Software Engineer, Senior Architect (AI Integration) - Tech Lead New Fort Meade, MD

Clarity Innovations, LLC; Fort Meade (MD); On-site; USD 90,000 - 150,000; Full time

Job summary

This innovative firm is seeking a Senior Software Engineer to lead AI integration projects that empower national security efforts. You will architect large-scale AI solutions across cloud environments while utilizing cutting-edge tools and methodologies. Join a team that values innovation and collaboration, where your expertise will drive impactful solutions for complex challenges. If you are passionate about technology and eager to make a difference in national security, this is the perfect opportunity for you to thrive and grow in a supportive environment.

Qualifications

• Experience in AI integration and large-scale AI solutions.
• Hands-on experience with Python, Kubernetes, and cloud-native computing.

Responsibilities

• Lead technical presentations and discussions with customers.
• Architect and deliver AI solutions across multiple environments.

Skills

Python

AI/ML Model Development

Kubernetes

Cloud Services (AWS, Azure)

Machine Learning

GenAI Tools (spaCy, NLTK)

Infrastructure Management

Technical Presentation Skills

Education

Degree in Computer Science

Degree in Engineering

Degree in Mathematics

Tools

AWS

Azure

Ollama

Job description

Software Engineer, Senior Architect (AI Integration) - Tech Lead

Fort Meade, MD

Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world.

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.

We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security.

Seeking an experienced software engineer with experience in AI integration to architect and deliver large-scale AI solutions across AWS, Azure, and on-premises environments, with strong expertise in cloud-native and hybrid computing. The ideal candidate will have hands-on experience in AI/ML model development, deployment, and hosting, as well as proficiency in Python, Kubernetes, and infrastructure management. Proven leadership in both technical and team lead roles is essential, along with a deep understanding of AI use cases and the ability to build tools and frameworks for scalable enterprise applications. Experience integrating cloud and on-prem resources and driving cross-functional collaboration is highly valued. This role must have an understanding of GPU-based computing architectures and deployments of containerized AI models and microservices on CSP infrastructure and edge computing air-gapped systems.

This person will be responsible for leading technical presentations and discussions with the USCC customer and will be responsible for synergizing advancements made within this project with other JDE projects, to ensure appropriate parallel development and integration of AI models is achieved.

Technical Background Requirements

• Degree in Computer Science, Engineering, Mathematics, or similar
• Experience programming in Python, R, or Matlab
• Experience with Machine Learning (ML) and Large Language Models (LLM)
• Experience programmatically interacting with cloud (e.g.: Amazon Web Service (AWS), Microsoft Azure) services and products (bonus would be experience leveraging CSP AI services (e.g., Bedrock, Azure OpenAI Service)
• Experience with GenAI tools and models, such as, spaCy, NLTK, Gensim, ChatGPT, huggingface, or BERT
• In depth understanding of AI protocols and standards (e.g., MCP)
• Experience enabling frontier models for multiple use cases (vibe coding, API-backed app development, multimodal and agentic workflows)
• Experience with design and implementation strategy around AI API gateways and an understanding of the services required to support enterprise development (FinOps, MLOps, rate limiting capabilities, etc.)
• Knowledge of running and managing local models in offline environments (e.g., deploying and using Ollama), including considerations for compute requirements and latency
• Have experience examining governance, guardrails, and policies managing AI solutions for enterprise customers
• Experience with unsupervised learning models, foundational modeling, and/or prompt engineering
• Experience presenting to clients or other decision makers to present and sell ideas to various audiences (technical and non-technical)

Additional Requirements

• Active TS/SCI w/CI Poly
• Available to work onsite at Fort Meade, MD a minimum 3 days per week
• This person will be responsible for breaking out tasking into 2-weeks sprints, planning work based on customer timeframes, and will need to ensure the rest of the team is organized and delivers on time
• This person will be required to present and discuss their technological solutions to key stakeholders and maintain an active strategic technical dialogue with the customer leadership
• Familiarity with the Cyber Operations Domain
• Familiarity with Cross-Domain Solution (CDS) dataflows, schemas, and operations
• Familiarity with Scaled Agile Framework

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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