Opportunities from Smxtech (greenhouse)

SMX is seeking a Knowledge Systems Integrator to support government client at Camp Smith. The Knowledge Systems Integrator (KSI) / Knowledge Manager will enable units to leverage emerging AI technologies and integrate them with DOW operational technology (OT) to enhance mission effectiveness. This role is responsible for integrating Knowledge Management practices with SharePoint, Power Platform, Maven Smart System, and other tools used to support military, defense, intelligence, operational, and business process workflows. This role ensures interoperability between advanced analytic tools and current OT systems across air, space, cyber, and Joint operational domains. The KSI leads rapid prototyping, experimentation, and deployment of AI enabled capabilities while applying KM principles to ensure knowledge sharing, adoption, and sustained utility. The Knowledge Systems Integrator helps ensure that organizational knowledge is not only stored, but structured, governed, searchable, reusable, and ready to support AI-enabled workflows. This position requires a current DoD Top Secret SCI security clearance which requires US citizenship for work on DoD contracts. This position is full-time onsite in Aiea, Hawaii. Essential Duties & Responsibilities Design, build, and support AI-integrated systems that improve client workflows and decision-making. Transform operational and business processes into tools that can be integrated into AI-enabled environments. Support Maven Smart System as the primary AI and operational integration platform. Develop AI-enabled workflows that connect organizational knowledge, data, tools, and decision processes. Support the design and development of in-house LLM capabilities trained or turned on approved organizational data, where authorized. Develop retrieval-augmented generation workflows using trusted organizational data sources. Support AI agent workflows that retrieve information, summarize content, call tools, generate draft products, and support human decision-making. Design prompt templates, prompt chains, structured outputs, and reusable AI patterns. Integrate AI systems with cloud environments, APIs, databases, knowledge repositories, dashboards, and workflow tools. Support embedding models, vector search, knowledge retrieval, data ingestion, and AI search capabilities. Develop rapid solution development, prototyping, and fielding of emerging technologies to test and evaluate AI system performance, accuracy, relevance, and usefulness. Work with the AI Integrator and Knowledge Systems Integrator to ensure AI tools are operationally useful, adopted by users, and connected to real client workflows. Support AI governance, human-in-the-loop review, data protection, and auditability. Coordinate with partner organizations, technical teams, and operational stakeholders to ensure AI tools meet SOF operational requirements. Develop training programs, documentation, and knowledge sharing initiatives to optimize adoption of AI enabled tools. Apply KM frameworks to ensure knowledge capture, retention, and continuous improvement within AI enabled operations. Required Skills & Experience   The requirements are structured to welcome entry-to-mid-level KMs who are eager to learn, while highly valuing technical capabilities as growth accelerators. Required Qualifications: Bachelor’s degree in Knowledge Management, Information Systems, Computer Science, Business Administration, Intelligence Studies, Military Studies, or related field. 4–6 years of relevant experience; additional experience may substitute for degree. Experience with SharePoint, Microsoft 365, Power Platform, Power Automate, Power Apps, and Power BI. Experience supporting military, defense, intelligence, operations, or business process environments. Ability to manage knowledge repositories, metadata, taxonomy, content lifecycle, and governance. Familiarity with Maven Smart System or Palantir-based platforms preferred. Working knowledge of AI-enabled search, retrieval, automation, and knowledge workflows preferred. Must meet applicable DoD 8140 / DCWF requirements. IAT Level II or IAM Level I equivalent certification preferred. Experience: 1+ years of experience administering digital document libraries, corporate wikis, intranets, or collaboration portals (e.g., SharePoint, Confluence, Teams). Desired Skills & Experience   Preferred Qualifications: (Candidates who do not possess these skills will be trained and upskilled in these areas) Knowledge Management practices and principles SharePoint administration or power-user experience Microsoft Power Platform familiarity Requirements gathering & Business process mapping Metadata, taxonomy, and content organization Military or defense operational awareness Collaboration with technical and non-technical stakeholders Documentation and user support Working knowledge of AI-enabled tools Experience with Maven Smart System or Palantir-related tools (Ontology, Pipeline Builder), AWS (S3, Bedrock, Kendra), or advanced Microsoft Azure cloud tools. Experience supporting operational or intelligence organizations Familiarity with AI-assisted search, summarization, or workflow automation Experience with Power Apps, Power Automate, or Power BI Understanding of data structures, dashboards, and AI-ready knowledge bases Experience building knowledge products for military or defense users Data & Semantic Modeling: Basic understanding of vector databases, Knowledge Graphs, or schema architecture. Emerging AI Technologies: Understanding Generative AI, Large Language Models (LLMs), or prompt engineering function. Programming: Foundational exposure to Python or SQL for data sorting and processing. Certifications Required Required Baseline (Within 6 months of hire) CompTIA Security+ (or equivalent security credential to validate a foundational understanding of secure networks, data compliance, and access permissions). Recommended or Preferred (Highly Valued, But Not Required to Apply) Microsoft Certified: Azure AI Engineer Associate (AI-102) (validating cognitive search and AI deployment). Palantir Foundry Certified Data Engineer or Application Developer (confirming ontology construction and application design). AWS Certified AI Practitioner or AWS Machine Learning – Specialty (proving cloud-based AI system awareness). Certified Knowledge Manager (CKM) (demonstrating industry-standard traditional knowledge management principles).   #LI-AP1  #CJPOST   The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $115,000 — $143,000 USD   At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success. We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration. SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).