (including Health Cloud) applications, and work closely with our sales and delivery teams to ensure customer success. You will lead the technical design and implementation of Salesforce solutions, ensuring compliance with industry regulations (HIPAA, GxP, etc.) and alignment with business goals. The ideal candidate combines deep Salesforce expertise with a strong domain understanding of pharmaceuticals, biotech, medtech, or healthcare providers. You will maintain an ongoing comprehensive understanding of the cloud-computing ecosystem. Your responsibilities will include serving as the technical lead for Salesforce Life Sciences Cloud implementations, including Health Cloud and other related Salesforce products. You will architect and design scalable, secure, and high-performance Salesforce solutions that align with industry best practices and compliance standards (e.g., HIPAA, PHI, GxP). You will define and oversee data models, security architecture, API integrations (FHIR/HL7), and performance optimization strategies. Leading a team of developers, you will drive optimized solutions across multi-cloud implementations, ensuring seamless integration between Health Cloud, Service Cloud, and Experience Cloud and Omnistudio framework. You will lead functional and technical workshops, demonstrating leadership skills in designing, delivering, testing, and deploying. Expertise in User Journey preparations, User Story reviews, Data Modeling, Apex Design Patterns, LWC, and other modern UI techniques will be essential. As a trusted advisor to the client, you will drive conversations with their Enterprise Architects and business partners that shape the architectural vision and establish a program architectural roadmap. Guiding customers, partners, and implementation teams on how best to implement digital transformation with the Salesforce platform using Salesforce Industries will be a key responsibility. Establishing trust with customers" leadership, promoting and/or implementing standard processes with SFI and Salesforce, and building out sophisticated business processes using native Salesforce Industries technology and the toolkit of the platform and integration tools are also critical tasks. You will research, recommend, and implement AppExchange applications and Salesforce upgrades to help meet business needs. Successfully creating custom enterprise applications using Salesforce.com and integrating Salesforce.com with other enterprise systems will be part of your role. Working closely with Delivery Managers, Solution Architects, and directly with clients to architect technology solutions to meet client needs is also expected. Highlighting and leading risk areas in the solution in a proactive manner and committing to seeing an issue through to completion will be essential for this position. Qualifications: - 10+ years of experience in developing technology solutions. - 3+ years of experience in handling client-facing projects in positions of increasing responsibility in the context of systems development and related business consulting. - Expertise in one or multiples of Salesforce Health Cloud, Sales/Service/Experience Cloud, and Vlocity Omnistudio. - Proven experience architecting enterprise-level Salesforce solutions in the life sciences or Veeva product or healthcare industry. - Strong understanding of compliance and regulatory requirements including HIPAA, GxP, PHI, HL7, and FHIR. - Experience in the healthcare domain (Preferred) - Integration Architecture (Must have) - Platform Security (Must have) - Identity and Access Management / Integration Security - Sharing and Visibility (Must have) - Data Architecture and Management (Must have) - Architectural Design Patterns (Must Have) - Apex Design Patterns (Must Have) - Salesforce/Apex, Triggers, Lightning Flows, Lightning, LWC, and experience with modern web and mobile technologies (HTML, CSS, JavaScript, Web Components, others) - Salesforce Certification Preferred (Admin, Developer, Sales, and Service Clouds, Application Architect, System Architect) - OmniStudio Developer/Consultant - Health Cloud Certification (Good to have),

Build ETL jobs using Fivetran and dbt for our internal projects and for customers that use various platforms like Azure, Salesforce and AWS technologies Build out data lineage artifacts to ensure all current and future systems are properly documented Required Candidate profile exp with a strong proficiency with SQL query/development skills Develop ETL routines that manipulate & transfer large volumes of data and perform quality checks Exp in healthcare industry with PHI/PII

At PwC, our team focused on data and analytics applies data to drive insights and guide strategic business decisions. Utilizing advanced analytics techniques, we assist clients in optimizing operations and achieving their goals. As a member of our data analysis team, you will specialize in leveraging sophisticated analytical methods to extract valuable insights from extensive datasets, enabling data-driven decision-making. Your role will involve utilizing skills in data manipulation, visualization, and statistical modeling to support clients in resolving intricate business challenges. We are seeking a visionary Generative AI Architect at the Manager level to join PwC US - Acceleration Center. In this leadership position, you will be responsible for designing and implementing cutting-edge Generative AI solutions using technologies such as Azure OpenAI Service, GPT models, and multi-agent frameworks. Your role will involve driving innovation through scalable cloud architectures, optimizing AI infrastructure, and leading cross-functional teams in deploying transformative AI solutions. The ideal candidate will possess deep expertise in Generative AI technologies, data engineering, Agentic AI, and cloud platforms like Microsoft Azure, with a strong emphasis on operational excellence and ethical AI practices. Responsibilities: - **Architecture Design:** Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms and lead the development of AI agents capable of orchestrating multi-step tasks. - **Model Development And Deployment:** Fine-tune pre-trained generative models, develop data collection and preparation strategies, and deploy appropriate Generative AI frameworks. - **Innovation And Strategy:** Stay updated on the latest Generative AI advancements, recommend innovative applications, and define and execute AI strategy roadmaps. - **Collaboration And Leadership:** Collaborate with cross-functional teams, mentor team members, and lead a team of data scientists, GenAI engineers, devops, and software developers. - **Performance Optimization:** Monitor and optimize the performance of AI models, agents, and systems to ensure robustness and accuracy, as well as optimize computational costs and infrastructure utilization. - **Ethical And Responsible AI:** Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks, and implement safeguards against bias and misuse. Requirements: - Bachelors or masters degree in computer science, Data Science, or related field. - 8+ years of relevant technical/technology experience, with expertise in GenAI projects. - Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. - Experience with GenAI foundational models and open-source models. - Proficiency in system design for Agentic architecture and real-time data processing systems. - Familiarity with cloud computing platforms and containerization technologies. - Strong leadership, problem-solving, and analytical abilities. - Excellent communication and collaboration skills. Nice To Have Skills: - Experience with technologies like Datadog and Splunk. - Familiarity with emerging Model Context Protocols and dynamic tool integration. - Relevant solution architecture certificates and continuous professional development in data engineering and GenAI. Professional And Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree.,

EXO Edge (www.exoedge.com) is a specialized provider of Legal, Accounting and IT Services to the Global industry. With over 900+ employees onboarded in the last 4 years, EXO Edge is one of the fastest-growing companies in Mohali/Chandigarh. We are coming to Gurugram for a mass walk-in drive to hire 50+ Document Review professionals and I am inviting you to come and meet us at the walk-in drive. Below are the details: Job Details: Contract Duration: 1-2 months Compensation: INR1400 per day + OT Project Start Date: 21 July 2025 Walk-in Date & Time: Sunday, July 20 10:00 AM to 5:00 PM Monday, July 21 10:00 AM to 5:00 PM Walk-in Venue & Job Location: Gurugram. Springhouse Coworking. LG 006, DLF, GRAND MALL, Metro Station, Mehrauli-Gurgaon Rd, near Sikanderpur, Sector 28, DLF Phase 1, Gurugram, Haryana 122001 Interview Process: HR Round - Operations Round 1 - HR Round Want to know more about EXO Edge: Company Website: www.exoedge.com Virtual Office Tour: https://lnkd.in/dPqiZfUR Connect with us: Hiring@exoedge.com Please apply on this job and our team will connect with you to schedule an in-person interview. Note: This drive is strictly for candidates with prior Data Breach/Cyber Incident Response Review experience.

Build ETL jobs using Fivetran and dbt for our internal projects and for customers that use various platforms like Azure, Salesforce and AWS technologies Build out data lineage artifacts to ensure all current and future systems are properly documented Required Candidate profile exp with a strong proficiency with SQL query/development skills Develop ETL routines that manipulate & transfer large volumes of data and perform quality checks Exp in healthcare industry with PHI/PII

Build ETL jobs using Fivetran and dbt for our internal projects and for customers that use various platforms like Azure, Salesforce and AWS technologies Build out data lineage artifacts to ensure all current and future systems are properly documented Required Candidate profile exp with a strong proficiency with SQL query/development skills Develop ETL routines that manipulate & transfer large volumes of data and perform quality checks Exp in healthcare industry with PHI/PII

Role Overview As a Data Governance Developer at Kanerika, you will be responsible for developing and managing robust metadata, lineage, and compliance frameworks using Microsoft Purview and other leading tools. Youll work closely with engineering and business teams to ensure data integrity, regulatory compliance, and operational transparency. Key Responsibilities Set up and manage Microsoft Purview: accounts, collections, RBAC, and policies. Integrate Purview with Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake. Schedule & monitor metadata scanning, classification, and lineage tracking jobs. Build ingestion workflows for technical, business, and operational metadata. Tag, enrich, and organize assets with glossary terms and metadata. Automate lineage, glossary, and scanning processes via REST APIs, PowerShell, ADF, and Logic Apps. Design and enforce classification rules for PII, PCI, PHI. Collaborate with domain owners for glossary and metadata quality governance. Generate compliance dashboards and lineage maps in Power BI. Tools & Technologies Governance Platforms: Microsoft Purview, Collibra, Atlan, Informatica Axon, IBM IG Catalog Integration Tools: Azure Data Factory, dbt, Talend Automation & Scripting: PowerShell, Azure Functions, Logic Apps, REST APIs Compliance Areas in Purview: Sensitivity Labels, Policy Management, Auto-labeling Data Loss Prevention (DLP), Insider Risk Mgmt, Records Management Compliance Manager, Lifecycle Mgmt, eDiscovery, Audit DSPM, Information Barriers, Unified Catalog Required Qualifications 46 years of experience in Data Governance / Data Management. Hands-on with Microsoft Purview, especially lineage and classification workflows. Strong understanding of metadata management, glossary governance, and data classification. Familiarity with Azure Data Factory, dbt, Talend. Working knowledge of data compliance regulations: GDPR, CCPA, SOX, HIPAA. Strong communication skills to collaborate across technical and non-technical teams.

Design, develop, and implement Salesforce Health Cloud solutions, integrate with external systems, support call center tech, ensure compliance, manage enhancements, and communicate with business teams to align tech with patient service goals. Required Candidate profile Experienced Salesforce Health Cloud developer (5–7 yrs) with Platform Developer II certification, Apex/Visualforce, integration, pharma/healthcare understanding, and Agile development background

Title: Sr Data and MLOps Engineer Location: Hybrid (Bangalore/Chennai/Trichy) Description: • Experience within the Azure ecosystem, including Azure AI Search, Azure Storage Blob, Azure Postgres, with expertise in leveraging these tools for data processing, storage, and analytics tasks. • Proficiency in data preprocessing and cleaning large datasets efficiently using Azure Tools, Python, and other data manipulation tools. • Strong background in Data Science/MLOps, with hands-on experience in DevOps, CI/CD, Azure Cloud computing, and model monitoring. • Expertise in healthcare data standards, such as HIPAA and FHIR, with a deep understanding of sensitive data handling and data masking techniques to protect PII and PHI. • In-depth knowledge of search algorithms, indexing techniques, and retrieval models for effective information retrieval tasks. Experience with chunking techniques and working with vectors and vector databases like Pinecone. • Ability to design, develop, and maintain scalable data pipelines for processing and transforming large volumes of structured and unstructured data, ensuring performance and scalability. • Implement best practices for data storage, retrieval, and access control to maintain data integrity, security, and compliance with regulatory requirements. • Implement efficient data processing workflows to support the training and evaluation of solutions using large language models (LLMs), ensuring that models are reliable, scalable, and performant. • Proactively identify and resolve data quality issues, pipeline failures, or resource contention to minimize disruption to systems. • Experience with large language model frameworks, such as Langchain, and the ability to integrate them into data pipelines for natural language processing tasks. • Familiarity with Snowflake for data management and analytics, with the ability to work within the Snowflake ecosystem to support data processes. • Knowledge of cloud computing principles and hands-on experience with deploying, scaling, and monitoring AI solutions on platforms like Azure, AWS, and Snowflake. • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, and collaborate with cross-functional teams. • Analytical mindset with attention to detail, coupled with the ability to solve complex problems efficiently and effectively. • Knowledge of cloud cost management principles and best practices to optimize cloud resource usage and minimize costs. • Experience with ML model deployment, including testing, validation, and integration of machine learning models into production systems. • Knowledge of model versioning and management tools, such as MLflow, DVC, or Azure Machine Learning, for tracking experiments, versions, and deployments. • Model monitoring and performance optimization, including tracking model drift and addressing performance issues to ensure models remain accurate and reliable. • Automation of ML workflows through CI/CD pipelines, enabling smooth model training, testing, validation, and deployment. • Monitoring and logging of AI/ML systems post-deployment to ensure consistent reliability, scalability, and performance. • Collaboration with data scientists and engineering teams to facilitate model retraining, fine-tuning, and updating. • Familiarity with containerization technologies, like Docker and Kubernetes, for deploying and scaling machine learning models in production environments. • Ability to implement model governance practices to ensure compliance and auditability of AI/ML systems. • Understanding of model explainability and the use of tools and techniques to provide transparent insights into model behavior. Must Have: • Minimum of 10 years experience as a data engineer • Hands-on experience with Azure Cloud eco-system. • Hands-on experience using Python for data manipulation. • Deep understanding of vectors and vector databases. • Hands-on experience scaling POC to production. • Hands-on experience using tools such as Document Intelligence, Snowflake, function app. Azure AI Search • Experience working with PII/PHI • Hands-on experience working with unstructured data. Role & responsibilities