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Senior Ai Software Engineer Jobs (NOW HIRING)

T Rowe Price

Sr. AI Software Engineer

Washington, DC

$138K - $182K/yr

A Role Summary As a Sr. AI Software Engineer on the Global Marketing and Digital Enablement team, you will be responsible for designing, developing, modifying, and implementing innovative solutions ...

CEI

Sr. Software Engineer

Glendale, CA · On-site

$96.43 - $110.21/hr

Back Senior AI Software Engineer - Licensing Application Development Glendale , California Contract On-Site Jul 31, 2026 Senior AI Software Engineer (Licensing) Job at a Glance * Title: Senior ...

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NICE

Senior AI Software Engineer

Seattle, WA · On-site

$180 - $240/hr

The Role We are looking for a Senior AI Software Engineer who thrives at the intersection of infrastructure, DevOps, and applied AI. In this role you will design and build intelligent automation ...

HP IQ

Senior AI Software Engineer

San Francisco, CA · On-site

$149K - $240K/yr

We are looking for a Senior Software Engineer to design and develop high-performance, scalable services to support AI workloads across edge and cloud environments. What You Might Do * Design, build ...

NICE Systems

Senior AI Software Engineer

Seattle, WA · On-site

$139K - $183K/yr

We are looking for a Senior AI Software Engineer who thrives at the intersection of infrastructure, DevOps, and applied AI. In this role you will design and build intelligent automation systems that ...

NICE

Senior AI Software Engineer

Seattle, WA · On-site

$139K - $183K/yr

We are looking for a Senior AI Software Engineer who thrives at the intersection of infrastructure, DevOps, and applied AI. In this role you will design and build intelligent automation systems that ...

Litera

Senior AI Software Engineer

Denver, CO

$126K - $166K/yr

As a Senior AI Engineer, you will play a critical role in shaping Litera's GenAI strategy ... Champion software engineering best practices including secure coding, design patterns, and ...

Walkerdunlop

Senior AI Software Engineer

$160K - $190K/yr

The Impact You Will Have As a Senior AI Software Engineer on our AI Dev Team, you will help shape the future of our Loan Origination and Servicing platform and the AI systems that support how we ...

Pantera Capital

Senior AI Software Engineer

San Jose, CA · On-site

$255.65 - $299/hr

As a Senior AI Software Engineer, you will collaborate to design, implement, and optimize AI algorithms and software applications. You will ensure AI training, inference, deployment, and operation ...

KLA

Sr. AI Software Engineer (GPU/C++)

Milpitas, CA · On-site

$139K - $184K/yr

They are seeking a Sr. AI Software Engineer with a focus on C++ and GPU to design and implement core infrastructure components that support AI/ML workloads across various frameworks and hardware ...

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Senior Ai Software Engineer information

See salary details

$75.5K

$143.3K

$192K

How much do senior ai software engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior ai software engineer in the United States is $143,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $161,500.00 per year, depending on experience, location, and employer.

What is a senior AI software engineer?

Senior AI Software Engineers are experienced professionals who design, develop, and deploy artificial intelligence (AI) systems and applications. They lead complex projects involving machine learning, deep learning, and data analysis, often mentoring junior engineers and collaborating with data scientists. Their responsibilities include creating scalable AI models, optimizing algorithms, and ensuring that AI solutions meet business objectives. They typically possess advanced knowledge of programming languages such as Python and experience with AI frameworks like TensorFlow or PyTorch. Additionally, they stay updated on the latest AI trends and best practices to drive innovation within their organizations.

What does a senior AI software engineer do?

As a Senior AI Software Engineer, you will frequently work cross-functionally with data scientists and product teams to design, develop, and deploy AI solutions. You’ll translate complex models developed by data scientists into scalable, production-ready code, and ensure the solutions meet performance and reliability standards. Regular communication with product managers and stakeholders is essential to align technical deliverables with business objectives, and you may also mentor junior engineers in best practices for AI system integration.

What are the key skills and qualifications needed to thrive as a senior AI software engineer?

To thrive as a Senior AI Software Engineer, you need deep expertise in machine learning, programming languages such as Python or Java, and a strong background in computer science or a related field, often with an advanced degree. Familiarity with frameworks like TensorFlow or PyTorch, experience deploying models to production, and knowledge of cloud platforms are typically required, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, leadership, and effective communication skills distinguish top performers in this role. These skills ensure the ability to design, build, and scale AI solutions that drive innovation and deliver business value.

What is the difference between Senior Ai Software Engineer vs Data Scientist?

AspectSenior Ai Software EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with AI frameworksBachelor's/Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentDevelops AI models, software, and algorithms; collaborates with engineering teamsAnalyzes data, builds predictive models, interprets data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require strong technical skills and experience with AI tools, Senior Ai Software Engineers focus on developing and deploying AI software solutions, whereas Data Scientists primarily analyze data to generate insights and build predictive models. The roles often overlap but differ in their core responsibilities and focus areas.

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Senior Ai Software Engineer jobs near you
Infographic showing various Senior Ai Software Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $143,292 per year, or $68.9 per hour.

Senior AI Software Engineer (Generative AI / AWS Bedrock)

WorkNovas LLC

Reston, VA • On-site

$127K - $168K/yr

Contractor

Re-posted 28 days ago

Job description

F2F interviewSenior AI Software Engineer (Generative AI / AWS Bedrock)

Reston, VA, 3 days onsite

Description:

• 6+ years software engineering experience

• 3+ years building AI/ML-powered applications

• Experience deploying AI systems into production

Python Programming is must 

About the Role

We are seeking a Senior AI Software Engineer to design and build production-grade AI applications powered by large language models and foundation models. In this role, you will develop scalable commercial solutions using AWS Bedrock and other AI model providers, integrating advanced AI capabilities into real-world products and platforms.

You will work at the intersection of AI engineering, cloud architecture, and product development, building intelligent systems that leverage multiple foundation models for reasoning, automation, and data-driven insights.

This is a hands-on role for engineers passionate about transforming cutting-edge AI capabilities into robust, scalable commercial applications.

What You’ll Do

Technology Stack and AI/LLM Programming Expertise

• Hands-on experience with LLM APIs or foundation models

• Experience building:

o RAG systems

o AI copilots

o conversational agents

o automated workflows

o AI-driven analytics

o document AI solutions

• Python

• Java / TypeScript / Go (any backend language)

• Design and develop production AI applications using models available via AWS Bedrock and external providers

o AWS Bedrock

§ Anthropic Claude

§ Amazon Titan

§ Meta Llama

§ Cohere

§ OpenAI

o OpenAI

o Open-source LLMs

o S3, API Gateway, Step Functions, Lambda / ECS / EKS, Docker / Kubernetes

o FastAPI

o Terraform

Create pipelines for:

o embeddings

o document ingestion

o knowledge indexing

o model evaluation

• Vector databases (pg-vector, S3-vector, OpenSearch, FAISS)

• Embeddings and semantic search

• Prompt engineering

• Tracing, hallucination detection, cost monitoring, prompt performance, drift detection

• Model evaluation frameworks

• Experience with LangChain, LangGraph, LlamaIndex, or AI orchestration frameworks

• LLM Monitoring and Observability

• Experience with multi-model routing systems

• Experience building AI agents or tool-using LLMs

• Knowledge of AI safety, guardrails, and prompt management

• Experience deploying models with Docker and Kubernetes

• MCP, FastMCP

• Reinforcement Learning

• AWS SageMaker with MLOPs

• Experience with Bedrock API [Like from Lambda or Other services]

• Design high-performance AI APIs and microservices

• Optimize latency, reliability, and cost of model inference

• Implement evaluation pipelines and monitoring for AI systems

What We’re Looking For

The ideal candidate:

• Thinks like a systems architect and builder

• Has shipped real AI products to production

• Understands tradeoffs between models

• Can design robust AI pipelines

• Is comfortable working with rapidly evolving AI technologies

Example Problems You’ll Work On

• Build an enterprise knowledge assistant using Bedrock

• Create AI agents that automate complex workflows

• Develop document intelligence pipelines for financial or operational data

• Design multi-model orchestration frameworks

• Optimize LLM cost, latency, and reliability