Software Developer (AI/ML), TS//SCI with Counterintelligence Polygraph Required

About this role

Location: Alexandria Accrete is an agentic managed services company: an AI workforce that does high-stakes, judgement-heavy work for government and enterprise clients — at the economics of software, not labor. At the core is Accrete’s Knowledge Engine, a dynamic context graph that captures an organization’s tacit knowledge, resolves data across silos, and builds a living, auditable ground truth. Expert agents reason against that ground truth to act on complex, high-stakes decisions — not just answer questions about them. From national security to commercial operations, Accrete delivers the work on one platform, with unlimited expert agents and expert judgement. The Role As a Software Developer (AI/ML) you will work at the intersection of data science, artificial intelligence, advanced analytics, and workflow automation. You will identify opportunities to automate complex, manual processes and build intelligent systems that can analyze data, make recommendations, and execute tasks with minimal human intervention. You will work on a multi-disciplinary team with mission specialists, AI/ML engineers, software engineers, product delivery specialists, and government end users to turn mission requirements into practical AI and automation solutions. This role requires strong technical depth, excellent analytical judgment, and the ability to move quickly from an ambiguous problem to a working solution. The ideal candidate has experience applying data science and AI to real-world problems and is excited about using modern AI technologies to automate knowledge-intensive work. What You'll Do AI & Automation Design and develop AI-driven automation solutions for complex government and national security workflows Identify manual, repetitive, and knowledge-intensive processes that can be improved through AI and automation Develop systems that combine data, machine learning, LLMs, and workflow automation to accomplish mission objectives Build intelligent workflows capable of extracting information, reasoning over data, generating outputs, and triggering downstream actions Develop and evaluate LLM-based applications, including retrieval-augmented generation, agents, tool use, and structured outputs Design approaches for human-in-the-loop and human-on-the-loop workflows in compliance with government legal and regulatory constraints Develop automated methods for data ingestion, classification, enrichment, transformation, and analysis Build rapid prototypes and iterate based on user feedback and system performance Evaluate automation opportunities based on accuracy, reliability, scalability, and mission impact Data Science & Analytics Analyze large, complex, and heterogeneous datasets to identify patterns and opportunities for automation Develop statistical and machine learning models to support AI-enabled applications Perform exploratory data analysis, feature engineering, model development, and evaluation Develop quantitative methods for measuring AI and automation performance Design experiments and evaluation frameworks for AI systems Investigate data quality issues and develop automated methods for validation and remediation Apply natural language processing, information retrieval, classification, entity resolution, anomaly detection, and other analytical techniques as appropriate Develop data pipelines and analytical workflows supporting production AI systems Production AI Partner with software and ML engineers to move data science prototypes into production Design scalable data and AI workflows that can operate reliably in production environments Monitor model and automation performance and identify opportunities for improvement Develop evaluation datasets, benchmarks, and automated testing approaches for AI systems Help establish best practices for responsible, ethical, and reliable deployments of AI capabilities Troubleshoot model, data, and system performance issues Contribute to the technical architecture of AI-enabled applications Develop software documentation Mission & Customer Collaboration Work directly with government customers and mission users to understand operational challenges Translate ambiguous mission requirements into technical approaches and measurable outcomes Demonstrate AI and automation capabilities to customers and stakeholders Gather user feedback and incorporate it into iterative product development Explain complex AI concepts, capabilities, limitations, and results to technical and non-technical audiences Identify additional opportunities where AI and automation can deliver measurable mission value What We're Looking For Active TS//SCI clearance with Counterintelligence or Lifestyle Polygraph 5+ years of experience in data science, machine learning, AI, quantitative analysis, or a related technical field Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline Strong experience with C++, Python, Java, SQL, and any equivalent programming skills Deep understanding of machine learning, statistics, and data science fundamentals Hands-on experience building and deploying machine learning or AI systems Experience applying LLMs or other modern AI techniques to real-world applications Experience designing automated data or business workflows Strong understanding of model evaluation, experimentation, and performance measurement Ability to work across the full lifecycle from data exploration and prototyping through production deployment Strong analytical and problem-solving skills Excellent written and verbal communication skills Ability to operate independently and take ownership of ambiguous technical problems Preferred Qualifications Experience building AI agents or agentic workflows Experience with LLM APIs, open-source language models, embeddings, RAG, vector databases, or tool calling Experience with NLP, information extraction, semantic search, or knowledge graphs Experience building production d