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Rft Jobs in Virginia (NOW HIRING)

Deloitte

Lead Forward Deployed Engineer - AWS

Mclean, VA · On-site

$103K - $136K/yr

Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs * Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures * Experience ...

Deloitte

Forward Deployed Engineer- AWS

Richmond, VA · On-site

Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs * Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures * Experience ...

Merck & Co.

Director, Operations - API

Elkton, VA · On-site

$173.20 - $272.60/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Ensure safe, compliant, and reliable and RFT API operations in support of production and supply objectives. * Lead operational reviews and daily management routines to maintain visibility to ...

Deloitte

Senior Forward Deployed Engineer- AWS

Mclean, VA · On-site

$105K - $145K/yr

Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs * Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures * Experience ...

Deloitte

Forward Deployed Engineer- AWS

Mclean, VA · On-site

Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs * Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures * Experience ...

Merck

Director, Operations - API

Elkton, VA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Ensure safe, compliant, and reliable and RFT API operations in support of production and supply objectives. * Lead operational reviews and daily management routines to maintain visibility to ...

Town of Leesburg, VA

Police Officer (Entry Level)

Leesburg, VA · On-site

$68K - $119K/yr

  • Medical

  • Retirement

RFT Job Number: 01248 Department: Leesburg Police Opening Date: 02/20/2026 About the Town of Leesburg and Nature of Work This is responsible municipal law enforcement work in the protection of the ...

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Showing results 21-40

All JobsRft JobsRft Jobs in Virginia

Rft information

See Virginia salary details

$17

$39

$61

How much do rft jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for rft in Virginia is $39.46, according to ZipRecruiter salary data. Most workers in this role earn between $31.20 and $45.29 per hour, depending on experience, location, and employer.

What is the difference between Rft vs Draftsman?

AspectRftDraftsman
Required CredentialsTypically requires certification in drafting or CAD softwareOften requires a diploma or certificate in drafting or architecture
Work EnvironmentDesign firms, construction companies, engineering projectsArchitectural firms, engineering offices, construction sites
Industry UsageCommonly used in engineering, construction, and architecturePrimarily used in architecture and construction
Job FocusCreating detailed technical drawings and specificationsPreparing preliminary and detailed drawings for projects

Both Rft and Draftsman roles involve creating technical drawings, but Rft often emphasizes advanced CAD skills and certification, while Draftsman roles may focus more on traditional drafting education. Understanding these differences helps in choosing the right career path or job search focus.

What is an RFT?

RFT stands for 'Regular Full-Time.' RFT positions refer to jobs where employees work the standard number of hours per week as defined by the employer, typically around 35 to 40 hours. These roles often come with full benefits, such as health insurance, paid time off, and retirement plans, because they are considered permanent, ongoing positions. RFT employees usually have more job security and access to workplace resources compared to part-time or temporary staff.

What are some common challenges faced by Registered Forest Technologist professionals in their daily work?

Registered Forest Technologists often encounter challenges such as balancing sustainable forest management with regulatory compliance and operational efficiency. Fieldwork can involve navigating remote or rugged terrain and adapting to changing weather conditions, which requires strong problem-solving skills and flexibility. Additionally, RFTs frequently collaborate with multidisciplinary teams, including biologists, engineers, and government officials, which makes communication and teamwork essential. Staying current with evolving forest management practices and technology is also important for success and advancement in this role.

What are the key skills and qualifications needed to thrive as a Radio Frequency Technician?

To thrive as a Radio Frequency Technician (RFT), you need a solid understanding of electronics, RF theory, and troubleshooting, often backed by an associate degree or technical certification in electronics or telecommunications. Familiarity with RF test equipment like spectrum analyzers, signal generators, and network analyzers, as well as certifications such as the ETA International Certified RF Technician, is commonly required. Attention to detail, problem-solving, and effective communication are crucial soft skills in this position. These skills ensure accurate diagnostics, effective maintenance, and reliable operation of RF systems that are critical for telecommunications and broadcasting.

What are popular job titles related to Rft jobs in Virginia?

For Rft jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Rft jobs in Virginia look for?

The top searched job categories for Rft jobs in Virginia are:

Rft jobs near you
Infographic showing various Rft job openings in Virginia as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,081 per year, or $39.5 per hour.

Lead Forward Deployed Engineer - AWS

Deloitte

Mclean, VA • On-site

$103K - $136K/yr

Full-time

Re-posted 4 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Work you'll do

As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with AWS AI&Data including hands on experience with one of the following key platforms/products: Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails
  • 1+ years of experience with AWS Neptune and OpenSearch
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • At least 3 of 6 certifications from the following list: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate)
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $189,200 to $372,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Work you'll do

As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with AWS AI&Data including hands on experience with one of the following key platforms/products: Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails
  • 1+ years of experience with AWS Neptune and OpenSearch
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • At least 3 of 6 certifications from the following list: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate)
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $189,200 to $372,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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