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Build and run data pipelines and platform components for Grant Thornton’s Data Architecture team, including migration to Microsoft Fabric and support for analytics, reporting and AI.
Deloitte · Posted Nov 13, 2026
Senior Consultant responsible for designing, building, and deploying enterprise software solutions, including GenAI and agentic applications, within regulated environments.
deloitte · Posted Nov 13, 2026
Senior Consultant and API Developer focused on rapid prototyping, end‑to‑end solution delivery, and platform integration for enterprise clients.
Deloitte · Posted Nov 13, 2026
Senior Consultant with full-stack development expertise in Azure PaaS, Python, and React to design, develop, and implement AI-powered cloud applications.
Provide technical leadership for the enterprise AI platform and AI-powered products, defining architecture, establishing engineering standards, driving AI innovation, and mentoring engineering teams.
Lead end‑to‑end development of agentic generative AI systems and classical ML solutions, combining full‑stack engineering, MLOps, and data science.
Lead the development and deployment of investigative tooling for financial crime, translating user needs into technical designs and ensuring production readiness.
Building artificial intelligence solutions for customer-facing teams: assistants and agents that query data, reason over it, and help make day-to-day decisions.
The AI Engineer is responsible for researching, developing, and deploying artificial intelligence solutions that serve both internal operations and client needs, focusing on automation systems, AI Agents, and supporting the Data team in building intelligent analytics tools.
Job Description: Required Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. 10+ years of experience in Data Engineering, Data Warehousing, Data Architecture, or Solution Architecture. Minimum 5+ years of hands-on experience with Snowflake architecture, implementation, and optimization. Proven experience designing enterprise-scale cloud data platforms and analytics solutions. Strong experience with data modernization, cloud migration, and digital transformation initiatives. Experience leading technical teams and collaborating with cross-functional stakeholders. Excellent communication, presentation, and stakeholder management skills. Required Skills Snowflake: Snowflake Architecture, Snowpark, Snowpipe, Streams & Tasks, Dynamic Tables, Data Sharing, Performance Tuning, Cost Optimization. Programming: Python, SQL, PySpark, Pandas, NumPy. Data Engineering: ETL/ELT Design, Data Pipelines, Data Warehousing, Data Lakehouse Architecture, Data Modeling. Generative AI & AI Technologies: Azure OpenAI, OpenAI APIs, LLMs, RAG (Retrieval-Augmented Generation), AI Agents, Prompt Engineering, Vector Databases, LangChain, Semantic Kernel. Cloud Platforms: Microsoft Azure (preferred), Azure Data Factory, Azure Databricks, Azure AI Services, Microsoft Fabric. DevOps & Automation: GitHub, Azure DevOps, CI/CD, Docker, Kubernetes, Terraform. Data Governance: Data Security, Data Quality Management, Metadata Management, Compliance, Access Controls. Visualization & Analytics: Power BI, Tableau, Advanced Analytics. Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent