Databricks & AI Engineer

** TEKsystems Nor TEKsystems' Client Are Capable Of A Visa Sponsorship At This Time *
* Description

We are seeking a highly skilled Sr. Databricks & AI Engineer to support the continued evolution of the Ask Anna platform. This position is critical to the success of the Ask Anna Performance Enhancement Initiative and will focus on improving platform performance, scalability, and AI capabilities based on production feedback.

The ideal candidate will possess deep expertise in Databricks, Data Engineering, Data Ops, Azure, APIs, and AI/GenAI technologies. This role will be instrumental in optimizing response times, enhancing the user experience, expanding data sources, and helping drive the future AI roadmap for the organization.

This is a strategic position with significant visibility and impact, supporting the next generation of enterprise AI solutions.

Key Responsibilities

Databricks Performance & Optimization

Lead Databricks performance tuning and optimization initiatives.

Analyze and resolve performance bottlenecks impacting Ask Anna response times.

Implement scalable data processing and query optimization strategies.

Monitor platform performance and recommend continuous improvements.

Data Engineering & Data Ops

Design, develop, and maintain robust data pipelines within Databricks.

Support Data Ops best practices, automation, monitoring, and deployment processes.

Improve data quality, reliability, and operational efficiency across the platform.

Enable onboarding of new datasets and data sources into Ask Anna.

AI & Generative AI Solutions

Develop and optimize AI and GenAI-enabled capabilities within the Ask Anna ecosystem.

Collaborate with stakeholders to identify opportunities for AI-driven enhancements.

Support the development and deployment of AI-powered agents and intelligent workflows.

Contribute to enterprise AI platform expansion and future innovation initiatives.

Cloud Architecture & Integrations

Support Azure-based architecture, services, and AI solutions.

Design and build APIs that enable seamless integration between front-end applications and Databricks services.

Partner with application development teams to ensure scalable, secure, and high-performing solutions.

Participate in architecture reviews and long-term technology planning.

Strategic Innovation

Contribute to the Ask Anna product roadmap and long-term performance strategy.

Evaluate emerging Databricks, AI, and cloud technologies for future adoption.

Support enterprise scalability initiatives and future AI platform capabilities.

Required Qualifications

5+ years of experience in Data Engineering, Analytics Engineering, or related technical roles.

Advanced hands-on experience with Databricks development, optimization, and administration.

Strong experience with Data Engineering and modern data pipeline architectures.

Proven experience implementing Data Ops practices and automation.

Experience working with Databricks Genie and AI-enabled analytics capabilities.

Strong knowledge of Microsoft Azure services and cloud-native architectures.

Experience designing and developing RESTful APIs and data integration services.

Hands-on experience building, deploying, or supporting AI/GenAI solutions.

Strong proficiency in SQL, Python, and modern data engineering frameworks.

Excellent problem-solving and performance tuning skills.

Preferred Qualifications

Experience with Angular front-end development.

Experience developing AI Agents and autonomous workflows.

Knowledge of Google Cloud Platform (GCP) services and AI offerings.

Full-stack application development experience.

Experience integrating AI solutions into business applications and enterprise workflows.

Familiarity with conversational AI, semantic search, vector databases, or retrieval-augmented generation (RAG) architectures.

Future Focus Areas

This role will help drive the future vision of Ask Anna, including:

Expansion of Ask Anna datasets and knowledge sources.

Performance enhancement roadmap execution.

Azure-based AI agent development.

Databricks AI and machine learning capabilities.

Potential Google Cloud AI integrations.

Enterprise-scale GenAI platform expansion.

Success Measures

The successful candidate will:

Improve Ask Anna…