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Ai Implementation Jobs in Washington, DC (NOW HIRING)

Become a part of our caring community The Senior Technology Implementation Professional delivers new AI technological solutions to meet business needs within a specified scope while aligned to ...

Become a part of our caring community The Senior Technology Implementation Professional delivers new AI technological solutions to meet business needs within a specified scope while aligned to ...

Become a part of our caring community The Senior Technology Implementation Professional delivers new AI technological solutions to meet business needs within a specified scope while aligned to ...

AI Methodologist

Springfield, VA · On-site

$175K - $210K/yr

You will partner directly with analytic teams to understand their most pressing intelligence questions, and design and implement AI solutions that others said could not be done. Build the adoption ...

Citizenship) Preferred : • Knowledge of reinforcement learning • Familiarity with generative AI models • Experience in edge AI implementation • Expertise in natural language processing • ...

Citizenship) Preferred : • Knowledge of reinforcement learning • Familiarity with generative AI models • Experience in edge AI implementation • Expertise in natural language processing • ...

... AI implementation and represents capabilities to senior stakeholders • Active Top Secret clearance with CI Polygraph Preferred : • Experience with cloud platforms (e.g., AWS, Azure, or GCP) • ...

AI Integration Engineer

Washington, DC

$117K - $158K/yr

As an AI Integration Engineer at Citian, you'll lead efforts incorporating AI into our products, bridging civil engineering domain knowledge with practical AI implementation. You will work alongside ...

AI/ML Engineer (Senior)

Reston, VA · On-site

$108K - $149K/yr

... AI implementation and represents capabilities to senior stakeholders • Active Top Secret clearance with CI Polygraph Preferred : • Experience with cloud platforms (e.g., AWS, Azure, or GCP) • ...

AI Integration Engineer

Washington, DC · On-site

$117K - $158K/yr

As an AI Integration Engineer, you will lead efforts incorporating AI into products, bridging civil engineering knowledge with practical AI implementation, while collaborating with cross-functional ...

Support rapid prototyping, testing, implementation, and continuous improvement of AI solutions. * Document AI use cases, workflows, findings, lessons learned, and recommendations. * Collaborate with ...

Support rapid prototyping, testing, implementation, and continuous improvement of AI solutions. * Document AI use cases, workflows, findings, lessons learned, and recommendations. * Collaborate with ...

AI Architect

Tysons, VA · On-site

$63.75 - $84/hr

Architect and implement the systems infrastructure underpinning client services platforms-designing for reliability, scalability, and security across all customer touchpoints. Own technical decisions ...

Lead AI Architect - OBIQUA

Reston, VA · On-site

$57.50 - $78.75/hr

Required Qualifications: • An advanced degree in Computer Science, Data Science, or a related field. • Demonstrated experience leading AI implementation projects • Desired Experience: Minimum ...

Lead AI Architect - OBIQUA

Reston, VA · On-site

$57.50 - $78.75/hr

Develop AI architectures, frameworks, and implementation strategies aligned with mission requirements. Oversee AI model lifecycle management, performance evaluation, and operational deployment.

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Ai Implementation information

See Washington, DC salary details

$44.2K

$117.2K

$190.3K

How much do ai implementation jobs pay per year?

As of Aug 17, 2026, the average yearly pay for ai implementation in Washington, DC is $117,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What are the most commonly searched types of Ai Implementation jobs in Washington, DC?

The most popular types of Ai Implementation jobs in Washington, DC are:

Infographic showing various Ai Implementation job openings in Washington, DC as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $117,245 per year, or $56.4 per hour.

AI Deployment Manager (AI Implementation Manager)

VIATEQ Corporation

Mclean, VA • Remote

$100K - $150K/yr

Full-time

Posted 6 days ago


Job description

VIATEQ Corporation is staffing an AI Deployment Manager role for our exclusive client. This position is ideal for professionals with experience as an AI or SaaS Implementation Manager, Solutions Delivery Manager, or Technical Project Manager who enjoy leading customer-facing deployments from planning through successful adoption.


As a member of our client's team, you will be assigned to support an AI company end client, serving as their AI Deployment Manager. In this high-impact, customer-facing role, you will work directly with the end client's enterprise customers to design, deploy, and optimize cutting-edge AI solutions. You will own delivery lifecycles end-to-end, lead complex deployments, collaborate across cross-functional teams, and help drive the successful adoption of innovative AI technologies.


This position is fully remote and requires a reliable internet connection. Primary working hours will align with the Eastern Time (ET) zone.


Responsibilities:
  • Lead end-to-end delivery of AI solution deployments for enterprise clients, from kickoff through go-live and post-launch optimization
  • Define success metrics with customer stakeholders and ensure deployments drive measurable business outcomes
  • Serve as the primary point of contact for customers during implementation, building trust, and maintaining alignment
  • Translate complex AI and technical concepts into clear, actionable plans for business stakeholders
  • Develop and manage detailed project plans, timelines, risks, and dependencies
  • Collaborate across cross-functional teams to ensure seamless execution
  • Identify and remove blockers proactively, driving projects forward with urgency and ownership
  • Support user adoption by aligning workflows, change management efforts, and performance tracking
  • Monitor performance metrics post-launch and recommend optimizations to maximize ROI

What You Bring to the Role:
  • 5+ years of experience leading SaaS, AI, or technical software implementations in enterprise environments (experience in conversational AI platforms like Cresta, Kore.ai, Yellow.ai, or similar is a plus)
  • Strong project management skills with a consultative, customer-first mindset
  • Demonstrated experience owning client relationships and engaging senior stakeholders
  • Technical fluency, including comfort working with technical concepts, data, and analytics
  • Ability to translate complex technology into clear, actionable steps
  • Proven track record of delivering projects on time and against defined success metrics
  • Strong problem-solving skills and ability to resolve complex implementation challenges
  • Experience working cross-functionally with engineering, product, and go-to-market teams
  • Comfort operating in a fast-paced, high-growth environment


Compensation Range:

$100,000-150,000. This represents the typical base compensation range for this position based on experience, location, and other factors.


Equal Opportunity Statement:

VIATEQ Corporation provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination, harassment, and retaliation in accordance with applicable federal, state, and local laws. This policy applies to all terms and conditions of employment including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.