Jobs in the United States

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Added 9 days ago
Mid-level Full Stack Software Engineer (TS/SCI)
Vantor Services Inc.
Herndon, VA · Westminster, CO
Proficiency in at least one back-end programming language, such as Python, Java, Go, or C#, with experience developing RESTful APIs, integrating databases, and building server-side…
Added 9 days ago
Software Engineer (L3) Email
Twilio
Remote, United States
Language Proficiency: Strong, hands-on production experience writing clean, idiomatic, and highly concurrent Go (Golang), Java or Python.
Added 9 days ago
Cloud Developer - TS/SCI with Polygraph
GD Information Technology, Inc.
United States
Amazon Web Services (AWS), Cloud Development, Python (Programming Language), Terraform (Software)Certifications:
Added 9 days ago
Java Full Stack Engineer with Python and AWS
Infosys
United States
⦁ Experience in Full-stack software engineering with proficiency in Java and Angular.
Added 9 days ago
Senior Software Engineer
INSPYR Solutions
Burbank, CA
Proficiency in at least one core programming language (e.g., Java, Python, or JavaScript)
Added 9 days ago
Senior Software Engineer
INSPYR Solutions
Burbank, CA
Proficiency in at least one core programming language (e.g., Java, Python, or JavaScript)
Added 9 days ago
C+
Senior Test Automation Engineer – Microservices
CTRL + LLC
Annapolis Junction, MD
- $113.62 to $125.45 USD / hour
Applicants must live within commuting distance of the listed work location to be considered
Added 9 days ago
C+
Lead Java Microservices Developer – AWS Modernization
CTRL + LLC
Annapolis Junction, MD
- $126.42 to $139.59 USD / hour
Applicants must live within commuting distance of the listed work location to be considered
Added 9 days ago
C+
Platform Engineer – Kubernetes & Full-Stack Deployments
CTRL + LLC
Annapolis Junction, MD
- $77.14 to $85.17 USD / hour
Work arrangement: Hybrid – on-site with up to 2 days per week telework · Applicants must live within commuting distance of the listed work location to be considered
Added 9 days ago
DCOSE Manager, Data Center Operations Support Engineering, ADC-DCOSE
Amazon Data Services, Inc.
Arlington, VA · New Albany, OH · Denver, CO · Herndon, VA
As part of the DCOSE team you will be engaged in both tactical and strategic decision making while supporting the team reporting to you. You will oversee process change, provide proactive…
Added 9 days ago
Senior Software Development Engineer, AWS Kubernetes (K8s)
Amazon Development Center U.S., Inc.
Santa Clara, CA
- Proven software development skills, preferably in Java, Golang, C/C++, Python and/or Perl in a Linux environment
Added 9 days ago
A
Software Developer (Ignition/MES)
Actalent
Carrollton, TX
- $60 to $87 USD / hour
Must have development experience with Ignition
Added 9 days ago
Data Engineer 4, Real-time Data Platform
Capital One
Plano, TX
Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) using programming languages like Java, Scala,…
Added 9 days ago
Data Engineer 4, Auto Data Platforms
Capital One
Plano, TX
Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
Added 9 days ago
Lead Software Engineer - Agentic Data Quality Platform
JPMorgan Chase
Plano, TX
Backend: Python, Java, or Kotlin with REST or GraphQL.
Added 9 days ago
Full-stack Software Engineer 5, Data Insights Platform (Global Payment Network)
Capital One
Plano, TX · McLean, VA
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 9 days ago
Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)
Capital One
NY · San Francisco, CA · McLean, VA · Cambridge, MA · San Jose, CA
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang
Added 9 days ago
Solutions Architect Intern, AWSI - 2027
Amazon
Dallas, TX
Are you a motivated technologist with a unique blend of curiosity, technical chops, and strong interpersonal skills? Do you want to help us build new things and evangelize AWS with…
Added 9 days ago
AVP Senior AI ML Engineer
Bank OZK
Dallas, TX
Implements AI-powered applications using Python and Java, ensuring robust and maintainable codebases.
Added 9 days ago
Client Technology - Senior Software Engineering with AI Capabilities
EY
Fort Worth, TX · Dallas, TX · Austin, TX
Advanced knowledge of one or more of: C#/Java or Python
Added 9 days ago
Manager , Software Development & Engineering
Charles Schwab
Austin, TX
Development experience in one or more languages such as Python, PowerShell, or Java, with a focus on automation and operational tooling.
Added 9 days ago
Staff Product Security Engineer
ServiceTitan, Inc.
Remote, United States
Coding and Cloud Fluency: Proficiency reading and writing code in C#/.NET (preferred), Go, Java, or Python, and hands-on experience with Azure and/or AWS security services and IaC tooling…
Added 9 days ago
Software Engineer (L3) Email
Twilio
Remote, United States
Language Proficiency: Strong, hands-on production experience writing clean, idiomatic, and highly concurrent Go (Golang), Java or Python.
Added 9 days ago
AI Delivery Engineer - AWS Bedrock
Kunai
Remote, United States
What You Must Have
Added 9 days ago
Lead Engineer, AI Platform
Marketing Associates, LLC
United States
Experience building and operating 24x7, multi-region enterprise SaaS platforms on AWS, Google Cloud, or Azure, including infrastructure as code and disaster recovery planning.

Marketing Associates, LLC

Lead Engineer, AI Platform

United States

Apply on onemagnify.wd5.myworkdayjobs.com About employer

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Job details

Experience: 10+ years of software engineering experience, including 3+ years as a technical lead, architect, or similar leadership role supporting production systems.
Posting language: English
Posted: Nov 3, 2026

Original job description

OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.

Role Summary As Lead Engineer, AI Platform, you will own the architecture and evolution of the enterprise AI platform that powers AI agents across OneMagnify products and client solutions. This role sits at the center of engineering, product, data, and AI delivery, translating emerging AI capabilities into reliable, production-ready systems. You'll guide both technical direction and execution, helping teams deploy AI workflows that are secure, measurable, and trusted at scale. Your work will shape how OneMagnify builds, governs, and operates AI across the organization.

The Impact You'll Have AI agents are becoming a core part of how businesses automate work, deliver customer experiences, and make decisions. You'll create the platform foundation that enables product and engineering teams to move AI solutions from experimentation into reliable, enterprise-grade production environments. Your work will directly support client-facing applications, AI-powered workflows, and digital platforms where reliability, safety, and performance matter. From connecting agents to enterprise knowledge to establishing evaluation frameworks and governance controls, you'll help ensure AI solutions deliver measurable business outcomes while operating within clear guardrails. This role also plays a critical part in OneMagnify's integrated delivery model. You'll collaborate with product, engineering, data, security, and delivery teams to create shared capabilities that accelerate innovation while maintaining the scalability, governance, and operational discipline expected of enterprise software platforms.

What You'll Do Shape the AI Platform Strategy

Own the architecture for agent orchestration, multi-agent workflows, tool integrations, and human approval processes across the enterprise AI platform.
Evaluate models, frameworks, platforms, and vendors, making decisions that balance scalability, reliability, quality, and cost.
Partner with product and engineering leaders to ensure the platform supports current and future AI use cases.

Build Enterprise Knowledge & Context Systems

Design and implement retrieval pipelines and vector-based knowledge systems that connect AI agents to enterprise data and content.
Determine when prompting, retrieval-augmented generation, or model customization delivers the best business outcome.
Enable product teams to build AI experiences grounded in accurate, relevant enterprise knowledge.

Establish AI Quality, Safety & Governance

Create the frameworks used to evaluate AI performance, including offline and online evaluations, regression testing, red teaming, and release quality gates.
Design safeguards such as least-privilege access, sandboxing, audit trails, approval workflows, and usage controls.
Define measurable standards that allow teams to confidently deploy AI solutions into production environments.

Operate a Scalable Enterprise Platform

Lead the operation of a multi-region cloud platform with accountability for availability, performance, disaster recovery, security, and cost management.
Build observability capabilities including metrics, tracing, telemetry, alerting, and service-level objectives.
Lead incident response practices, on-call operations, escalation processes, and continuous improvement through post-incident reviews.

Lead Engineering Excellence

Mentor and develop engineers on the AI Platform team while establishing engineering standards and best practices.
Collaborate with engineering, product, and delivery teams to accelerate platform adoption and successful implementation.
Serve as a trusted technical leader for complex architectural decisions and cross-functional trade-offs.

What You'll Need

Experience in integrated marketing, digital agency, marketing services, or consulting environments.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
10+ years of software engineering experience, including 3+ years as a technical lead, architect, or similar leadership role supporting production systems.
Experience building and operating 24x7, multi-region enterprise SaaS platforms on AWS, Google Cloud, or Azure, including infrastructure as code and disaster recovery planning.
Strong production operations expertise, including observability, metrics, logging, distributed tracing, alerting, service-level objectives, incident response, and postmortem practices.
Experience designing and operating production AI and LLM-based systems, including agent orchestration, multi-agent architectures, tool integrations, context engineering, and Model Context Protocol (MCP) implementations.
Expertise with AI platforms such as Amazon Bedrock, Google Vertex AI, Azure AI Foundry, or similar enterprise AI ecosystems.
Experience building retrieval-augmented generation (RAG) solutions and working with vector databases and knowledge retrieval systems.
Deep understanding of AI evaluation, testing, governance, and safety practices, including evaluation datasets, LLM-as-judge frameworks, regression testing, and agent containment strategies.
Hands-on experience incorporating AI-assisted development workflows into CI/CD pipelines, including validation, review, and approval processes.
Experience integrating enterprise data platforms and designing secure multi-tenant SaaS environments with identity management, role-based access controls, and tenant isolation.
Fluency in Python, TypeScript, SQL, and Git-based CI/CD practices.
Proven ability to influence technical direction and collaborate effectively across engineering, product, security, and delivery teams.

Future-Ready Skills (Nice to Have)

Experience building self-service or low-code platforms that enable governed AI agent creation and deployment.
Familiarity with managed agent runtimes and agent frameworks from major cloud providers.
Knowledge of security, governance, and AI risk frameworks such as SOC 2, ISO 27001, NIST AI RMF, or ISO/IEC 42001.
Experience working within agency, consulting, client delivery, or automotive-focused environments.
Working knowledge of fine-tuning approaches, including supervised fine-tuning, LoRA/PEFT, and preference tuning.
Experience with additional backend languages such as Java, Go, or C#.
Experience using AI-enabled engineering workflows, automation, and platform engineering practices to improve development velocity and quality.

Benefits

We believe great work happens when people have the support and flexibility they need to thrive. Our benefits include medical, dental, and vision coverage, a 401(k) retirement plan, paid holidays, and Flexible Time Off (FTO) so you can take time away to recharge when you need it. We also offer additional programs focused on wellness, financial security, and professional growth.

We are an equal opportunity employer We believe that innovative ideas and solutions start with unique perspectives. That's why we're committed to providing every employee a workplace that's free of discrimination and intolerance. We're proud to be an equal opportunity employer and actively search for like-minded people to join our team.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.

Apply on onemagnify.wd5.myworkdayjobs.com About employer

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Jobs in the United States