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Vertex Remote Jobs in Virginia (NOW HIRING)

This position is currently remote; however, in accordance with federal contract requirements and ... Vertex, or Azure OpenAI. * Experience designing agentic systems: multi-step workflows, retrieval ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

MLOps: MLflow, Kubeflow, Vertex AI Pipelines, Feature Stores, CI/CD * Data quality and ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

MLOps: MLflow, Kubeflow, Vertex AI Pipelines, Feature Stores, CI/CD * Data quality and ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

GenAI Developer

Leesburg, VA · On-site +1

$115K - $165K/yr

Experience with AI/ML solutions or complex solutions for predictive analytics, such as Google Vertex AI and AWS Bedrock * Experience working in a geographically dispersed, remote team.

GenAI Developer

Ashburn, VA · On-site +1

$110K - $149K/yr

Experience with AI/ML solutions or complex solutions for predictive analytics, such as Google Vertex AI and AWS Bedrock * Experience working in a geographically dispersed, remote team.

Experience with AI/ML solutions or complex solutions for predictive analytics, such as Google Vertex AI and AWS Bedrock * Experience working in a geographically dispersed, remote team.

Full remote may be considered. About the Company Babel Street is the trusted technology partner for ... Familiarity with Vertex AI Agent Engine * Background in ADK and reasoning frameworks such as ...

Vertex Remote information

What is the difference between Vertex Remote vs Vertex Customer Support Specialist?

AspectVertex RemoteVertex Customer Support Specialist
Required CredentialsHigh school diploma or equivalent; relevant experienceHigh school diploma; customer service experience often preferred
Work EnvironmentRemote, home-basedRemote, home-based or office depending on employer
Industry UsageTax technology, finance, and softwareTax software support, finance, and customer service
Common Search/ComparisonYesYes

The comparison between Vertex Remote and Vertex Customer Support Specialist highlights that both roles often require similar credentials and are typically remote positions within the tax and finance industry. While Vertex Remote may encompass a broader range of roles within the company, the Customer Support Specialist focuses specifically on assisting clients with software issues. Both positions are suitable for individuals seeking remote work in customer service or technical support within the tax technology sector.

What are the key skills and qualifications needed to thrive as a Vertex Remote Tax Consultant, and why are they important?

To thrive as a Vertex Remote Tax Consultant, you need strong knowledge of tax regulations, compliance, and tax software, often supported by a degree in accounting or finance. Familiarity with Vertex tax automation software and ERP systems like SAP or Oracle, as well as certifications such as CPA, are typically required. Excellent analytical skills, attention to detail, and effective communication are vital soft skills for interpreting tax data and collaborating with clients. These skills ensure accurate tax compliance, efficient problem-solving, and high-quality client service in a remote environment.

What is a Vertex Remote job?

A Vertex Remote job typically refers to a position at Vertex, a software company specializing in tax technology, that allows employees to work from a remote location rather than a traditional office. These roles can range from software engineering and technical support to sales and customer service, depending on the company's needs. Working remotely for Vertex means using digital tools to collaborate with colleagues, attend virtual meetings, and accomplish daily tasks, all while enjoying the flexibility of working from home or another location. This arrangement is designed to provide work-life balance while maintaining productivity and engagement. Vertex supports remote employees with resources and technology to ensure effective communication and workflow.

What are some common challenges faced by professionals working in a remote position at Vertex, and how are they typically addressed?

Professionals working remotely at Vertex often encounter challenges such as maintaining effective communication with distributed teams and ensuring consistent access to company resources. To address these, Vertex typically provides robust collaboration tools, regular virtual meetings, and centralized project management platforms to keep everyone aligned. Remote employees are encouraged to proactively communicate and participate in team check-ins, helping to foster a strong sense of connection and support despite the physical distance.
What cities in Virginia are hiring for Vertex Remote jobs? Cities in Virginia with the most Vertex Remote job openings:
Infographic showing various Vertex Remote job openings in Virginia as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 40% Physical, 3% Hybrid, and 57% Remote job distribution.
Principal Engineer, API & MCP Platform

Principal Engineer, API & MCP Platform

Babel Street

Reston, VA • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago


Job description

Role Summary 

We are seeking a Principal Engineer to lead Babel Street's API and MCP platform strategy and delivery as we evolve toward an AI-native, agent-driven platform. 

This is a hands-on, senior technical leadership role responsible for defining and delivering API-first platform capabilities that enable both developers and AI agents to interact with Babel Street's services. You will lead the design and implementation of semantic APIs, Model Context Protocol (MCP) integrations, and context-aware service patterns that power next-generation intelligence workflows. 

This role requires a finger-on-keyboard engineer who can both define direction and deliver foundational systems. You will partner closely with AI, Data, and Platform teams to ensure Babel Street's APIs and services are consistent, discoverable, scalable, and optimized for agentic workflows. 

You will work in close partnership with the Architecture function to align on long-term technical direction, ensuring API and MCP platform decisions are consistent with the company's broader architectural vision while maintaining a strong focus on execution and delivery. 

This is a hybrid role working out of either our Reston, VA or Somerville, MA office. Full remote may be considered.

Why This Role Matters 

This role will be instrumental to Babel Street's AI-native technology strategy. The API and MCP platform will serve as the interface layer between data, AI, and product capabilities, enabling agents, developers, and systems to interact seamlessly. 

This is a high-impact, senior technical leadership role with broad influence across the organization and the opportunity to shape the future of Babel Street's platform.  The position spans four core domains: 

API Platform & Strategy 

You will define and lead Babel Street's API-first platform strategy, establishing consistent patterns for service design, versioning, discoverability, and governance. 

You will help evolve the platform toward agent-ready APIs, ensuring services are consumable by both human developers and AI agents. You will establish standards for API consistency, reliability, and performance across the organization. 

You will also work closely with product and engineering teams to ensure APIs are designed as first-class platform capabilities, not just service interfaces. 

MCP & Agent Integration 

You will lead Babel Street's Model Context Protocol (MCP) strategy and implementation, enabling agents and AI systems to interact with services in a standardized and scalable way. This includes defining patterns for: 

  • MCP service exposure 
  • Tool and service discovery  
  • Agent-to-service communication  
  • Context-aware interactions  

You will partner closely with AI and platform teams to enable agent-native workflows across the organization. 

Semantic APIs & Agent-Ready Interfaces 

You will lead the design of semantic, agent-friendly APIs, where documentation becomes a first-class interface for AI-driven systems. This includes defining standards for: 

  • API descriptions optimized for agents 
  • Schema consistency and semantic modeling  
  • Tool and service discoverability  
  • API documentation optimized for agent consumption  

You will establish best practices for documentation-as-code, ensuring APIs are designed for both developers and AI systems. 

Context Management & Runtime Patterns 

You will define patterns for context-aware APIs and services, including: 

  • Context management and retrieval 
  • Context caching  
  • Session and state management  
  • Memory-aware service interactions  

You will help design scalable context-aware systems leveraging technologies such as Vertex AI Context Caching and related frameworks. 

Key Responsibilities 

  • Partner closely with Architecture to define and lead Babel Street's API and MCP platform strategy 
  • Design and deliver semantic, agent-ready APIs  
  • Establish MCP standards and implementation patterns  
  • Define context management patterns for agent workflows  
  • Partner with AI and Data teams to enable agent-native architectures  
  • Establish API governance and platform standards  
  • Build foundational frameworks and reusable components  
  • Provide hands-on technical leadership and mentorship  
  • Partner with Google and other vendors on platform capabilities  
  • Drive adoption of API and MCP standards across engineering teams  

Required Qualifications 

  • 10+ years of software engineering experience 
  • Experience operating at Principal Engineer or Staff+ level 
  • Strong hands-on experience building distributed systems  
  • Experience designing and building API-first platforms 
  • Experience with cloud-native architectures (GCP preferred)  
  • Experience building developer platforms or service-oriented architectures  
  • Strong system design and architectural thinking skills 
  • Proven ability to lead cross-team technical initiatives  

Preferred Qualifications 

  • Hands-on work with Google Cloud Platform (GCP) 
  • Familiarity with Vertex AI Agent Engine  
  • Background in ADK and reasoning frameworks such as LangChain 
  • Understanding of the Model Context Protocol (MCP)  
  • Exposure to data warehouse technologies like BigQuery and Snowflake 
  • Knowledge of Apigee or similar API gateway solutions  
  • Proven ability to design semantic APIs for AI or agent-driven use cases  
  • Experience managing context or building memory systems  
  • Development of agent-based architectures or orchestration frameworks  
  • Exposure to Anti-Gravity 

What Success Looks Like 

30 Days 

  • Assess current API and platform architecture 
  • Define API and MCP platform strategy  
  • Identify early opportunities for standardization  

60 Days 

  • Deliver initial platform frameworks and standards 
  • Begin rollout of semantic API patterns  
  • Establish MCP integration approach  

90 Days 

  • Agent-ready APIs in production 
  • MCP-enabled services deployed
  • Clear platform standards adopted across teams
  • Measurable improvement in API consistency and developer velocity  

Benefits at Babel Street (just to name a few...)

  • Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances - for you and your family!
  • Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
  • Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
  • Holidays: Babel Street provides employees with 12 paid Federal Holidays
  • Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.                 

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their coworker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.