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Langgraph Jobs in Reston, VA (NOW HIRING)

MANTECH

AI Engineer

Washington, DC · On-site

Preferred : • Experience with LangGraph, Semantic Kernel, and agentic AI systems. • Familiarity with Ray, NVIDIA GPU ecosystems, or Vector databases. • Advanced degree (Master's or PhD) in a ...

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

... LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions • Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability • Collaborate ...

Accenture Federal Services

AI Engineer

Arlington, VA

Leverage tools and frameworks such as LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions * Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance ...

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

... LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions • Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability • Collaborate ...

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

Leverage tools and frameworks such as LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions * Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance ...

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

... LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions • Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability • Collaborate ...

Snowrelic Inc

Senior UI Developer

Mclean, VA · Remote

$61.50 - $79.50/hr

Experience with LangGraph, LangChain, or similar agent orchestration frameworks * Knowledge of semantic web technologies and knowledge graphs * Experience with A/B testing and user interaction ...

Software Guidance & Assistance

Data Engineer

Rockville, MD

$116.70K - $140.20K/yr

Stay informed of advances in LLM frameworks (LangGraph, Google ADK, AWS Strands) and emerging AI capabilities * Write clean, well-tested code; contribute to CI/CD Jenkins pipelines and infrastructure ...

Frontier Technology Inc.

AI/ML Engineer

Washington, DC · Remote

$140K - $220K/yr

Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy. * Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.

Frontier Technology Inc.

AI/ML Engineer

Washington, DC · Remote

$140K - $220K/yr

Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy. * Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.

Bellagent

Head of Engineering / Tech Lead

Washington, DC · On-site

$116.10K - $152.90K/yr

LangChain and LangGraph * Modular AI pipelines and orchestration frameworks Execution and Engineering Operations * Set engineering standards, best practices, and code quality expectations * Make ...

ManTech

AI Engineer

Washington, DC

$114.60K - $190.20K/yr

Operationalize AI agents using advanced frameworks like LangGraph or Semantic Kernel. Minimum Qualifications: * Bachelor's degree in Computer Science, Engineering, or a related technical field. * 5 ...

ManTech International

AI Engineer

Washington, DC · On-site

$114.60K - $190.20K/yr

Operationalize AI agents using advanced frameworks like LangGraph or Semantic Kernel. Minimum Qualifications: * Bachelor's degree in Computer Science, Engineering, or a related technical field. * 5 ...

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Langgraph information

What are the key skills and qualifications needed to thrive as a Langgraph engineer, and why are they important?

To thrive as a Langgraph engineer, you need a strong background in software engineering, proficiency in Python, and a solid understanding of AI/ML concepts, usually supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), API integrations, and version control systems such as Git is essential. Effective problem-solving, collaboration, and clear communication are crucial soft skills for working with multidisciplinary teams and resolving complex issues. These capabilities are important because they enable the development, scaling, and maintenance of robust AI-driven applications using the Langgraph platform.

What are some common challenges faced by Langgraph developers when integrating their workflow with existing AI infrastructure?

Langgraph developers often encounter challenges when integrating their workflow with existing AI infrastructure, such as ensuring compatibility with various large language models and managing data flow across multiple APIs. Coordination with data engineers and machine learning specialists is crucial to align model outputs with business requirements, and adapting to rapidly evolving technologies can require continuous learning. Additionally, optimizing performance and maintaining security standards during integration are key considerations to ensure successful deployment.

What is a Langgraph?

Langgraph is a framework designed to build, manage, and orchestrate complex workflows for large language models (LLMs). It allows developers to create directed graphs of language model prompts, tools, and custom logic, making it easier to design multi-step, stateful AI applications. Langgraph is especially useful for building conversational agents, automated workflows, and other applications that require LLMs to interact with data or tools in a structured way.

What is the difference between Langgraph vs Data Analyst?

AspectLanggraphData Analyst
Required CredentialsTypically requires knowledge of language processing and graph databasesUsually requires a degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI research labs, data-driven organizationsBusiness, finance, healthcare, and marketing sectors
Industry UsageEmerging role in AI and NLP projectsEstablished role in data interpretation and reporting

While Langgraph focuses on language processing and graph database integration, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills, but Langgraph specialists often have a background in AI and NLP, whereas Data Analysts typically hold degrees in statistics or related fields.

What are popular job titles related to Langgraph jobs in Reston, VA? For Langgraph jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Langgraph jobs in Reston, VA look for? The top searched job categories for Langgraph jobs in Reston, VA are:
What cities near Reston, VA are hiring for Langgraph jobs? Cities near Reston, VA with the most Langgraph job openings:
Langgraph jobs near you

Generative AI Architect (GenAI / LLM Architect)

Purple Drive Technologies

Mclean, VA • On-site

$63.75 - $84/hr

Full-time

Posted 2 days ago

Job description

Overview:
Generative AI Architect (GenAI / LLM Architect)
Job Summary
We are seeking an experienced Generative AI Architect to design and lead enterprise-scale AI solutions.
The ideal candidate will define the AI vision, architecture, and governance frameworks, with deep expertise in Large Language Models (LLMs), vector databases, and cloud-based AI deployments.
Key Responsibilities
Architecture & Strategy
  • Define and design end-to-end AI solution architecture
  • Establish enterprise AI vision, standards, and best practices
  • Translate business problems into scalable AI architectures
GenAI & LLM Solutions
  • Design and implement solutions using:
    • Large Language Models (LLMs) (GPT, Llama, Claude, etc.)
    • Frameworks like LangChain / LangGraph
  • Build RAG (Retrieval-Augmented Generation) pipelines
Data & Vector Architecture
  • Design and manage vector databases:
    • Pinecone, FAISS, Weaviate, Milvus, Chroma
  • Enable semantic search, embeddings, and knowledge retrieval systems
Cloud & Deployment
  • Architect and deploy AI solutions on:
    • AWS / Azure / GCP
  • Design scalable, secure, and high-performance AI systems
Responsible AI & Governance
  • Define and implement:
    • Responsible AI frameworks
    • AI governance and compliance standards
  • Ensure fairness, explainability, and ethical AI usage
Leadership & Collaboration
  • Lead cross-functional teams (engineering, data, product)
  • Provide architectural guidance and mentorship
  • Communicate technical solutions to stakeholders
• Required Skills
Core AI Skills
  • Strong expertise in:
    • Generative AI / LLMs
    • AI/ML frameworks
Technical Skills
  • Python and ML libraries
  • Experience with:
    • LangChain / LangGraph
    • OpenAI / Hugging Face
Data & Vector DB
  • Hands-on experience with:
    • Vector databases (Pinecone, FAISS, etc.)
  • Knowledge of embeddings and semantic search
Cloud Platforms
  • AWS / Azure / GCP
  • Experience deploying AI solutions in production
Architecture
  • Enterprise architecture
  • Solution design and scalability
Governance
  • Responsible AI
  • AI ethics and compliance
Preferred Skills
  • Experience in enterprise AI transformation programs
  • Exposure to MLOps pipelines
  • Strong stakeholder management
Experience Required
  • 8-10+ years of experience in AI/ML
  • Proven experience in AI architecture and solution design
  • Master's degree in Computer Science or related field (preferred)

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