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artificial intelligence specialist

Cognition AI

<div><div><h2 class="jobSectionHeader">Location</h2>
Washington DC
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Location Type</h2>
Hybrid
</div><div><h2 class="jobSectionHeader">Department</h2>
SalesFederal</div></div>
 <div><div><h2 class="jobSectionHeader">We are an applied AI lab building end-to-end software agents.</h2>
We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.
About the Role
We are seeking an AI Policy Lead to help shape Cognition's engagement with policymakers, regulators, and government stakeholders as AI becomes increasingly important to economic competitiveness, national security, and public sector modernization.
You will serve as a bridge between technical innovation and public policy, helping policymakers understand the opportunities and implications of advanced AI systems while ensuring Cognition remains informed on evolving regulatory, legislative, and geopolitical developments.
This role sits at the intersection of technology, government, and strategy. You will work closely with company leadership, product teams, legal counsel, and external stakeholders to support responsible AI deployment and advance policies that promote innovation, security, and economic growth.
Core Responsibilities
<ul><li>Monitor and analyze emerging AI policy, regulatory, and legislative developments across the United States and key international markets
</li><li>Develop policy positions, briefing materials, white papers, and executive-level recommendations on issues related to artificial intelligence, national security, technology competitiveness, workforce transformation, and digital infrastructure
</li><li>Build and maintain relationships with policymakers, government agencies, think tanks, industry associations, and academic institutions
</li><li>Support executive engagement with Congress, the Executive Branch, regulators, and international government stakeholders
</li><li>Represent Cognition in policy discussions, industry working groups, conferences, and strategic forums
</li><li>Partner with technical teams to translate complex AI capabilities into clear, actionable policy narratives
</li><li>Identify opportunities for public-private partnerships that accelerate AI adoption across government and critical industries
</li><li>Help anticipate policy risks and opportunities that could impact company strategy, product development, or market expansion
</li></ul>What We Value
<ul><li>Intellectual curiosity and a genuine interest in understanding frontier AI systems
</li><li>Strong judgment and the ability to navigate complex policy environments
</li><li>Clear communication across technical, business, and government audiences
</li><li>Relationship-building and long-term trust with stakeholders
</li><li>Pragmatism and a focus on outcomes rather than ideology
</li><li>Ownership mentality and willingness to operate independently
</li><li>Ability to balance innovation, competitiveness, and responsible governance
</li></ul>Requirements
<ul><li>5&ndash;10 years of experience in public policy, government affairs, national security, technology policy, congressional offices, federal agencies, think tanks, consulting, or related fields
</li><li>Strong understanding of U.S. government institutions, policymaking processes, and regulatory frameworks
</li><li>Demonstrated ability to influence senior stakeholders and navigate complex organizations
</li><li>Exceptional written and verbal communication skills
</li><li>Experience developing policy recommendations, briefing materials, or strategic analyses for senior decision-makers
</li><li>Ability to quickly understand technical concepts and communicate them effectively to non-technical audiences
</li><li>Interest in artificial intelligence, emerging technologies, and their implications for government and society
</li></ul>You Might Excel If You...
<ul><li>Have worked in Congress, the White House, federal agencies, national security organizations, or leading policy institutions
</li><li>Are familiar with federal budgeting cycles
</li><li>Have experience with AI, cybersecurity, defense technology, cloud infrastructure, or emerging technology policy
</li><li>Have advised senior government officials, executives, or technology leaders
</li><li>Understand both the public and private sector perspectives on innovation and regulation
</li><li>Are passionate about ensuring the United States remains the global leader in AI development and deployment
</li></ul><h2 class="jobSectionHeader">Equal Opportunity</h2>
Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.</div></div>

AI Policy Lead

US Office of Management and Budget

Supervisory Program Analyst (Artificial Intelligence)

SAIC

<div>Job ID: 2613789
Location: Washington, DC, US
Date Posted: 2026-06-17
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-Time
Shift: Day Job
Travel: No
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: ORA_HYBRID 
Description
We are seeking an Enterprise Data and AI Solutions Scientist to join our Hyperautomation team. This role is designed for an analytically curious and technically versatile &ldquo;data hunter&rdquo; who thrives when the required data source, system, field, or solution has not yet been identified.
The successful candidate will lead investigative data-discovery efforts across enterprise platforms, determine where relevant information resides, evaluate its reliability, correlate records across disparate systems, and translate findings into repeatable analytics, AI-enabled data-enrichment capabilities, and automated workflows.
This position goes beyond querying known datasets or producing predefined reports. It requires someone who can take an ambiguous business objective, investigate multiple enterprise systems, identify relationships among incomplete or conflicting datasets, and develop an evidence-based approach to solving the problem. This individual will bridge the gap between raw enterprise data, intelligent data enrichment, and automation.
What You Will Bring to the Team
You are more than a reporting specialist or traditional data scientist. You are comfortable beginning with an unanswered question, navigating unfamiliar enterprise systems, testing
This role is hybrid and reports onsite in Washington, DC at least 1 day a week and as required for meetings, testing or other gov activities as directed by their lead.
Key Responsibilities:<ul><li>
Investigative Data Discovery: Lead data-hunting and investigative analytics efforts in support of complex business, operational, security, and hyperautomation use cases.</li><li>
Platform Exploration: Investigate enterprise platforms, particularly Splunk and ServiceNow, to identify relevant indexes, sourcetypes, tables, fields, APIs, relationships, and authoritative data sources.</li><li>
Data Correlation and Reconciliation: Identify correlation keys across disparate systems, including configuration-management, endpoint, identity, asset, and operational data. Develop methods for reconciling incomplete, inconsistent, duplicated, or conflicting records.</li><li>
Advanced Querying and Scripting: Develop and optimize searches, queries, scripts, and analytical workflows using SPL, SQL, Python, REST APIs, and related data-retrieval technologies.</li><li>
AI-Driven Data Enrichment: Use approved AI and Generative AI capabilities, including prompt-based APIs, to normalize data, extract attributes, and generate missing data points from available record-level context. Examples may include using known IT asset manufacturers and models to determine or infer lifecycle attributes such as End of Life or End of Support.</li><li>
AI Output Validation: Evaluate AI-generated attributes for accuracy, consistency, and business usability. Clearly distinguish authoritative source data from inferred or generated information and document supporting evidence, confidence, and known limitations.</li><li>
Automation Integration: Partner with RPA, workflow, and data-engineering teams to convert successful analytical discoveries and enrichment processes into repeatable, governed, and sustainable enterprise capabilities.</li><li>
Solution Design: Help determine whether a use case is best addressed through data engineering, API integration, business-process automation, robotic process automation, AI-enabled enrichment, or a hybrid approach.</li><li>
Prototyping and Communication: Develop prototypes, proofs of concept, dashboards, and visualizations. Communicate findings, data limitations, technical risks, and recommendations to both technical teams and senior leadership.</li></ul>
Core Competencies:<ul><li>
Investigative Curiosity: A persistent drive to explore unfamiliar systems and data structures until a defensible answer or path forward is identified.</li><li>
Systems Thinking: The ability to understand how data flows across applications, infrastructure, identity systems, assets, and business processes.</li><li>
Evidence-Based Discipline: A rigorous approach to validating conclusions, documenting data lineage, and distinguishing authoritative, derived, and AI-generated information.</li><li>
Solution Orientation: The ability to turn one-time discoveries into reusable, scalable, and supportable enterprise capabilities.</li><li>
Consultative Communication: The ability to translate complex data findings into clear, actionable recommendations for technical and business stakeholders.</li></ul>
Illustrative Use Cases:<ul><li>
Correlating security, endpoint, identity, asset, and service-management data across Splunk, ServiceNow, and other platforms to identify vulnerable, unsupported, or untracked enterprise assets.</li><li>
Sending known asset attributes, such as manufacturer, model, product family, and software version, to an approved AI service to generate missing lifecycle information, including estimated End-of-Life and End-of-Support dates.</li><li>
Using AI to normalize inconsistent manufacturer names, product models, application titles, organizational values, and other records that cannot be reliably standardized through static rules alone.</li><li>
Validating AI-generated data against available evidence, documenting the basis for each determination, and flagging low-confidence or conflicting results for human review.</li><li>
Mapping a manual data-gathering and reconciliation process and redesigning it as an automated pipeline using Databricks, APIs, ServiceNow, Splunk, Power Automate, or RPA technologies.</li></ul>
Qualifications
Required Education &amp; Experience:<ul><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Information Systems, Statistics, Engineering, or a related technical discipline and at least 2-5 years of relevant professional experience. Equivalent practical experience may be considered in lieu of a degree.</li><li>
Demonstrated experience conducting data discovery or investigative analytics when the required data sources, fields, or technical approach were not predefined.</li><li>
Hands-on Splunk experience, including SPL development, index and sourcetype discovery, field analysis, lookups, joins, and cross-source data correlation.</li><li>
Hands-on experience navigating and querying ServiceNow data structures, including CMDB, asset, operational, or related enterprise tables and APIs.</li><li>
Strong proficiency in SQL and Python for data retrieval, manipulation, integration, and analysis.</li><li>
Experience working with REST APIs, JSON, and structured or semi-structured data.</li><li>
Practical experience using AI, Generative AI, or prompt-based services to extract, classify, normalize, infer, or enrich enterprise data.</li><li>
Experience evaluating and validating generated or inferred data before incorporating it into analytics, reporting, or operational processes.</li><li>
Ability to work independently in ambiguous environments, formulate and test hypotheses, and adapt based on emerging findings.</li><li>
Strong analytical, problem-solving, documentation, and technical communication skills.</li></ul>
Required Clearance:<ul><li>
US Citizenship.</li><li>
Active Secret Clearance.</li></ul>
Preferred Qualifications:<ul><li>
Experience with Databricks, Apache Spark, Delta Lake, or cloud-based lakehouse architectures.</li><li>
Experience integrating with AI or large language model services through APIs, including prompt design, structured outputs, response evaluation, and exception handling.</li><li>
Experience developing or supporting workflows using Microsoft Power Automate or UiPath.</li><li>
Experience operationalizing AI-generated or AI-enriched data through automated pipelines, dashboards, workflow tools, or human-in-the-loop review processes.</li><li>
Familiarity with Retrieval-Augmented Generation, semantic matching, embedding models, vector databases, entity resolution, or related information-retrieval techniques.</li><li>
Experience working in federal government, regulated-industry, cybersecurity, IT asset-management, or large-scale enterprise environments.</li></ul>
Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.</div>

Enterprise Data and AI Solutions Scientist

VERSA Integrated Solutions

Position: Data EngineerDepartment: Federal ProgramsLocation: Washington, DC Metro Area (Hybrid/Onsite based on customer requirements)Employment Type: Full-TimeSalary: Commensurate with ExperienceAbout VERSA Integrated SolutionsVERSA Integrated Solutions delivers innovative Cloud, Data, Artificial Intelligence, Cybersecurity, and Enterprise IT solutions to Federal Government agencies. We help agencies modernize mission-critical systems by implementing secure, scalable, cloud-native technologies that enable advanced analytics, operational excellence, and data-driven decision making.Position SummaryVERSA Integrated Solutions is seeking a highly motivated Data Engineer to design, build, optimize, and maintain enterprise data platforms supporting Federal Government customers. The Data Engineer develops robust ETL/ELT pipelines, cloud-based data integration solutions, and enterprise data repositories that support business intelligence, artificial intelligence, reporting, and operational analytics.The successful candidate will collaborate closely with Data Architects, AI/ML Engineers, Database Administrators, Software Developers, Cloud Engineers, and Business Analysts to ensure high-quality, secure, and scalable data solutions.Position ObjectivesThe Data Engineer will:<ul><li>Design enterprise data pipelines.&bull; Integrate structured and unstructured data sources.&bull; Support cloud data modernization initiatives.&bull; Improve enterprise data quality.&bull; Enable analytics and AI initiatives.&bull; Automate data processing workflows.</li></ul>Major Duties &amp; ResponsibilitiesData Pipeline Development<ul><li>Design, develop, and maintain scalable ETL/ELT pipelines.&bull; Integrate internal and external data sources.&bull; Automate ingestion, transformation, and validation processes.&bull; Optimize data movement across enterprise platforms.&bull; Monitor pipeline performance and reliability.</li></ul>Cloud Data EngineeringSupport enterprise cloud platforms including:<ul><li>Azure Data Factory&bull; Azure Synapse Analytics&bull; Azure Data Lake&bull; Microsoft Fabric&bull; AWS Glue&bull; AWS Redshift&bull; Databricks</li></ul>Develop cloud-native data integration solutions supporting modernization initiatives.Data Integration<ul><li>Develop APIs supporting enterprise integrations.&bull; Process structured, semi-structured, and unstructured data.&bull; Build real-time and batch processing solutions.&bull; Support streaming technologies such as Apache Kafka and Azure Event Hub.</li></ul>Data Quality<ul><li>Validate incoming datasets.&bull; Develop automated quality checks.&bull; Monitor completeness and accuracy.&bull; Resolve data anomalies.&bull; Implement data lineage and audit capabilities.</li></ul>Analytics SupportProvide data services supporting:<ul><li>Power BI&bull; Tableau&bull; AI/ML models&bull; Executive dashboards&bull; Predictive analytics&bull; Operational reporting</li></ul>DevSecOpsCollaborate with engineering teams to:<ul><li>Automate deployments&bull; Implement Infrastructure as Code&bull; Support CI/CD pipelines&bull; Improve monitoring and observability&bull; Secure enterprise data environments</li></ul>Required Technical SkillsLanguages<ul><li>Python&bull; SQL&bull; Spark&bull; PySpark&bull; PowerShell</li></ul>Cloud<ul><li>Azure&bull; Azure Data Factory&bull; Azure Synapse&bull; Azure SQL&bull; Azure Storage&bull; Microsoft Fabric</li></ul>Databases<ul><li>SQL Server&bull; PostgreSQL&bull; Oracle&bull; Snowflake&bull; Databricks</li></ul>Tools<ul><li>Git&bull; GitHub&bull; Azure DevOps&bull; Terraform&bull; Docker&bull; Kubernetes</li></ul>Preferred Skills<ul><li>Apache Kafka&bull; Azure Event Hub&bull; REST APIs&bull; JSON/XML&bull; Delta Lake&bull; Data Lakehouse Architecture&bull; AI data preparation&bull; MLOps</li></ul>EducationBachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or a related discipline.Experience LevelsJunior (0&ndash;4 Years)<ul><li>SQL development&bull; Python programming&bull; ETL fundamentals&bull; Database experience</li></ul>Intermediate (5&ndash;9 Years)<ul><li>Cloud data engineering&bull; Azure or AWS experience&bull; Production ETL development&bull; API integration</li></ul>Senior (10&ndash;14 Years)<ul><li>Enterprise cloud modernization&bull; Data platform leadership&bull; Performance optimization&bull; Mentoring junior engineers</li></ul>SME (15+ Years)<ul><li>Enterprise Data Engineering strategy&bull; Federal modernization leadership&bull; AI-enabled data platforms&bull; Large-scale cloud migration</li></ul>Preferred Certifications<ul><li>Microsoft Certified: Azure Data Engineer Associate&bull; Databricks Certified Data Engineer&bull; AWS Certified Data Engineer&bull; SnowPro Core&bull; ITIL&reg; Foundation</li></ul>Desired Federal ExperienceExperience supporting NIH, CMS, Census Bureau, Commerce, DHS, DOD, or other Federal agencies is highly desirable.Security ClearanceAbility to obtain and maintain a Public Trust or higher clearance, depending on customer requirements.Why Join VERSA?Join a team building modern data platforms that enable Federal agencies to leverage artificial intelligence, cloud computing, and enterprise analytics to accomplish mission objectives.Equal Employment OpportunityVERSA Integrated Solutions is an Equal Opportunity Employer committed to diversity, inclusion, and equal opportunity for all qualified applicants.Pay: $120,000.00 - $150,000.00 per yearBenefits:<ul><li>401(k) matching</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Work Location: Hybrid remote in Washington, DC 20591

Data Engineer

Milestone Technologies

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 Company Overview
 
Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.
 
Our seasoned professionals deliver services based on Milestone’s best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed.
 
Job Overview
 
AI-Factory Observability Principal
 
We are operating large-scale AI training and inference data centers, and we need an expert who can see the entire stack at once — from the chiller plant and switchgear to the GPU fabric and the Kubernetes scheduler. This role spans facilities/OT telemetry (cooling, power) and IT/AI infrastructure observability (compute, network, accelerators), unified by a single goal: complete, real-time, predictive visibility into how AI infrastructure consumes power, generates heat, moves data, and delivers compute.
 You will design the observability platform that ingests signals from building and electrical systems, server and network fabrics, Kubernetes, and GPU/accelerator clusters — then apply AI/ML models on top of that telemetry to optimize utilization, predict failures, reduce energy cost, and surface insights operators can act on. You are equally comfortable reading a BACnet point list and a GPU NVLink topology, and you can explain to both facilities and platform teams why their data belongs in the same system.
 
Observability architecture & strategy
 
Define and own the end-to-end observability architecture covering metrics, logs, traces, and events across facilities and IT domains.
 Establish standards for instrumentation, telemetry pipelines, data retention, cardinality management, and a unified data model that lets power, thermal, network, and compute signals be correlated in one place.
 Design for scale: hundreds of thousands of time series per site, high-frequency power and thermal sampling, and GPU-cluster-level granularity.
 
Facilities & OT integration (BMS / EPMS)
 
Integrate Building Management System (BMS) telemetry — CRAC/CRAH units, chillers, cooling loops, airflow, temperature/humidity, leak detection — into the central observability platform (BACnet, Modbus, MQTT, OPC-UA).
 Integrate Electrical Power Monitoring System (EPMS) data — switchgear, UPS, PDUs, busways, branch-circuit metering, generators — for real-time power draw, capacity, and quality monitoring (Modbus, DNP3, IEC 61850).
 Build correlated views of power and thermal behavior against compute workload so operators understand cause and effect (e.g., a training job's effect on rack power and inlet temperatures).
 Partner with facilities engineering on PUE, capacity planning, stranded-power recovery, and thermal optimization.
 
AI cluster & Kubernetes observability
 
Architect observability for AI/GPU clusters — accelerator utilization, memory pressure, thermals, ECC/Xid errors, power capping, and job-level efficiency (e.g., via NVIDIA DCGM, accelerator telemetry exporters).
 Instrument Kubernetes environments running AI/ML workloads: cluster, node, pod, and workload metrics, scheduler behavior, GPU/accelerator allocation, and operator health.
 Provide visibility into training and inference pipelines — throughput, queue depth, checkpoint behavior, straggler detection, and cost-per-token / cost-per-training-step metrics.
 Surface noisy-neighbor, fragmentation, and underutilization patterns across multi-tenant clusters.
 
Network observability
 
Design monitoring for high-performance data center fabrics, including the AI back-end network (RDMA, InfiniBand and/or RoCE Ethernet) and front-end/management networks.
 Capture fabric health, congestion, link errors, latency, and bandwidth utilization using streaming telemetry, SNMP, gNMI/gRPC, NetFlow/sFlow, and fabric managers (e.g., InfiniBand UFM).
 Correlate network behavior with distributed training performance to diagnose collective-communication bottlenecks.
 
AI/ML-driven optimization & insight (AIOps)
 
Apply ML and AI models to the telemetry estate for anomaly detection, predictive maintenance, capacity forecasting, and automated root-cause analysis.
 Build models and pipelines that recommend (or automate) actions: dynamic cooling and power optimization, workload placement, power capping under thermal/electrical constraints, and failure pre-emption.
 Leverage LLMs and modern AI techniques to summarize incidents, accelerate root-cause investigation, query telemetry in natural language, and generate operator-facing insights from large volumes of logs and metrics.
 Establish the feedback loop where observability data trains the models that, in turn, optimize the infrastructure being observed.
 
Cross-functional leadership
 
Act as the technical authority connecting facilities, network, platform, SRE, and AI/ML teams around a shared observability practice.
 Define SLOs, alerting strategy, and on-call signal quality; drive down alert noise and mean-time-to-resolution.
 Mentor engineers and set the technical direction for the observability roadmap.
 
Required Qualifications
 
8+ years in infrastructure, SRE, observability, or data center engineering, with 3+ years in an architect or principal-level role.
 Demonstrated experience designing and operating observability platforms at scale (metrics, logs, traces).
 Expertise in Datadog, Dynatrace, Grafana, Prometheus and Grafana.
 Hands-on experience integrating BMS and EPMS data, and a working understanding of data center mechanical and electrical systems (cooling topologies, power distribution, redundancy, capacity).
 Strong systems monitoring background — Linux/server fleets, hardware health, baseboard management (IPMI/Redfish).
 Strong network monitoring background, including high-performance / low-latency fabrics relevant to AI workloads. Expertise in SNMP, WMI.
 Production experience with Kubernetes and observability of containerized workloads.
 Experience operating or monitoring GPU / AI-accelerator clusters and understanding of distributed training/inference behavior.
 Practical experience applying AI/ML models to operational data (anomaly detection, forecasting, or AIOps), and comfort using LLMs to derive insights and automate analysis.
 Proficiency in at least one language for data/automation work (Python preferred), and infrastructure-as-code practices.
 
Preferred Qualifications
 
Experience with tooling such as OpenTelemetry, VictoriaMetrics/Thanos, Loki, Tempo, Elastic, Splunk.
 Familiarity with OT/industrial protocols: BACnet, Modbus, OPC-UA, DNP3, IEC 61850, MQTT.
 Familiarity with GPU/accelerator telemetry (NVIDIA DCGM and exporters) and InfiniBand/RDMA monitoring (e.g., UFM).
 Experience with network telemetry: gNMI/OpenConfig streaming, SNMP, NetFlow/sFlow.
 Experience with time-series data at high cardinality, stream processing, and data lake/warehouse patterns for telemetry.
 Background in MLOps, model deployment, or building data/feature pipelines for operational ML.
 Exposure to power and cooling optimization, PUE improvement, or sustainability/energy-efficiency initiatives.
 Relevant certifications (e.g., data center facilities, Kubernetes/CKA, cloud or networking) are a plus.
 
Compensation
 
Estimated Pay Range: $173,600.00 - $180,000.00 USD/yr. We also offer comprehensive benefits options which vary depending on role, location, and employment type. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.
 
Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location.
 
Our Commitment to Diversity & Inclusion
 
At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for our employees but is also critical to our continued success.
 
Milestone Technologies provides equal employment opportunity for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees.
 
We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.

AI-Factory Observability Principal

TLN Worldwide Enterprises Inc

<div>Description:

The CG Business Intelligence Systems Technical Training Specialist provides training, outreach, instructional design, and user support services in support of the U.S. Coast Guard's Business Intelligence Systems Program. This position is responsible for developing and delivering training programs, supporting end users, creating instructional materials, and promoting adoption of Coast Guard business intelligence, reporting, analytics, and data visualization tools throughout the organization.
The Specialist works directly with military and civilian personnel at all levels of the Coast Guard, providing technical instruction, system support, communications assistance, and outreach activities that improve user proficiency and enhance mission effectiveness through data-driven decision making.
The position requires independent performance of assigned duties, strong communication and presentation skills, and the flexibility to support a demanding nationwide travel schedule.<h2 class="jobSectionHeader">
Key Responsibilities</h2><h3 class="jobSectionHeader">
Technical Training Delivery</h3><ul><li>
Deliver instructor-led classroom training, virtual training sessions, workshops, webinars, and one-on-one support related to Coast Guard Business Intelligence Systems.</li><li>
Provide functional and technical instruction on business intelligence tools, reporting platforms, analytics capabilities, and data visualization solutions.</li><li>
Conduct targeted virtual support sessions using approved Coast Guard collaboration tools, including Microsoft Teams.</li><li>
Adapt training delivery methods to meet the needs of diverse user groups and mission requirements.</li></ul><h3 class="jobSectionHeader">
User Support &amp; Outreach</h3><ul><li>
Provide direct support to Coast Guard personnel utilizing business intelligence systems and reporting tools.</li><li>
Assist users with troubleshooting system issues, understanding functionality, and maximizing system capabilities.</li><li>
Participate in outreach activities designed to increase awareness, adoption, and effective utilization of Coast Guard Business Intelligence Systems.</li><li>
Support stakeholder engagement efforts across Coast Guard operational and support commands.</li></ul><h3 class="jobSectionHeader">
Curriculum Development &amp; Instructional Design</h3><ul><li>
Develop, update, and maintain training materials using the Instructional Systems Design (ISD) model.</li><li>
Create and maintain:
<ul><li>Student guides</li>
<li>Instructor lesson plans</li>
<li>Job aids</li>
<li>Quick reference guides</li>
<li>Training presentations</li>
<li>Standard operating procedures</li>
<li>User support documentation</li>
</ul></li><li>Ensure all instructional materials remain current and aligned with system updates and organizational requirements.</li></ul><h3 class="jobSectionHeader">
Data Visualization &amp; Analytics Support</h3><ul><li>
Develop educational materials supporting enterprise data visualization and analytics initiatives.</li><li>
Assist users in understanding and applying business intelligence concepts, dashboards, reports, and performance metrics.</li><li>
Promote best practices for data analysis, reporting, and information sharing.</li><li>
Support training efforts related to Coast Guard analytics and reporting platforms.</li></ul><h3 class="jobSectionHeader">
Communications &amp; Knowledge Management</h3><ul><li>
Assist with development and maintenance of communications materials supporting Business Intelligence Systems initiatives.</li><li>
Support management of SharePoint content, training resources, and outreach materials.</li><li>
Participate in meetings, working groups, demonstrations, and stakeholder engagement events.</li><li>
Prepare meeting summaries, recommendations, and supporting documentation when required.</li></ul><h3 class="jobSectionHeader">
Travel &amp; Field Support</h3><ul><li>
Travel extensively to Coast Guard locations nationwide to conduct training and outreach activities.</li><li>
Coordinate and support on-site workshops, classroom instruction, and user engagement sessions.</li><li>
Maintain flexibility to support changing travel schedules and operational requirements.</li><li>
Represent the Coast Guard Business Intelligence Systems Program in a professional manner during field engagements.</li></ul>
Requirements:
<ul><li>Bachelor's degree from an accredited college or university.</li><li>
Minimum three (3) years of professional experience.</li><li>
Experience in training, public speaking, classroom instruction, facilitation, or teaching.</li><li>
Demonstrated ability to independently perform all assigned duties and responsibilities.</li><li>
Experience interacting with customers, stakeholders, or users in a professional environment.</li></ul><h2 class="jobSectionHeader">
Required Skills</h2><ul><li>
Strong public speaking and presentation skills.</li><li>
Excellent verbal and written communication abilities.</li><li>
Strong analytical and problem-solving skills.</li><li>
Ability to communicate effectively with all levels of military and civilian personnel.</li><li>
Proficiency with Microsoft Office Suite, including:
<ul><li>Microsoft Word</li>
<li>Microsoft Excel</li>
<li>Microsoft PowerPoint</li>
<li>Microsoft Outlook</li>
<li>Microsoft Teams</li>
</ul></li><li>Strong organizational and time-management skills.</li><li>
Ability to manage multiple projects and priorities simultaneously.</li><li>
Flexibility to support a dynamic and demanding travel schedule.</li><li>
Ability to work independently with minimal supervision.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Experience supporting U.S. Coast Guard, Department of Homeland Security, Department of Defense, or other federal agencies.</li><li>
Familiarity with business intelligence, reporting, analytics, and data visualization platforms.</li><li>
Experience with IBM Cognos, Qlik, Power BI, Tableau, or similar technologies.</li><li>
Experience developing training curricula and instructional materials.</li><li>
Familiarity with SharePoint and enterprise collaboration tools.</li><li>
Experience supporting organizational change management, user adoption initiatives, or enterprise software implementations.</li></ul></div>

Technical Training Specialist – Business Intelligence Systems - US Coast Guard

Booz Allen Hamilton

<div>Graphic Designer, Mid
The Opportunity:
Perform as a Graphic Designer with design principles, an exceptional eye for detail, and a passion for producing creative and impactful visual materials that support the client&rsquo;s mission and enhance brand identity. Apply graphic design skills to create a wide range of deliverables, including FINTEL, logos, publications, presentations, multimedia products, and potentially videos, while ensuring compliance with Section 508 accessibility standards. Leverage design principles such as typography, hierarchy, and visual balance, to craft visually appealing assets that align with organizational branding and messaging, ensuring consistency across all materials. Manage multiple work assignments by applying accuracy, time management, and problem-solving skills in a fast-paced, deadline-driven environment. Work collaboratively within a team of designers, engage with senior designers for feedback, and collaborate with stakeholders to conceptualize project requirements and deliver solutions that effectively communicate government or defense-sector priorities.
You Have:<ul><li>
3+ years of experience in graphic design across print, digital, and multimedia products</li><li>
Experience with Section 508 compliance for designing and developing accessible products</li><li>
Experience with Adobe Creative Cloud, including InDesign, Photoshop, and Illustrator, and Microsoft Office Suite programs, including PowerPoint and Word</li><li>
Experience facilitating client-facing discussions to interpret workforce messaging, display data visually, and conceptualize analytic ideas</li><li>
Ability to provide a portfolio showcasing a broad range of design work, including visual solutions for complex challenges</li><li>
Ability to collaborate with stakeholders to define project requirements and deliver design outcomes that align with mission-focused goals</li><li>
Active TS/SCI clearance; willingness to take a polygraph exam</li><li>
Bachelor&rsquo;s degree</li></ul> 
Nice If You Have:<ul><li>
Experience supporting intelligence analysts and senior-level or executive staff with tailored graphic design solutions</li><li>
Experience with design tools such as Premiere Pro, XD, and MAPublisher</li><li>
Experience working within the government or defense sectors</li><li>
Knowledge of DoD or Intelligence Community (IC) processes and requirements</li><li>
Ability to set expectations, define project timelines, and deliver quality products with minimal supervision or oversight</li><li>
Ability to collaborate effectively within cross-functional teams in a dynamic environment</li><li>
TS/SCI clearance with a polygraph</li></ul>
Clearance: 
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $53,000.00 to $108,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

Graphic Designer, Mid

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