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Principal AI Software Developer

Pyramid Systems, Inc.

Remote • Today

Easy Apply

Full-time

166,000 - 210,000

Principal AI Software Engineer

Apex Systems

Round Rock, Texas • Today

Easy Apply

Full-time

$70 - $85 per hour

Principal AI Software Engineer

Pyramid Consulting, Inc.

Round Rock, Texas • 5d ago

Easy Apply

Contract

$75 - $85

Principal AI - Software Engineering

SS Software Solutions LLC

Bothell, Washington • 11d ago

Easy Apply

Contract

40+

Sr. Principal AI Software Engineer

Connect Tech+Talent

Remote • Today

Easy Apply

Full-time

Depends on Experience

Principal AI Software Engineer

Microsoft Corporation

Redmond, Washington • Today

Full-time

USD 165,600.00 - 296,400.00 per year

Principal AI Software Engineer

GE Vernova

Niskayuna, New York • Today

Full-time

USD 145,400.00 - 242,500.00 per year

392 - Principal AI Software Engineer

ARSIEM

Fort Meade, Maryland • Today

Full-time

USD 216,000.00 - 241,000.00 per year

Principal AI Software Engineer, Product

Brightwheel

No location provided • Today

Full-time

USD 194,000.00 - 263,000.00 per year

Principal AI Software Engineer, GTM

Brightwheel

No location provided • Today

Full-time

USD 194,000.00 - 263,000.00 per year

Staff/Principal AI Software Engineer - Snowflake CoWork

Snowflake Inc.

Menlo Park, California • Today

Full-time

USD 264,000.00 - 379,500.00 per year

Principal AI Software Engineer (TS/SCI + Poly)

Aperio Global

Fort Meade, Maryland • Today

Full-time

USD 207,000.00 - 227,000.00 per year

Principal AI Software Engineer (SWE-4)

Leidos

Maryland • Today

Full-time

USD 131,300.00 - 237,350.00 per year

Principal Software Engineer (AI / Agentic Developer Productivity)

Microsoft Corporation

Redmond, Washington • Today

Full-time

USD 142,800.00 - 274,800.00 per year

Principal Software Developer - AI/ML Performance Validation & Systems Testing

AMD (Advanced Micro Devices)

San Jose, California • Today

Full-time

USD 210,000.00 per year

Principal Software Engineer/Principal AI Engineer

Reed Elsevier Technology Services

Philadelphia, Pennsylvania • Today

Full-time

USD 115,400.00 - 192,300.00 per year

Principal Software Engineer/Principal AI Engineer

Elsevier

Philadelphia, Pennsylvania • Today

Full-time

USD 115,400.00 - 192,300.00 per year

Principal Software Engineer / Principal AI Engineer - Commerce Platforms

Microsoft Corporation

Redmond, Washington • Today

Full-time

USD 142,800.00 - 274,800.00 per year

Principal AI Developer

Energy Transfer

Houston, Texas • Today

Full-time

Staff / Principal AI Engineer

Vaco by Highspring

Hybrid in Gilbert, Arizona • 6d ago

Easy Apply

Full-time

Depends on Experience

Principal Software Engineer - AI Frameworks

Microsoft Corporation

No location provided • Today

Full-time

USD 165,600.00 - 296,400.00 per year

Principal AI/ML Software Engineer

Hexagon AB

Houston, Texas • Today

Full-time

Principal AI Native Software Engineer

Remitly, Inc.

Washington • Today

Full-time

USD 240,000.00 - 300,000.00 per year

Principal Software Engineer (AI Platform) - Parametric

Morgan Stanley

Minneapolis, Minnesota • Today

Full-time

USD 115,000.00 - 225,000.00 per year

AI Development & Agent Ops - Principal Software Engineer

Dell Technologies

Hopkinton, Massachusetts • Today

Full-time

USD 168,000.00 - 231,000.00 per year

Principal AI Engineer, Special Programs

SpaceX

Washington, District of Columbia • Today

Full-time

USD 220,000.00 - 350,000.00 per year

Principal Software Engineer - AI Infrastructure Engineering Systems

Microsoft Corporation

Mountain View, California • Today

Full-time

USD 142,800.00 - 274,800.00 per year

Principal Software Engineer - AI Engineer

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 204,250.00 - 285,000.00 per year

Principal AI Engineer

Seekr

Austin, Texas • Today

Full-time

Principal AI Engineer

Cotiviti

Remote • Today

Full-time

USD 208,000.00 - 260,000.00 per year

Job Details

Skills

LLM
AI
RAG
Legacy
Open AI

Summary

Description

The Senior Principal Full Stack AI Engineer serves as a senior, hands-on full-stack AI engineer, leading the design, development, and delivery of large-scale mission-critical AI systems supporting the AIR Platform. This role combines senior technical leadership, hands-on expertise in AI and LLM systems built on a modern cloud stack (Next.js, Terraform, GitHub, AWS, Azure, and Google Cloud Platform), and ownership of enterprise architecture, governance, and innovation. This is a full-time position under Nexus for Pyramid Systems.

Responsibilities

Serve as a senior technical lead, defining AI and application architecture for the AIR Platform in partnership with and under the direction of the Director
Establish enterprise modernization roadmaps aligned to mission outcomes, compliance, and scalability
Lead architecture for distributed, cloud-native, and hybrid AI systems
Define and enforce reference architectures, standards, and reusable frameworks
Drive cross-program technical decision-making to ensure interoperability, security, and long-term sustainability
Lead design, development, and deployment of advanced AI solutions, including large language models (LLMs) and foundation models, Retrieval-Augmented Generation (RAG) systems, agentic workflows, and orchestration frameworks
Architect and implement scalable AI applications and services using Next.js, cloud-native APIs, and managed AI services across AWS, Azure, and Google Cloud Platform
Build full-stack AI applications end to end, from user-facing interfaces to back-end services, APIs, and data layers
Integrate AI and LLM capabilities into existing enterprise applications and legacy platforms (e.g., content management, case management, and records systems) via APIs, middleware, and event-driven patterns
Oversee the full AI solution lifecycle: data pipelines, evaluation, deployment, and monitoring
Drive LLM performance and cost optimization (e.g., caching, prompt and context optimization, model selection)
Establish robust MLOps practices leveraging GitHub-based automation, CI/CD pipelines, and tooling
Stand up the enterprise CI/CD-to-AI/MLOps pipeline, beginning with time-boxed proofs of concept and MVP implementations that mature into production systems
Serve as subject matter expert in federal AI policy (e.g., NIST AI RMF, OMB M-25-21 and M-25-22, Executive Order 14179)
Define and operationalize Responsible AI frameworks, including model validation and evaluation, bias mitigation and fairness, and explainability, auditability, and safety
Ensure compliance with FISMA, FedRAMP, NIST 800-53, privacy, and Section 508 requirements
Lead large-scale modernization initiatives (e.g., legacy-to-cloud, microservices transformation, including refactoring and re-platforming efforts)
Define repeatable modernization frameworks and accelerators
Oversee DevSecOps pipelines and CI/CD automation (e.g., GitHub Actions), zero-trust architectures, and secure software supply chain practices
Ensure delivery of resilient, high-availability systems in regulated federal environments
Lead multiple concurrent engineering efforts across integrated teams
Provide technical leadership to architects, engineers, and DevSecOps specialists, including establishing coding standards and engineering best practices
Mentor senior engineers and technical leaders; elevate engineering excellence and code quality
Support technical strategy in proposals, captures, and client engagements
Contribute to thought leadership (whitepapers, architecture patterns, platform strategy)
Expert-level proficiency across the platform stack (Next.js, Terraform, GitHub, AWS, Azure, and Google Cloud Platform), including building large-scale AI applications, APIs, and data pipelines
Full-stack engineering skills, including modern front-end frameworks (e.g., Next.js/React), back-end services, RESTful APIs, microservices, and cloud-native deployment (e.g., containers, Kubernetes)
Deep expertise in LLMs and generative AI, including transformer-based model architectures and their practical application
Proven ability to integrate AI capabilities into existing and legacy enterprise systems (e.g., legacy CMS or COTS platforms) using APIs, middleware, connectors, and event-driven architectures
Strong understanding of large-scale data systems and ML evaluation methodologies
Experience working with sensitive data, including PII safeguards such as anonymization, masking, and data loss prevention
Experience with enterprise integration technologies, including REST/SOAP services, message queues, ETL pipelines, and SQL/NoSQL databases
Expertise designing AI systems in cloud-native, distributed environments across AWS, Azure, and Google Cloud Platform
Proficiency with infrastructure as code, including Terraform, for provisioning and managing cloud environments
Proficiency with managed generative AI services (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI) and integrating frontier models such as GPT, Claude, and Gemini
Hands-on experience with LLM application stacks, including orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel), embeddings, vector databases, and prompt engineering
Executive communication skills with experience influencing senior leaders
Demonstrated ability to own solutions end to end, from discovery and prototyping through production deployment, integration, and ongoing support
Ability to balance strategic vision with deep hands-on technical execution

Requirements

U.S. Citizenship required
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
12–15+ years of software engineering experience, including significant leadership responsibility
8+ years of applied AI/ML experience, including building and deploying production systems (LLMs, generative AI, and large-scale or distributed model systems) Expert-level full-stack development experience, including designing production-grade AI systems, data pipelines, and microservices-based architectures
Deep experience with cloud platforms (Azure, AWS, Google Cloud Platform), including FedRAMP environments
Hands-on experience building full-stack applications with Next.js and managing infrastructure as code with Terraform
Experience with AI platforms and architectures (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI, RAG, agents)
Proven success delivering enterprise-scale systems and modernization programs
Strong background in microservices, APIs, distributed systems, and DevSecOps practices
Demonstrated ability to translate AI research into production systems
Active clearance (Public Trust, Secret, or higher) preferred
Startup or early-stage company experience preferred
Experience using AI coding tools (e.g., Claude Code, OpenAI Codex) to accelerate development preferred

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX15e75f
Position Id: 9072708
Posted 2 hours ago

Fitment

Dice Job Match Score™

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Ivy Fiore

Recruiter @ Pyramid Systems, Inc.

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Job Details

Skills

LLM
AI
RAG
Legacy
Open AI

Summary

Description

Responsibilities

Serve as a senior technical lead, defining AI and application architecture for the AIR Platform in partnership with and under the direction of the Director
Establish enterprise modernization roadmaps aligned to mission outcomes, compliance, and scalability
Lead architecture for distributed, cloud-native, and hybrid AI systems
Define and enforce reference architectures, standards, and reusable frameworks
Drive cross-program technical decision-making to ensure interoperability, security, and long-term sustainability
Lead design, development, and deployment of advanced AI solutions, including large language models (LLMs) and foundation models, Retrieval-Augmented Generation (RAG) systems, agentic workflows, and orchestration frameworks
Architect and implement scalable AI applications and services using Next.js, cloud-native APIs, and managed AI services across AWS, Azure, and Google Cloud Platform
Build full-stack AI applications end to end, from user-facing interfaces to back-end services, APIs, and data layers
Integrate AI and LLM capabilities into existing enterprise applications and legacy platforms (e.g., content management, case management, and records systems) via APIs, middleware, and event-driven patterns
Oversee the full AI solution lifecycle: data pipelines, evaluation, deployment, and monitoring
Drive LLM performance and cost optimization (e.g., caching, prompt and context optimization, model selection)
Establish robust MLOps practices leveraging GitHub-based automation, CI/CD pipelines, and tooling
Stand up the enterprise CI/CD-to-AI/MLOps pipeline, beginning with time-boxed proofs of concept and MVP implementations that mature into production systems
Serve as subject matter expert in federal AI policy (e.g., NIST AI RMF, OMB M-25-21 and M-25-22, Executive Order 14179)
Define and operationalize Responsible AI frameworks, including model validation and evaluation, bias mitigation and fairness, and explainability, auditability, and safety
Ensure compliance with FISMA, FedRAMP, NIST 800-53, privacy, and Section 508 requirements
Lead large-scale modernization initiatives (e.g., legacy-to-cloud, microservices transformation, including refactoring and re-platforming efforts)
Define repeatable modernization frameworks and accelerators
Oversee DevSecOps pipelines and CI/CD automation (e.g., GitHub Actions), zero-trust architectures, and secure software supply chain practices
Ensure delivery of resilient, high-availability systems in regulated federal environments
Lead multiple concurrent engineering efforts across integrated teams
Provide technical leadership to architects, engineers, and DevSecOps specialists, including establishing coding standards and engineering best practices
Mentor senior engineers and technical leaders; elevate engineering excellence and code quality
Support technical strategy in proposals, captures, and client engagements
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Expert-level proficiency across the platform stack (Next.js, Terraform, GitHub, AWS, Azure, and Google Cloud Platform), including building large-scale AI applications, APIs, and data pipelines
Full-stack engineering skills, including modern front-end frameworks (e.g., Next.js/React), back-end services, RESTful APIs, microservices, and cloud-native deployment (e.g., containers, Kubernetes)
Deep expertise in LLMs and generative AI, including transformer-based model architectures and their practical application
Proven ability to integrate AI capabilities into existing and legacy enterprise systems (e.g., legacy CMS or COTS platforms) using APIs, middleware, connectors, and event-driven architectures
Strong understanding of large-scale data systems and ML evaluation methodologies
Experience working with sensitive data, including PII safeguards such as anonymization, masking, and data loss prevention
Experience with enterprise integration technologies, including REST/SOAP services, message queues, ETL pipelines, and SQL/NoSQL databases
Expertise designing AI systems in cloud-native, distributed environments across AWS, Azure, and Google Cloud Platform
Proficiency with infrastructure as code, including Terraform, for provisioning and managing cloud environments
Proficiency with managed generative AI services (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI) and integrating frontier models such as GPT, Claude, and Gemini
Hands-on experience with LLM application stacks, including orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel), embeddings, vector databases, and prompt engineering
Executive communication skills with experience influencing senior leaders
Demonstrated ability to own solutions end to end, from discovery and prototyping through production deployment, integration, and ongoing support
Ability to balance strategic vision with deep hands-on technical execution

Requirements

U.S. Citizenship required
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
12–15+ years of software engineering experience, including significant leadership responsibility
8+ years of applied AI/ML experience, including building and deploying production systems (LLMs, generative AI, and large-scale or distributed model systems) Expert-level full-stack development experience, including designing production-grade AI systems, data pipelines, and microservices-based architectures
Deep experience with cloud platforms (Azure, AWS, Google Cloud Platform), including FedRAMP environments
Hands-on experience building full-stack applications with Next.js and managing infrastructure as code with Terraform
Experience with AI platforms and architectures (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI, RAG, agents)
Proven success delivering enterprise-scale systems and modernization programs
Strong background in microservices, APIs, distributed systems, and DevSecOps practices
Demonstrated ability to translate AI research into production systems
Active clearance (Public Trust, Secret, or higher) preferred
Startup or early-stage company experience preferred
Experience using AI coding tools (e.g., Claude Code, OpenAI Codex) to accelerate development preferred

Dice Id: RTX15e75f
Position Id: 9072708
Posted 2 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Ivy Fiore

Recruiter @ Pyramid Systems, Inc.

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Senior AI Developer

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