1780 Ai Security Engineer jobs in Nashville,TN

The base compensation for this role is $190,000 in USD.

Annual discretionary performance bonus

BCG's Profit Sharing and Retirement Fund (PSRF) contribution

Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children.

$10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs.

Dental coverage, including up to $5,000 (USD) in orthodontia benefits.

Vision insurance with coverage for both glasses and contact lenses annually.

Reimbursement for gym memberships and other fitness activities.

Fully vested retirement contributions made annually, whether you contribute or not.

Generous paid time off including vacation, holidays, and annual office closure between Christmas and New Years.

Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement.

Employees share in the cost of domestic partner coverage.

Bachelor's degree in information technology, computer science, engineering, or a related field

6+ years of experience in software engineering, data engineering, or AI systems with experience in architecture or technical leadership roles.

Strong foundation in software architecture and distributed systems.

Experience designing AI/ML or LLM-based systems in production or near-production environments.

Experience using modern AI-assisted coding and development tools (e.g., Cursor, Claude Code, Replit, Lovable) to accelerate prototyping experimentation, and implementation of AI platform solutions.

Familiarity with modern AI agentic frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen, LlamaIndex, etc.).

Working knowledge of agentic AI concepts including RAG, multi-agent orchestration, memory patterns, vector databases, and function-calling.

Understanding of Cloud architecture, data platforms, and API-based system integration, with depth in at least one hyperscaler (AWS, Azure, or GCP).

Experience of deploying AI solutions on cloud AI platforms and services

Integration of AI workflow with enterprise systems and data sources

Exposure to containerization and orchestration technologies (Docker, Kubernetes)

Willingness to travel to work with clients and BCG teams as needed.

Gen AI fluency (e.g., proven usage of GenAI such as ChatGPT, Claude) and validation of response.

Master's degree is a plus

Proficiency in one or more programming languages (e.g., Python, Javascript, TypeScript) is nice to have.

Experience with AI developer tools and productivity accelerators is a plus.

Familiarity with vector databases and retrieval patterns; exposure to Pinecone, Qdrant, Aure Search, or similar is beneficial.