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Ai Engineer Developer Jobs in Washington (NOW HIRING)

Guru Schools

AI Engineer

Washington, DC · On-site

AI Engineer Position Responsibilities 2-4 DAYS ON SITE AI Engineer 1. Background and Context The AI Engineer will play a pivotal role in designing, developing, and deploying artificial intelligence ...

Beyond SOF

AI Engineer

Washington, DC · On-site

The AI Engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems. Main Responsibilities and duties: Develop and implement artificial ...

Beyond SOF

AI Engineer

Washington, DC · On-site

The AI Engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems. Main Responsibilities and duties: Develop and implement artificial ...

Mindlance

AI Engineer

Washington, DC

$110K - $151K/yr

Developer Premium II - AI Engineer Location: Washington, DC Duration: 7 Months with long term extension Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated ...

Booz Allen Hamilton

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling * Experience working with AWS, Azure, or GCP cloud platforms ...

Booz Allen Hamilton, Inc.

AI Engineer

Fort Belvoir, VA · On-site

$99K - $225K/yr

Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling * Experience working with AWS, Azure, or GCP cloud platforms ...

Booz Allen Hamilton, Inc.

AI Engineer

Fort Belvoir, VA · On-site

$99K - $225K/yr

Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling * Experience working with AWS, Azure, or GCP cloud platforms ...

ECS

AI Engineer

Springfield, VA · On-site

Everforth ECS is seeking an AI Engineer to work in our Fairfax, VA office and Springfield, VA customer site to support the development of the next-generation Artificial Intelligence/Machine Learning ...

Plateau Software Inc

AI Engineer

Fairfax, VA · On-site

The AI Engineer will work as part of an Agile delivery team, collaborating closely with data scientists, cloud engineers, and system architects to design, develop, and operationalize AI-driven data ...

Booz Allen Hamilton, Inc.

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling * Experience working with AWS, Azure, or GCP cloud platforms ...

Booz Allen Hamilton, Inc.

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling * Experience working with AWS, Azure, or GCP cloud platforms ...

Booz Allen Hamilton

AI Engineer

Fort Belvoir, VA

$99K - $225K/yr

Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling * Experience working with AWS, Azure, or GCP cloud platforms ...

Booz Allen Hamilton

AI Engineer

Reston, VA

$99K - $225K/yr

Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling * Experience working with AWS, Azure, or GCP cloud platforms ...

Booz Allen Hamilton

AI Engineer

Fort Belvoir, VA

$99K - $225K/yr

Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling * Experience working with AWS, Azure, or Google Cloud Platform ...

SANS

AI Engineer -

Washington, DC

... Developer ) in day-to-day development workflows Strong proficiency in modern web frameworks ... AI agents/skills is a plus Familiarity with developer productivity measurement frameworks ( e.g ...

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Ai Engineer Developer information

What engineers make $500,000?

Senior AI engineer developers with extensive experience, advanced skills in machine learning, deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-demand industries or senior leadership roles. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

How much does an AI developer make?

An AI developer's salary varies based on experience, location, and skills, but typically ranges from $80,000 to $150,000 annually. Senior AI engineers with advanced expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries, especially in tech hubs or large companies.

What is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles such as AI Director, Chief AI Officer, or senior machine learning executives, often found in large tech companies or finance firms. These positions require advanced expertise in AI development, leadership skills, and often involve overseeing large teams or strategic AI initiatives, with compensation including base salary, bonuses, and stock options.

What is the difference between Ai Engineer Developer vs Data Scientist?

AspectAi Engineer DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related; programming skills; knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops AI models, algorithms, and systems; often in tech or R&D teamsAnalyzes data, builds models, and interprets insights; in analytics or research teams
Employer & Industry UsageTech companies, AI startups, R&D divisionsFinance, healthcare, marketing, and tech sectors

While both roles involve working with data and machine learning, Ai Engineer Developers focus on building and deploying AI systems and algorithms, whereas Data Scientists analyze data to extract insights and inform decision-making. The roles often overlap but differ in primary responsibilities and skill emphasis.

Which 3 jobs will survive AI?

AI engineers and developers are likely to continue thriving as they design, implement, and improve AI systems, requiring skills in programming, machine learning, and data analysis. Data scientists and cybersecurity specialists will also remain in demand to manage data insights and protect AI-driven systems. These roles involve complex problem-solving and adaptability that AI is less capable of replacing fully.
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What cities in Washington are hiring for Ai Engineer Developer jobs? Cities in Washington with the most Ai Engineer Developer job openings:
Ai Engineer Developer jobs near you

AI Engineer

Guru Schools

Washington, DC • On-site

Full-time

Posted 17 days ago

Job description

Overview:
AI Engineer Position Responsibilities
2-4 DAYS ON SITE
AI Engineer
1. Background and Context
The AI Engineer will play a pivotal role in designing, developing, and deploying artificial intelligence solutions that enhance operational efficiency, automate decision-making, and support strategic initiatives for the environmental and social specialists in the World Bank Group. This role is central to the VPU's digital transformation efforts and will contribute to the development of scalable, ethical, and innovative AI systems.
2. Qualifications and Experience
Education
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field. Experience
  • Minimum 3 years of experience in AI/ML model development and deployment.
  • Experience with MLOps tools (e.g., MLflow), Docker, and cloud platforms (AWS, Azure, GCP).
  • Proven track record in implementing LLMs, RAG, NLP model development and GenAI solutions. Technical Skills

  • Skilled in - Azure AI/Google Vertex Search, Vector Databases, fine-tuning the RAG, NLP model development, API Management (facilitates access to different sources of data)
  • Proficiency in Python, TensorFlow, PyTorch, and NLP frameworks.
  • Expertise deep learning, computer vision, and large language models.
  • Familiarity with REST APIs, NoSQL, and RDBMS.
Soft Skills
  • Strong analytical and problem-solving abilities.
  • Excellent communication and teamwork skills.
  • Strategic thinking and innovation mindset. 3. Certifications (Preferred)
  • Microsoft Certified: Azure AI Engineer Associate
  • Google Machine Learning Engineer
  • SAFe Agile Software Engineer (ASE)
  • Certification in AI Ethics 4. Objectives of the Assignment
  • Develop and implement AI models and algorithms tailored to business needs.
  • Integrate AI solutions into existing systems and workflows.
  • Ensure ethical compliance and data privacy in all AI initiatives.
  • Support user adoption through training and documentation.
  • Support existing AI solutions by refinement, troubleshooting, and reconfiguration 5. Scope of Work and Responsibilities

AI Solution Development
  • Collaborate with cross-functional teams to identify AI opportunities.
  • Train, validate, and optimize machine learning models.
  • Translate business requirements to technical specifications. AI Solution Implementation
  • Develop code, deploy AI models and into production environments, and conduct ongoing model training
  • Monitor performance and troubleshoot issues and engage in fine-tuning the solutions to improve accuracy
  • Ensure compliance with ethical standards and data governance policies. User Training and Adoption
  • Conduct training sessions for stakeholders on AI tools.
  • Develop user guides and technical documentation. Data Analysis and Research
  • Collect, preprocess, and engineer large datasets for machine learning and AI applications.
  • Recommend and Implement Data Cleaning and Preparation
  • Analyze and use structured and unstructured data (including geospatial data) to extract features and actionable insights.
  • Monitor data quality, detect bias, and manage model/data drift in production environments.
  • Research emerging AI technologies and recommend improvements. Governance, Strategy, Support, and Maintenance
  • Advise WBG Staff on AI strategy and policy implications
  • Contribute to the team's AI roadmap and innovation agenda.
  • Provide continuous support and contribute towards maintenance and future enhancements. 4. Deliverables[MP1]
  • Work on Proof of Concepts to study the technical feasibility of AI Use Cases

[MP1]Develop, train, and deploy AI models tailored to business needs.
Skills:
AI/ML,LLMs,RAG,NLP

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