below marketmost similar roles pay hereabove market
This role pays more than
72%
of similar roles. Most pay
$154,102–$217,868
— the blue band above.
At the midpoint, this role pays about
$207k
versus about
$186k
for comparable roles.
Based on 240 similar postings.
Employer
About CVS Health
CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy
CVS Health currently has
99 open roles
on FindRole.
Listed pay typically runs
$106,605–$260,590
across 97 roles with salary data.
JOB TITLE: Senior Software Engineering Manager Conversational AI
The Senior Software Engineering Manager Conversational AI leads multiple engineering teams to build and deliver high-quality software solutions, specifically focusing on voice and chat bots. This role involves overseeing the full software development lifecycle, from requirements analysis to deployment, while ensuring adherence to agile methodologies and secure coding practices. You will mentor engineers, conduct code and design reviews, and partner with leadership to define long-range technical solutions. The position requires expertise in cloud environments, APIs, microservices, and modern languages including Typescript, Python, Java, C#, JavaScript, and SQL. You will utilize AI development tools and Large Language Models to solve complex conversational AI problems, ensuring scalable architecture and technical excellence across all integrated software products and business objectives.
What does a Software Engineering Manager earn?
Median $216300 from 127 postings across 38 companies.
Conversational AI
Retrieval-Augmented Generation (RAG)
Large Language Models (LLMs)
Knowledge Graphs
Vector Databases
Distributed Systems
Model Alignment
Knowledge Distillation
Semantic Search
Core ML
Information Retrieval
Ranking Systems
Embedding Models
LLM Inference Optimization
Knowledge Pipelines
Conversational AI
Retrieval-Augmented Generation (RAG)
Large Language Models (LLMs)
Knowledge Graphs
Vector Databases
Distributed Systems
Core ML
Information Retrieval
Semantic Search
Model Alignment
Knowledge Distillation
Embedding Models
LLM Inference Optimization
Ranking Systems
Conversational AI
Retrieval-Augmented Generation (RAG)
Large Language Models (LLMs)
Knowledge Graphs
Vector Databases
Distributed Systems
Core ML
RLHF
RLAIF
Information Retrieval
Semantic Search
Model Alignment
Knowledge Distillation
Embedding Models
Ranking Systems
LLM Inference Optimization
Conversational AI
Retrieval-Augmented Generation (RAG)
Large Language Models (LLMs)
Knowledge Graphs
Vector Databases
Distributed Systems
Core ML
Information Retrieval
Semantic Search
Knowledge Distillation
Model Alignment
Embedding Models
LLM Inference Optimization
Knowledge Pipelines
Conversational AI
Retrieval-Augmented Generation (RAG)
Large Language Models (LLMs)
Knowledge Graphs
Vector Databases
Distributed Systems
Model Alignment
Knowledge Distillation
Semantic Search
Core ML
Information Retrieval
Ranking Systems
Embedding Models
LLM Inference Optimization
Knowledge Pipelines