Jobs in the United States

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Added 5 mins ago
MS
Sr. Model Governance Manager
Mitek Systems
Remote, United States
- $160,000 to $200,000 USD / year
Added 6 mins ago
Principal Architect
Amgen
Washington D.C., DC
…(GenAI) solutions, leveraging Databricks, Apache Spark, SQL, and Python for scalable data processing, feature engineering, and model development from problem framing to production…
Added 6 mins ago
Director, AI & Machine Learning
Amgen
Washington D.C., DC
Added 6 mins ago
Cyber Security Engineer (5462)
SMX
Washington, DC
Collaborate with cloud engineering and DevOps teams to design, implement, and validate security controls across AWS, Azure, and hybrid environments.
Added 6 mins ago
Senior Telecom Engineer
Maximus
Washington, DC
Software Development experience in Java and C#.NET, Python, PHP, web application development scripting, tools and methods.
Added 6 mins ago
Vice President, Cloud Platform Engineer
SitusAMC
Washington, DC
…programming and knowledge in Cloud technologies such as Terraform, AWS Services, Docker, Kubernetes, and familiar with Git development. The Engineer is expected to provide strategy and…
Added 6 mins ago
AI Engineer
Verdantas
Washington, DC
Design, develop, and maintain full stack applications using Next.js, TypeScript, FastAPI, Python, PostgreSQL, and OpenSearch
Added 6 mins ago
Systems Administrator – Kiteworks
SitusAMC
Washington, DC
Develop and maintain automation and orchestration scripts (PowerShell, Python, Terraform) that standardize routine administration tasks.
Added 6 mins ago
C
Software Engineering Internship – TriZetto Product House
Cognizant
Washington, DC
- $25 USD / hour
Basic knowledge of programming languages such as Java or .NET, Python and SQL
Added 6 mins ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Washington, DC
- $80 to $90 USD / hour
Hands-on experience with AWS services related to data analytics and AI, including EMR and Bedrock.
Added 6 mins ago
EG
Senior Python Developer
Eliassen Group
Washington, DC
- $74 to $78 USD / hour
Our client seeks a Senior Python Developer to build and operate components of aSaaS risk and compliance AI platform. The role requires hands-on development across data ingestion, storage,…
Added 10 mins ago
Systems Administrator
MANTECH
San Antonio, TX
Proficiency in systems automation and orchestration leveraging scripting capabilities in Python, Bash, or PowerShell.
Added 11 mins ago
DE
Software Data Engineer
Disney Entertainment Operations LLC
New York, NY
- $113,700 to $152,400 USD / year
Specific experience with our stack: Spark, Python, Databricks/Snowflake, AWS, Terraform
Added 12 mins ago
Principal AI Framework Architect
Default Brand
Tampa, FL · Charlotte, NC
Significant multiple years’ experience designing and building enterprise-scale software frameworks, distributed systems, developer platforms, or comparable shared technical capabilities.
Added 14 mins ago
Research Software Engineer
Dartmouth College
NH
…and engage with collaborators at scientific conferences and developer sprints are available for those who enjoy them and have content to…
Added 15 mins ago
Global Principal Senior Specialist Solution Architect - Lightwell
Red Hat, LLC
Remote, United States
We are seeking an Solution Architect with deep Java/Python engineering roots and specialized expertise in Red Hat Lightwell to lead technical sales, client architecture, and partner…
Added 18 mins ago
M
SR AI Solution Architect
modis
Tampa, FL
- $55 to $60 USD / hour
…enterprise systems, and deliver secure, scalable solutions on…
Added 19 mins ago
Staff Software Engineer
Cisco
Durham, NC · Denver, CO · Rancho Cordova, CA
…environments in Splunk Cloud. We work at a significant scale across AWS, GCP, and Kubernetes, supporting both traditional and containerized workloads. This is an opportunity to apply deep…
Added 22 mins ago
Advisory Solutions Architect (Pre-Sales)
MongoDB
San Francisco, CA
…distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft…
Added 26 mins ago
Staff Software Engineer, Salesforce
DAT
Denver, CO · Portland, OR · Seattle, WA
Salesforce Platform Developer I or II certification required
Added 33 mins ago
SRE Security Engineer
OPEN OPENLANE US Inc
Remote, United States
…misconfigurations, vulnerabilities, and access issues across AWS, Azure, GCP, GitHub, Okta, and Active Directory. You will join a new SRE Security Engineering team formed to close the gap…
Added 33 mins ago
IG
GIS Analyst
Insight Global
Three Chopt, VA
- From $50 USD / hour
Experience with Python/ArcPy scripting and automation.
Added 37 mins ago
AI Capability Lead (Mid-Level) – Service Delivery and Internal
COBEC INC
Washington, DC
Experience with relational databases and at least one programming language (Python preferred).
Added 38 mins ago
Principal / Sr. Principal Engineer Software - Cloud & Applications
Northrop Grumman
El Segundo, CA · El Segundo
Experience with a coding or scripting language (C, C++, Java, Python)
Added 38 mins ago
Staff AI/ML Software Engineer - Level 5
Northrop Grumman
Colorado Springs, CO · Colorado Springs
Strong programming skills in Python, R, or other relevant languages.

Default Brand

Principal AI Framework Architect

Tampa, FL, United States
Charlotte, NC, United States

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Job details

Posting language: English
Posted: Nov 6, 2026

Original job description

Principal AI Framework Architect

Principal Individual Contributor | Platform Architecture and Production Engineering

The Principal AI Framework Architect is a senior individual contributor and technical authority responsible for the architecture, engineering, and evolution of the enterprise AI framework. The framework provides reusable capabilities and engineering patterns that enable teams across the enterprise to build and operate AI applications and agents securely, reliably, and at scale.

This is a deeply hands-on role. The architect will move between system architecture, technical prototyping, software development, design reviews, and production problem-solving. Rather than owning a single product or implementation, this role establishes the technical foundation, patterns, and abstractions that enable a broad ecosystem of AI solutions.

Role Purpose

Own the technical direction of a reusable enterprise AI framework: the shared foundation for AI agents and applications to access models, tools, data, orchestration, governance, security, and operational capabilities without rebuilding those capabilities independently.

Core Responsibilities

Framework Architecture

Define and own the architecture, technical patterns, interfaces, and evolution of the enterprise AI framework across runtime, orchestration, governance, security, identity, integration, state, and observability.
Make pragmatic build-versus-buy and technology decisions and establish clear boundaries with enterprise infrastructure, cloud, security, data, and platform services.
Design for scalability, resiliency, extensibility, and portability as models, agent frameworks, protocols, and enterprise requirements evolve.

Hands-On Engineering

Build reference implementations and critical framework components; prototype high-risk approaches and validate architecture through working software.
Write and review production-quality code, establish reusable libraries/APIs/patterns, and work directly with engineers to solve the hardest technical problems.
Diagnose complex distributed-system, integration, performance, reliability, and security issues.

AI Runtime, Orchestration & Governance

Design reusable patterns for agent execution, durable workflows, sessions, state, retries, recovery, human-in-the-loop interactions, and runtime controls.
Embed policy-based authorization, workload contracts, identity propagation, least privilege, default-deny/fail-closed controls, and auditable decisions into the framework.
Create consistent, governed paths for model and tool access, including support for evolving protocols and agent technologies.

Developer Experience & Adoption

Make the framework easier to consume through clear APIs, SDKs, reference architectures, templates, paved paths, and strong documentation.
Enable application and AI teams to build new solutions faster while relying on common framework capabilities for governance, security, reliability, and observability.
Balance standardization with extensibility so teams can innovate without fragmenting the enterprise AI ecosystem.

Technical Leadership

Serve as the deepest technical partner to the Director of AI Framework and senior engineering leadership on architecture and technical decisions.
Lead design reviews, mentor engineers, challenge assumptions, identify technical risks early, and communicate complex architecture clearly across technical and business audiences.
Influence through expertise and delivery rather than organizational authority; people management is not a primary responsibility.

Qualifications

Significant multiple years’ experience designing and building enterprise-scale software frameworks, distributed systems, developer platforms, or comparable shared technical capabilities.
Strong hands-on software engineering skills in Python, Java, Go, or similar languages, with the ability to move from architecture to implementation.
Demonstrated experience with enterprise AI, GenAI, agentic systems, LLM integration, tool calling, and AI application architecture.
Strong understanding of cloud-native systems, APIs, microservices, containers/Kubernetes, asynchronous processing, distributed state, security, identity, and observability.
Ability to evaluate emerging AI technologies and translate them into durable enterprise engineering patterns.

Preferred Experience

Experience with several of the following: durable workflow technologies (Example Temporal)+; policy-as-code; MCP and A2A; AI gateways/proxies; OpenAI Agents SDK,Agentic frameworks(LangGraph, LangChain), LlamaIndex; LiteLLM; RAG/GraphRAG; Kubernetes; AWS/Azure/GCP AI services; Terraform; Event streaming; OpenTelemetry; enterprise IAM.

What Success Looks Like

The AI framework becomes a trusted, reusable foundation for building enterprise AI applications. The framework becomes the default path for production AI applications across participating engineering teams.
Core capabilities are exposed through consistent interfaces and paved paths, allowing teams to build faster while inheriting governance, security, reliability, and observability.
The framework evolves without being tightly coupled to a single model provider, agent framework, protocol, or infrastructure implementation.
The most important architectural decisions are proven through working software, documented patterns, and production adoption.
Teams across the enterprise can innovate on AI applications without repeatedly solving the same foundational technical problems.

Role Profile

Role: Principal AI Framework Architect
Career track: Senior Individual Contributor / Technical Leadership
People management: Not a primary responsibility
Organization: AI Platform team
Key partners: AI/ML Engineering, Platform Engineering, Cloud Engineering, Security, Enterprise Architecture, Data, Product, and application engineering teams

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