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Ai Implementation Jobs in Washington, DC (NOW HIRING)

Humana

Senior AI Implementation Lead

Washington, DC · On-site +1

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 ...

Humana

Senior AI Implementation Lead

Washington, DC · On-site +1

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 ...

Humana

Senior AI Implementation Lead

Washington, DC · On-site +1

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 ...

ECS

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 ...

Cymertek Corporation

AI/ML Engineer

Reston, VA · On-site

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

Cymertek Corporation

AI/ML Engineer

Chantilly, VA · On-site

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

Vantor

AI/ML Engineer (SME)

Arlington, VA · On-site

... 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) • ...

Vantor

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) • ...

Citian

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 ...

Citian

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 ...

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How much do ai implementation jobs pay per year?

As of Aug 29, 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?

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For Ai Implementation jobs in Washington, DC, the most frequently searched job titles are:

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Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Washington, DC as of August 2026, with employment types broken down into 68% Full Time, 30% Part Time, and 2% Contract. Highlights an 60% Physical, 4% Hybrid, and 36% Remote job distribution, with an average salary of $117,245 per year, or $56.4 per hour.

AI Implementation Engineer - JobID-0245

Arlington, VA • On-site

Innovative Defense Technologies
IT Services • 51 - 200 employees
Learn more about Innovative Defense Technologiesexternal

$114K - $231K/yr

Full-time

Retirement, PTO

Re-posted 28 days ago

Job description

AI Implementation Engineer - JobID-0245
Department: Engineering
Employment Type: Full Time
Location: Arlington, VA
Compensation: $114,000 - $231,000 / year
Description
About The Role:
Innovative Defense Technologies (IDT), a leading defense technology company, is seeking an AI Implementation Engineer to be part of our Warfare Systems team and based out of our Arlington, VA or Mount Laurel, NJ location.
The AI Implementation Engineer will design and deliver engineering-focused AI solutions that move beyond demos into reliable, mission-relevant systems. This role is ideal for an engineer who has extensive experience with commercially available AI tooling/chat, hosting LLM servers and has demonstrated ability to build end-to-end capabilities including MCP integrations, RAG pipelines, tool-using agents, and production-grade AI workflows.
Clearance & Location Requirements:
  • All applicants must be able to obtain/maintain an active Secret U.S. Security Clearance.
  • This is an on-site position. Requiring at least 3 days in office, based out of our Arlington, VA location or Mt. Laurel, NJ location.

Key Responsibilities
What You Will Do:
  • Design and Build AI Solutions for On-Prem systems in Air-Gapped environment: Design and implement end-to-end agentic AI systems that support planning, reasoning, tool use, and multi-step execution in real-world environments. Build modular, testable components that move from prototype to operational capability.
  • Integrate Models and Tools for On-Prem systems in Air-Gapped environment: Develop integrations across LLMs, APIs, data sources, and Model Context Protocol (MCP) interfaces to enable intelligent agents to interact with external systems, retrieve context, and take action safely and reliably.
  • Develop Retrieval Pipelines for On-Prem systems in Air-Gapped environment: Build and optimize Retrieval-Augmented Generation (RAG) pipelines that connect models to live knowledge sources, structured data, and enterprise content to improve factual grounding, contextual relevance, and response quality.
  • Engineer Conversational and Agentic Interfaces for On-Prem systems in Air-Gapped environment: Create conversational systems and intelligent agents with memory, contextual awareness, adaptive decision-making, and support for multi-turn user and system interactions.
  • Implement and Evaluate AI Workflows for On-Prem systems in Air-Gapped environment: Translate technical objectives into working pipelines, run experiments, evaluate agent behavior, and iterate on prompts, orchestration logic, retrieval quality, and system performance to improve reliability and usability.
  • Architect local infrastructure to size, config, and optimize local CPU/GPU workloads, utilizing quantization techniques to maximize throughput, etc.
  • Orchestrate disconnected environments, design and maintain offline model update pipelines, local package mirrors, etc.
  • Scope and Define Requirements: Gather, document, and validate technical and functional requirements from project artifacts, stakeholders, and mission needs to ensure feasibility, completeness, and alignment with operational goals.
  • Collaborate Across Teams: Work closely with engineers, technical leads, and mission stakeholders to integrate AI capabilities into broader software and system architectures. Participate in technical reviews, design discussions, and delivery planning.
  • Support Technical Quality: Contribute to testing, debugging, and performance optimization of AI-enabled applications, including edge cases involving context management, retrieval failures, tool execution, and orchestration logic.
  • Learn and Apply Emerging Practices: Stay current on advances in LLMs, agent frameworks, orchestration methods, and applied AI engineering practices, and bring that knowledge into practical system design and implementation.
  • Communicate Technical Work: Clearly document architectures, workflows, assumptions, and implementation decisions so that solutions are maintainable, explainable, and transferable across teams.

Skills, Knowledge & Expertise
Who You Are (Required):
  • Bachelor's Degree in Information Technology, Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Physics, Math, or equivalent full-time professional experience; Master's Degree in Engineering or other technical field highly desired
  • 5-10+ years of professional experience in software engineering, machine learning engineering, AI engineering, or related technical roles
  • Proficiency in Python, including experience with core libraries such as NumPy and Pandas
  • Deep hands-on experience with production local inference engines such as vLLM, SGLang, Triton Inference Server, or TensorRT-LLM
  • Experience building software with one or more modern AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LangGraph, Semantic Kernel, or AutoGen
  • Experience with Linux and hardening (fapolicy/selinux/fips/etc)
  • Experience with commercially available AI tooling/chat
  • Experience with hosting LLM servers
  • Experience with hosting different models (chat/embedding)
  • Experience with distributed networking (reverse proxy/load balancing/firewalls/etc)
  • Experience with containerization
  • Ability to work independently on technical tasks while collaborating effectively in a team environment
  • Ability to shift from one project to another in an agile work environment
  • Strong leadership capabilities and skills
  • Strong documentation skills
  • Ability to travel up to 10% of the time, as needed

What Makes You Stand Out:
  • Experience hosting LLM servers on local hardware
  • Experience with various GPU architectures (NVIDIA preferred)
  • Experience with AI Gateways
  • Experience with LLM servers and model optimization (VRAM/layers/quantization/fasttensor/kv-cache/parallel/etc)
  • Experience with LLM toolcalling
  • Experience with RAG
  • Experience with vector stores
  • Experience with ModelContextProtocol
  • Experience with container orchestration
  • Experience managing and directing personnel while maintaining cost and schedule targets
  • Problem-solving skills with the ability to navigate ambiguous situations

If you see yourself reflected in this role and are excited about the impact you could make, we encourage you to apply! If you know someone who may be a great fit, please feel free to share this opportunity with your network.
Pay Range*: $114,000 - $184,000 or $135,000 - $231,000
This amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate's experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience.
Job Benefits
Why Work at Innovative Defense Technologies (IDT):
IDT is a growing company with a vibrant, entrepreneurial culture. We are headquartered in Arlington, VA with additional offices in Fall River, MA; Mount Laurel, NJ; and San Diego, CA. At each location, our employees work together in a modern, snack-filled, and social office space, designing innovative solutions for our defense industry customers. We offer employees competitive pay and benefits including:
  • Generous benefits package
  • Competitive PTO
  • Paid holidays
  • 401(k) with immediate vesting and matching
  • 9/80 optional schedule (2nd and 4th Friday off every month)
  • Tuition Assistance Reimbursement Program
  • Professional Development Resources
  • Pre-Tax Commuter Benefits
  • Organization-Wide Monthly Tech Connect Events
  • Annual Employee Recognition Awards
  • Regular Social Events and Catered Lunches

EEO Statement:
IDT is an Equal Opportunity employer.

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