Senior AI Technical Architect at Anvaya Solutions in Sacramento, CA

Responsibilities

• Design and implement AI-enhanced software engineering solutions.
• Develop and manage CI/CD pipelines with AI-driven quality checks.
• Design and optimize LLM and agentic systems.
• Build and optimize RAG pipelines and vector database search.
• Implement AI quality guardrails and evaluation frameworks.
• Design strategies to mitigate prompt injection risks.

Requirements

• A minimum of five (5) years of experience in AI-Enhanced Software Engineering. Experience shall include at least three (3) of any of the following:
• Advanced skills in Python and strong knowledge of backend architecture.
• Hands-on experience using AI coding assistants (such as GitHub Copilot or Cursor) to speed up software development.
• Proven ability to set up and manage automated Continuous Integration/Continuous Deployment (CI/CD) pipelines.
• Experience implementing AI-driven quality checks and generating unit tests within CI/CD workflows.
• A minimum of three (3) years of experience in Advanced Large Language Model (LLM) and Agentic System Design. Experience shall include at least three (3) of any of the following:
• Hands-on experience designing multi-agent workflows that coordinate tasks across different AI agents.
• Building and optimizing Retrieval Augmented Generation (RAG) pipelines, including improving vector database search for faster and more accurate results.
• Applying Chain of Thought reasoning techniques to support complex tasks in the Software Development Lifecycle (SDLC).
• Using frameworks such as LangGraph, CrewAI, or AutoGPT to automate end-to-end development processes.
• A minimum of three (3) years of experience in Predictive Log and Telemetry Intelligence. Experience shall include at least three (3) of any of the following:
• Building parsers and classifiers powered by Large Language Models (LLMs).
• Working with large, unstructured datasets such as system logs, distributed tracers, and heap dumps.
• Designing solutions that can identify patterns and predict issues before they impact system performance.
• Applying AI techniques to improve log analysis and telemetry monitoring for faster troubleshooting.
• A minimum of two (2) years of experience in AI Quality Guardrails. Experience shall include at least three of any of the following:
• Building Human-in-the-Loop systems where humans review and validate AI outputs for accuracy and safety.
• Creating automated evaluation frameworks such as Retrieval Augmented Generation Assessment (RAGAS) and Generative Evaluation (G-Eval) to measure AI performance.
• Implementing safeguards to prevent hallucinations (incorrect or fabricated outputs) in technical results.
• Designing strategies to mitigate prompt injection risks for autonomous AI agents, ensuring secure and reliable operations.

Skills

Required

• Python
• Backend architecture
• CI/CD pipelines
• AI-driven quality checks
• Unit test generation
• Multi-agent workflows
• Vector database search
• Chain of Thought reasoning
• LangGraph, CrewAI, AutoGPT
• LLM-based parsers and classifiers
• Predictive analytics
• Log analysis and telemetry monitoring