Deloitte | India Offices of the US

“Deloitte” is the brand under which tens of thousands of dedicated professionals in independent firms throughout the world collaborate to provide audit, consulting, financial advisory, risk management, and tax services to selected clients. These firms are members of Deloitte Touche Tohmatsu Limited (DTTL), a UK private company limited by guarantee. Each member firm provides services in a particular geographic area and is subject to the laws and professional regulations of the particular country or countries in which it operates. DTTL and each DTTL member firm are separate and distinct legal entities. Each DTTL member firm is structured differently in accordance with national laws, regulations, customary practice, and other factors and may secure the provision of professional services in their territories through subsidiaries, affiliates, and/or other entities.

In the United States, Deloitte LLP is the member firm of DTTL. Services are primarily provided by the subsidiaries of Deloitte LLP, including:

·   Deloitte & Touche LLP

·   Deloitte Consulting LLP

·   Deloitte Financial Advisory Services LLP

·   Deloitte Tax LLP

In India, Deloitte LLP has the following indirect subsidiaries: Deloitte & Touche Assurance & Enterprise Risk Services India Private Limited, Deloitte Consulting India Private Limited, Deloitte Financial Advisory Services India Private Limited, Deloitte Tax Services India Private Limited, and Deloitte Support Services India Private Limited. These entities primarily render services to their respective U.S.-based parents.

U.S. India Deloitte Tax Services India Private Limited

Deloitte Tax Services India Private Limited (“Deloitte Tax Services India”) commenced operations in January 2002. Since then, nearly all of the Deloitte Tax LLP (“Deloitte Tax”) U.S. service lines and region have developed their affiliations in India. Deloitte Tax offers you immense opportunities to learn and practice U.S. Taxation, a much sought after career option.

Our Vision:
To be the dominant global provider of tax services delivering unmatched value to our clients and our people through sustained relationships.

U.S. India Tax — TTO

Deloitte Tax LLP’s Tax Transformation (TTO) team is responsible for the design, development and deployment of tax tools for the US Tax Practice.  The professionals on the TTO team are focused on assisting Deloitte Tax in its efforts to deliver quality, comprehensive, value-added, and efficient client services using tax tools to our clients.  The team consults and executes on a wide range of initiatives involving tax technology management, tool development and implementation. 

Job description

The key job responsibilities include the following:

·   Participate in requirements analysis.

·   Collaborate with US and Vendors’ teams to produce software design and architecture.

·   Write clean, scalable code using .NET programming languages.

·   Test and deploy applications and systems.

·   Revise, update, refactor and debug code.

·   Develop, support and maintain applications and technology solutions.

·   Ensure that all development efforts meet or exceed client expectations. Applications should meet requirements of scope, functionality, and time and adhere to all defined and agreed upon standards.

·   Become familiar with all development tools, testing tools, methodologies and processes.

·   Become familiar with the project management methodology and processes.

·   Encourage collaborative efforts and camaraderie with on-shore and off-shore team members.

·   Demonstrate a strong working understanding of the industry best standards in software development and version controlling.

·   Ensure the quality and low bug rates of code released into production.

·   Work on agile projects, participate in daily SCRUM calls and provide task updates.

·   During design and key development phases, might need to work a staggered shift from 2pm-11pm to ensure appropriate overlap of the India and US teams and project deliveries.

·   Responsible for the building, deployment, and maintenance of mission-critical analytics solutions that process terabytes of data quickly at big-data scales

·   Contributes design, code, configurations, manage data ingestion, real-time streaming, batch processing, ETL across multiple data storages

·   Responsible for performance tuning of complicated SQL queries and Data flows

·   Design and operationalize multi-agent (agentic) Generative AI (GenAI) workflows (planner/worker patterns, tool use, agent memory, retries/fallbacks) integrated with enterprise data products and retrieval services

·   Build and maintain agent tool backends (search/retrieval, document ingestion, SQL generation guardrails, governance checks) with strong observability (tracing, evaluation, quality metrics) for production reliability

·   Own the vector retrieval layer end-to-end: embedding pipelines, indexing strategy, hybrid search patterns, and latency/throughput optimization for Retrieval-Augmented Generation (RAG) use cases

·   Lead implementation of Zilliz Cloud / Milvus in production: collection design, partitions, index selection/tuning, bulk ingest patterns, and retrieval performance tuning

·   Implement MongoDB-based data services for GenAI workloads (document modeling, aggregation pipelines, change streams for event-driven processing, and sharding/scale patterns)

Key skills required:

·   6+ years of strong hands-on experience on C#, SQL Server, OOPS Concepts, Micro Services Architecture.

·   At least one year hands-on experience on .NET Core, ASP.NET Core Web API, SQL, NoSQL, Entity Framework 6 or above, Azure, Database performance tuning, Applying Design Patterns, Agile.

·   Skill for writing reusable libraries.

·   Experience in Azure cloud data platform

·   Experience working with vector databases (Milvus, Postgres, etc.)

·   Knowledge of embedding models and retrieval-augmented generation (RAG) architectures

·   Understanding of LLM pipelines, including data preprocessing for GenAI models

·   Experience deploying data pipelines for AI/ML workloads, ensuring scalability and efficiency

·   Familiarity with model monitoring, feature stores (Feast, Vertex AI Feature Store), and data versioning

·   Experience with CI/CD for ML pipelines (Kubeflow, MLflow, Airflow, SageMaker Pipelines)

·   Understanding of real-time streaming for ML model inference (Kafka, Spark Streaming)

·   Knowledge of Data Warehousing, design, implementation and optimization

·   Knowledge of Data Quality testing, automation and results visualization

·   Knowledge of BI reports and dashboards design and implementation (PowerBI)

·   Experience with supporting data scientists and complex statistical use cases highly desirable

·   Hands-on experience delivering multi-agent systems using common orchestration patterns/frameworks (e.g., agent graphs, tool-calling, structured outputs), including evaluation and safety/guardrail approaches for enterprise use

·   Production experience with Zilliz (Milvus) (self-managed or Zilliz Cloud): vector indexing methods, metadata filtering, hybrid retrieval, and performance tuning at scale

·   Strong MongoDB experience: schema design for semi-structured data, aggregation framework proficiency, indexing strategies, and operational best practices (backup/restore, security, performance)

·   Experience integrating MongoDB + vector search patterns and/or using MongoDB as a metadata store alongside Milvus/Zilliz for RAG pipelines

·   Excellent Communication skills both oral & written.

·   Excellent troubleshooting and communication skills, ability to communicate clearly with US counterparts.

Additional Information/Nice to Have:

·   Knowledge on Angular, Mongo DB, NPM and Azure Devops Build/Release configuration.

·   Self-starter with solid analytical and problem-solving skills.

·   This is an experienced level position, and we will train the qualified candidate in the required applications.

·   Willingness to work extra hours to meet deliverables.