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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Development Manager (AI/ML) - **Company:** Anonymous Employer - **Location:** Herndon, VA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Optical Character Recognition (OCR), Computer Vision, Confluence, JIRA, Unit Testing, Big Data, Cloud Engineering, Apache Lucene, Databases, D3.Js, Extract Transform Load (ETL), Data Visualization, Linux, Distributed Systems, Elasticsearch, Github, Design of User Interfaces, Python (Programming Language), Linux System Administration, Machine Learning, Natural Language Processing, Named Entity Recognition, NLTK (NLP Analysis), NoSQL, Object-Oriented Software Development, Scrum Methodology, Raw Data, Tensorflow, Sentiment Analysis, Shell Script, Software Engineering, Apache Solr, SQL Databases, Tableau (Software), Unstructured Data, Web Services, Enterprise Search, Pytorch, Indexer, Backend, Keras, Gitlab, Pandas, Containerization, AngularJS, Search Engines, Machine Learning Operations, Front End Software Development, Text Analysis, Spacy, Data Pipelines, Docker, Microservices - **Published:** June 3, 2026 - **Apply:** https://www.clearancejobs.com/jobs/8952168/software-development-manager-aiml ## About the Role * Polyglot Backend Expertise: 4-6 years of deep backend proficiency splitting production environments between Python (preferred language) and Java utilizing Object-Oriented Design patterns. * Modern Frontend Systems: 4-6 years of hands-on experience building sleek, scalable user interfaces using Angular. * Cloud Architecture & Infrastructure: 6-8 years of expertise designing and deploying secure, enterprise-level architectures within Amazon Web Services (AWS) or equivalent secure government cloud environments. * Enterprise Search & Analytics: 6-8 years working heavily with massive search engine frameworks such as Elasticsearch, OpenSearch, or Solr/Lucene. * Databases & Containers: 6-8 years managing a diverse database landscape across both SQL and NoSQL paradigms, paired with deep containerization experience using Docker or Podman. * Advanced Linux Engineering: 6-8 years of intensive Linux system administration experience, including shell scripting, drive mounting, environment configuration, and memory/process performance diagnostic diagnostics. * Data Pipelines & AI Foundations: 2-3 years of direct exposure to data science concepts, machine learning development workflows, and 2-4 years of heavy ETL pipeline engineering with massive, messy data sets. * Agile Workflows: Proven experience leading development sprints using Jira, Confluence, and GitHub/GitLab. Highly Desired (Bonus) Skills: * Advanced text analytics implementations (e.g., entity extraction, sentiment analysis, document summarization, and categorization). * Experience evaluating state-of-the-art ML algorithms and building out ML-focused Proof of Concepts. * Exposure to industry-standard ML and Natural Language Processing (NLP) frameworks like PyTorch, TensorFlow, Keras, spaCy, or NLTK. * Familiarity with advanced data disciplines like Optical Character Recognition (OCR), Named Entity Recognition (NER), BERT models, image recognition, or fuzzy search indexing. * Experience utilizing data visualization toolsets (e.g., Pandas, Tableau, D3.js). ## Description We are seeking an expert Software Development Manager / Lead Engineer to spearhead the evolution of an enterprise-wide, data-centric mission management platform. Operating at the intersection of big data, distributed systems, and advanced analytics, you will lead a talented, multi-disciplinary team of Software Developers, ETL Engineers, and Data Scientists. This is a hands-on technical leadership role for an elite engineer who thrives on building scalable architecture from the ground up. You will own the design and implementation of high-performance, distributed web services capable of processing petabyte-scale structured and unstructured data. Your mission is to integrate production-grade Artificial Intelligence and Machine Learning (AI/ML) capabilities into workflows that enable mission users to rapidly access, extract, and exploit critical information., * AI/ML Integration: Drive the seamless integration of state-of-the-art AI/ML models and data science capabilities into a high-availability production environment. * Architecture & Scalability: Architect, optimize, and enhance microservices-based platforms, ensuring extreme performance, robust security posture, and seamless handling of massive raw data ingest pipelines. * Hands-on Development & Prototyping: Design, write, and unit-test high-quality code. Build rapid, high-fidelity prototypes to solidify functional requirements and drive technical strategy. * Technical Leadership & Stakeholder Management: Deconstruct complex technical concepts into discrete development tasks, lead iterative Agile sprints (Scrum/Kanban), and deliver high-impact demonstrations to both technical and non-technical stakeholders. * Documentation & Governance: Champion the creation of comprehensive technical documentation, application workflow blueprints, and compliance procedures to support program milestones and control gates. ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)