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Vector Development Jobs in Washington, DC (NOW HIRING)

Familiarity with AWS Bedrock, Databricks, and vector database ecosystems. * Background in designing AI-driven scientific or research workflows. * Strong prompt-engineering or AI agent-development ...

We have offices in VA,MD & Offshore development centers in India.We have successfully excuted 100 ... Understand Call Center features; such as, Automatic Call Distributions (ACD), Call Vectors, and ...

We have offices in VA,MD & Offshore development centers in India.We have successfully excuted 100 ... Vectors, and Vector Directory numbers (VDN). • Ability to develop work and call flows • ...

Senior GenAI Engineer

Reston, VA · On-site

$108K - $149K/yr

The ideal candidate will have strong expertise in Python-based backend development, LLM -powered applications, cloud-native deployment, vector databases, and modern DevOps practices . This role ...

Architect and operationalize RAG pipelines , embeddings, vector databases, and LLM-powered ... Strong hands-on experience in Python development for AI/ML and GenAI solutions. * Proven experience ...

Evaluate and recommend tooling across the ML/GenAI stack (MLflow, feature stores, vector databases, orchestration tools). * Drive documentation and reusable patterns for ML and GenAI development.

Evaluate and recommend tooling across the ML/GenAI stack (MLflow, feature stores, vector databases, orchestration tools). * Drive documentation and reusable patterns for ML and GenAI development.

Evaluate and recommend tooling across the ML/GenAI stack (MLflow, feature stores, vector databases, orchestration tools). * Drive documentation and reusable patterns for ML and GenAI development.

MLOps Architect

Arlington, VA · On-site

$117K - $189K/yr

Evaluate and recommend tooling across the ML/GenAI stack (MLflow, feature stores, vector databases, orchestration tools). * Drive documentation and reusable patterns for ML and GenAI development.

... vector database ecosystems. • Background in designing AI-driven scientific or research workflows. • Strong prompt-engineering or AI agent-development experience. Company : Accenture Federal ...

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Vector Development information

What is the difference between Vector Development vs Data Analyst?

AspectVector DevelopmentData Analyst
Required CredentialsBachelor's in Computer Science, Engineering, or related fields; programming skillsBachelor's in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentTech companies, R&D labs, software development teamsBusiness, finance, healthcare, and marketing sectors
Industry UsageAI, machine learning, computer vision, roboticsData interpretation, reporting, business insights

Vector Development involves creating algorithms and models for AI and machine learning applications, often requiring programming expertise. Data Analysts focus on interpreting data, generating reports, and providing insights to support business decisions. While both roles work with data and require analytical skills, Vector Developers are more technical and programming-oriented, whereas Data Analysts emphasize data interpretation and communication.

What are popular job titles related to Vector Development jobs in Washington, DC? For Vector Development jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Vector Development jobs in Washington, DC look for? The top searched job categories for Vector Development jobs in Washington, DC are:
AI Engineer

Other

Posted 17 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

48th of 437 rated business services


Job description

The work: 

Key Responsibilities:

  • Build AI systems that power a scientific discovery platform for our federal client.
  • Develop conversational interfaces that allow users to access complex, multi-domain scientific datasets using natural language.
  • Design AI agents that automate experimental data processing at scale.
  • Implement retrievalaugmented generation (RAG) architectures to transform decades of scientific research into actionable intelligence.
  • Collaborate with stakeholders to solve one of the client's 26 "lighthouse challenges" requiring faster, smarter decision-making.
  • Work across technologies such as AWS Bedrock, Databricks, vector databases, and advanced promptengineering techniques.
  • Build agent frameworks supporting scientific discovery in areas like subsurface geology, supply chain intelligence, and materials science.

Here is what you need:

  • US Citizen or Dual citizen (Public Trust eligible)
  • 5+ years of relevant professional experience.
  • Deep technical expertise in large language models (LLMs).
  • Strong hands-on experience building and implementing RAG systems.
  • Ability to work within fast-paced, cross-functional teams.
  • Readiness to dive deep into advanced AI platforms and architectures.

Preferred experience:

  • Experience working with scientific datasets or domain areas such as geology, materials science, or supply chain intelligence.
  • Familiarity with AWS Bedrock, Databricks, and vector database ecosystems.
  • Background in designing AI-driven scientific or research workflows.
  • Strong prompt-engineering or AI agent-development experience.

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

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