Role & responsibilities:

MGT is a US-based management consulting firm serving public sector and education agencies, alongside clients in technology, finance, and advisory. With several decades of experience and significant recent growth, MGT has built a dedicated AI Operating Group (AI OG) focused on designing, building, and deploying AI-powered solutions across the firm and its clients. The India team is a fully integrated global delivery function, working in close collaboration with US-based

consultants and product leads.

Key Responsibilities:

- Design and implement scalable data architectures for AI, machine learning, and analytics workloads.
- Lead architecture decisions for complex AI and data initiatives and establish best practices for data engineering, governance, and

platform design.

- Build and maintain ETL/ELT pipelines for structured and unstructured data sources.
- Develop and manage data lakes, data warehouses, and feature stores to support model training and inference.
- Ensure data quality, governance, lineage, and observability across AI data ecosystems.
- Collaborate with AI engineers, data scientists, and solution architects to define data requirements and optimize performance.
- Design secure and compliant data solutions aligned with public sector standards and regulations.
- Implement cloud-native data platforms and modern data engineering frameworks.
- Support the development of vector databases and retrieval pipelines for generative AI applications.
- Document architectures, data models, metadata, and technical standards.




- Evaluate emerging technologies and recommend improvements to existing data platforms.

Preferred candidate profile :

- 7+ years of experience in Data Architecture, Data Engineering, or related fields.
- Strong experience designing and building scalable data pipelines and platforms for AI/ML use cases.
- Advanced proficiency in Python and SQL.
- Hands-on experience with modern cloud platforms (AWS, Azure, or GCP).
- Hands-on experience with modern data stack technologies such as Spark, Airflow, dbt, Snowflake, Databricks, Kafka, and Terraform.
- Experience with data warehousing, data lakes, distributed processing, and large-scale data systems.
- Strong understanding of data modeling, governance, security, and quality management best practices.
- Excellent written and verbal English communication skills.
- Ability to work independently in a fully remote, U.S.-aligned environment.
- Robust problem-solving skills and ability to translate business requirements into technical solutions.

AI-Focused Experience

- Experience building vector databases such as Pinecone or Weaviate and Retrieval-Augmented Generation (RAG) pipelines.
- Experience supporting government, education, or other regulated public sector organizations.
- Familiarity with compliance frameworks such as FedRAMP, NIST, or data privacy regulations.
- Knowledge of event-driven architectures and real-time data streaming platforms.
- Experience working in consulting or client-facing environments.
- Cloud or data certifications (AWS, Azure, GCP, Databricks, Snowflake, or equivalent)

📌 AI Data Architect (Telangana)
🏢 Amerisource Solutions
📍 Telangana