Teams at Anika Systems

Develop and maintain a secure, scalable enterprise Semantic Layer for federal data access, analytics, and AI applications. Build Python APIs using AWS services and serverless architectures, integrate enterprise data sources, and implement data modeling, metadata governance, LLMs, RAG, AI agents, MCP, vector search, and evaluation methods. Collaborate with architects, AI engineers, and stakeholders to deliver reliable, governed enterprise information access.

Leads the design and implementation of enterprise data and AI platforms for federal clients. Responsibilities include architecting AWS data lakes, warehouses, analytics platforms, pipelines, APIs, and serverless solutions; establishing data governance and modeling standards; implementing RAG, LLM, AI agent, and MCP solutions; developing AI evaluation frameworks; and providing technical leadership across Agile teams.

Build and maintain scalable data pipelines in Databricks using PySpark, Python, and SQL. Analyze large datasets, develop dashboards and reports, resolve data quality issues, optimize data models, and support governed analytics assets. Collaborate with federal stakeholders, architects, data scientists, and engineers while documenting solutions and participating in Agile delivery.