Lead design and architecture of Generative AI solutions on Azure and OpenAI, build end-to-end data pipelines and cloud infrastructure, produce solution blueprints, collaborate with stakeholders, and implement data preprocessing, API deployment, monitoring, and analytics delivery.
We are seeking a Data Architect to lead a Generative AI initiative. The ideal candidate will have a deep understanding of Azure services and capabilities, and experience with architecting and implementing solutions using Azure. They must also possess knowledge of Python, APIs and machine learning frameworks.
Responsibilities
- Design and architect solutions that leverage Azure services and OpenAI technologies to address complex business problems and deliver innovative AI-powered applications.
- Evaluate and recommend appropriate Azure services and OpenAI technologies based on project objectives, scalability, performance, and cost considerations
- Design and implement end-to-end AI solutions, including data acquisition, data preprocessing, prompt engineering, API deployment, and monitoring
- Architect and optimize scalable and reliable cloud-based infrastructure on Azure, ensuring high availability, fault tolerance, and security
- Develop architectural design documents, solution blueprints, and technical specifications to guide the development and implementation process
- Collaborate with stakeholders, including product managers, data scientists, and others, to understand business requirements and translate them into technical solutions
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum of 5 years' experience with large-scale data and analytics solutions
- Knowledge of Azure Data & Analytics PaaS Services: Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Databricks, Azure Stream Analytics and Azure SQL DB
- Experience with Azure ARM templates, PowerShell and CI/CD using Azure DevOps
- Experience with preparing data for Data Science and Machine Learning purposes
- Experience with Azure data, Machine Learning and Artificial Intelligence solutions
- Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows
- Experience with different database technologies including relational and non-relational.
- Experience with exposing data to end-users via Power BI, Azure API Apps.
- Experience in turning business use cases and requirements into technical solutions
Preferred Qualifications:
- Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or other Science related discipline with course work in data and AI/ML.
- Experience with OpenAI technologies, such as GPT-3, GPT-4 reinforcement learning, or computer
- Knowledge of data privacy and security regulations and best practices related to Azure and AI solutions
- Ability to work collaboratively in a team environment and communicate complex technical concepts to non-technical stakeholders.
- Azure Solutions Architect certification preferred
Photon Chennai, Tamil Nadu, IND Office
DLF IT Park 1/124 Mount Poonamallee Road Sivaji Gardens Manapakkam , Chennai, India, 600089
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads scalable UI and API test automation using Python, PyTest, Playwright, Robot Framework, and Selenium. Develops comprehensive test suites, validates APIs and databases, tests microservices and healthcare applications, and integrates quality checks into CI/CD pipelines. Oversees defect triage, risk-based testing, quality metrics, release readiness, and Agile collaboration. Applies AI tools, LLMs, machine-learning-based test optimization, prompt engineering, and intelligent failure analysis. Supports cloud, containerization, infrastructure-as-code, and healthcare interoperability testing.
Top Skills:
AlmAWSAzureAzure AiAzure BoardsAzure PipelinesClaudeCloudFormationDicomDockerDynamoDBEmbeddingsFhirGCPGitGithub ActionsGithub CopilotGitlab CiHipaaHl7Hugging FaceInsomniaJenkinsJIRAKafkaM365 CopilotMongoDBOpenaiPlaywrightPostmanPytestPythonRagRallyRequestsRest AssuredRobot FrameworkSauce LabsSeleniumSQLTerraformVector Databases
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Develops and maintains ETL/ELT pipelines, legacy SSIS and SSAS solutions, reporting platforms, and relational and dimensional data models. Tunes SQL, data pipelines, semantic layers, and reporting workloads for performance and reliability. Supports Snowflake and cloud-native data platforms, documents data lineage and procedures, responds to ServiceNow incidents, and follows HIPAA, ITIL, governance, and change-control standards. Collaborates across technical and analytics teams while supporting healthcare data systems and modernization initiatives.
Top Skills:
Apache AirflowAzure Data FactoryAzure Machine LearningAzure SynapseCozyroc Ssis+DbtKronosPower BIPythonServicenowSnowflakeSQL ServerSsasSsisSsrsT-SqlTableauUkg
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead end-to-end design for complex enterprise digital products, defining experience strategy and creating user journeys, workflows, wireframes, high-fidelity designs, and prototypes. Partner with product, engineering, research, and business leaders to influence product direction, synthesize research, advance design systems, and ensure implementation quality. Mentor designers, promote accessibility and human-centered design, and responsibly use AI-enabled tools to improve design workflows.
Top Skills:
AgileFigmaWcag 2.1Aa
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
