7 jobs found

Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. Schedule & Location Employment Type: Full-time, exempt (salaried), with an in-office schedule of 2 days per week and flexibility to work remotely 3 days per week, dependent on business needs. Relocation assistance is not offered for this position. Job Summary This is a multi-level analytics architecture opportunity, with scope and responsibilities aligned to the selected candidate's experience, technical expertise, leadership capabilities, and demonstrated success designing enterprise analytics solutions. FM is seeking an experienced Analytics Solution Architect to lead the design and delivery of enterprise analytics, AI, and data-driven solutions. In this role, you will work across modern data, cloud, and application platforms to build scalable, secure, and production-ready solutions that enable advanced analytics, machine learning, business intelligence, and operational decision-making. You will partner closely with business stakeholders, product owners, data scientists, engineers, and platform teams to translate business needs into technical solutions. This role requires a blend of solution architecture, analytics architecture, software engineering, cloud technologies, and AI enablement, with a focus on delivering solutions that are reliable, maintainable, and aligned with long-term business objectives. The ideal candidate combines strong architecture and engineering expertise with the ability to lead through collaboration. You will help define how data, analytics, applications, and AI capabilities are designed, integrated, deployed, governed, and supported across the enterprise while providing technical leadership on strategic initiatives. Responsibilities Lead the architecture and delivery of data, AI and business solutions by designing scalable applications, data and analytics platforms, integration frameworks, and cloud-based solutions. Partner with business stakeholders, product owners, data scientists and engineering teams to translate business needs into technical solutions, define architecture roadmaps, and drive the successful delivery of strategic initiatives. Design and operationalize AI and machine learning solutions by enabling the transition of analytical models from development into secure, scalable, and production-ready environments while ensuring reliability, maintainability, and long-term supportability. Establish architecture standards and governance to ensure scalable, secure, reliable, and maintainable solutions across data, application, and cloud platforms. Evaluate emerging technologies, architecture patterns, and AI capabilities to drive innovation, platform modernization, and improved business outcomes. Provide technical leadership by mentoring teammates, advising stakeholders, and promoting best practices in solution architecture, application development, data and AI platforms, and technology delivery. Qualifications: Minimum of 7 years of experience in Solution Architecture or related technical leadership roles, with experience delivering data, analytics, AI, and cloud-based solutions; 10+ years preferred. Solution Architecture: Experience designing and delivering scalable applications, data and analytics platforms, cloud-native solutions, and integration architectures in an enterprise environment. Advanced Analytics Enablement: Experience partnering with data science teams to design, deploy, and operationalize machine learning and AI solutions in production environments. Technical Expertise: Strong understanding of modern software development practices, cloud and data platforms, CI/CD, security, and operational support. Experience with Python, machine learning concepts, and operationalizing analytical models preferred. Effective communication: Ability to translate complex technical concepts into clear recommendations for business, technical, and senior stakeholder audiences through strong written, verbal, and interpersonal communication. Decision making: Demonstrated ability to evaluate priorities, assess return on investment, resolve obstacles, and make sound architecture recommendations that support business outcomes and enterprise standards. Collaboration and teamwork: Proven ability to influence cross-functional teams, mentor technical staff, build strong stakeholder relationships, and drive successful delivery of strategic initiatives. Leadership mindset: Self-directed, customer-focused professional with strong problem-solving skills and a commitment to delivering high-quality scalable Analytics and AI solutions. Education and Certifications Bachelor's degree in computer science, Information Technology, Data Analytics, Data Science, Engineering, or a related field; equivalent experience considered. Master's degree in information technology, analytics, data science, or related discipline preferred. The hiring range for this position is $121,000 - $198,000 a year. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, medical, dental and vision insurance, life and disability insurance, well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, and time off, including vacation and sick time. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

Job Description Job Description Data, AI, and Automation Specialist The Position: Censeo Consulting Group is seeking Data, AI, & Automation Specialists at Mid and Senior experience levels to support the General Services Administration (GSA) Assisted Acquisition Services (AAS) organization through the Contracted Enterprise Support (ACES) program. Data, AI, & Automation Specialists will help identify, design, develop, and implement data-driven and technology-enabled solutions that improve how teams analyze information, manage workflows, and execute business processes. In this role, you will collaborate with government stakeholders, business users, analysts, and technical teams to identify opportunities for automation and artificial intelligence, improve access to actionable data, and translate operational needs into practical solutions. This position is ideal for experienced professionals who combine strong technical and analytical capabilities with an understanding of business processes and can effectively translate complex requirements into scalable data, AI, and automation solutions. Key Responsibilities: Analyze business processes, workflows, data sources, and operational requirements to identify opportunities for improvement through data, AI, and automation. Design, develop, implement, and support automated workflows, analytical solutions, dashboards, and other technology-enabled tools. Work with government stakeholders and business users to gather requirements and translate operational challenges into technical and analytical solutions. Develop data models, queries, reports, dashboards, and visualizations that provide stakeholders with actionable insights. Support the development and implementation of AI-enabled solutions that improve analysis, knowledge management, decision support, or business operations. Design and implement workflow and process automations that reduce manual effort, streamline repetitive activities, and improve operational consistency. Integrate information from multiple data sources to support reporting, analysis, and decision-making. Evaluate data quality, identify gaps or inconsistencies, and support improvements to data collection, organization, and management. Develop prototypes and proof-of-concept solutions to evaluate potential approaches to business and operational challenges. Test, troubleshoot, maintain, and improve data, AI, and automation solutions. Develop documentation, user guidance, technical materials, and presentations to support solution implementation and adoption. Collaborate with technical, acquisition, financial, program, and operational stakeholders to ensure solutions align with business requirements. Monitor solution performance and identify opportunities for enhancement, optimization, and expanded automation. Support responsible implementation of AI and automation within applicable federal security, privacy, data governance, and technology requirements. Provide technical guidance and recommendations to government stakeholders and project teams. The Ideal Candidate: At Censeo, we are looking for unique candidates whose passion and enthusiasm will help shape Censeo's client insights and workplace culture. Our staff have a wide range of backgrounds, areas of expertise, personality types, and favorite breakfast foods. Our client and cultural successes are rooted in our team's innovation, creative problem solving, and collaboration. The unique perspective that you bring and the way you tackle problems are much more important to us than what's printed on your diploma. We believe an effective Data, AI, and Automation Specialist will be able to combine strategic thinking, analytical judgment, and strong people skills to identify and implement meaningful, practical changes for federal clients. Qualifications for the role include: Bachelor's degree in computer science, information systems, data science, engineering, business analytics, mathematics, statistics, or a related discipline, or equivalent relevant professional experience. Experience developing or implementing data analytics, AI, automation, business intelligence, or technology-enabled business solutions. Experience translating business requirements and operational challenges into practical technical solutions. Strong analytical, critical-thinking, and problem-solving skills. Experience working with structured and unstructured data and integrating information from multiple sources. Experience developing dashboards, visualizations, reports, automated workflows, or analytical applications. Familiarity with AI, machine learning, generative AI, intelligent automation, or related technologies. Experience with relevant tools and technologies such as Power BI, Power Automate, Power Apps, Python, SQL, or comparable platforms and programming languages. Ability to evaluate processes and identify opportunities for automation and technology-enabled improvement. Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders. Experience documenting technical requirements, solution designs, processes, testing results, and user guidance. Ability to manage multiple technical initiatives and competing priorities. Experience supporting federal government technology, data, automation, acquisition, or business transformation initiatives is preferred. Experience supporting GSA or another federal government agency is preferred. Relevant Microsoft, data analytics, cloud, AI, automation, or project management certifications are a plus. Experience Levels: Mid Level: 5+ years of experience in data analytics, artificial intelligence, automation, business intelligence, software development, data engineering, process automation, technology consulting, or a closely related field. Senior Level: 10+ years of experience in data analytics, artificial intelligence, automation, business intelligence, software development, data engineering, process automation, technology consulting, or a closely related field. The Company: Censeo Consulting Group is a top Washington D.C. based management consulting firm dedicated to helping public sector and non-profit clients build operational excellence, deliver better outcomes, and lower cost. We take a personalized approach to strategic consulting to solve our clients' most complex problems and build operational excellence that transforms their organizations, allowing them to better deliver on their public and social missions. At Censeo, our award-winning culture means you'll join a tight-knit community of 75 brilliant and passionate colleagues. We are advocates for a better functioning public sector, and we're also good friends who know the names of each other's dogs. Our philosophy is horizontal, not hierarchical, and our open-door policy encourages a culture of entrepreneurship at all levels. We share successes, make decisions together, and foster an environment for those with passion and initiative to lead. Our colleagues bring their own unique personalities to work every day and use them to help shape our growing firm in ways that reach far beyond client projects. The Location: Censeo Consulting Group is based in Washington D.C., a fantastic city for working professionals. We work in a hybrid setting with flexibility to work from home and work in our office conveniently located in the heart of downtown, just a few blocks away from the White House. And with many of our clients also based in D.C., we have the luxury of leaving for a meeting and being back in the office in time for post-work happy hours, team dinners, and game nights. The Fine Print: The salary range for this role is $110,000 - $170,000 depending on experience This is an exempt, full-time position This role is subject to a full-time in-person work schedule in Washington, D.C. with the possibility for hybrid if approved by the client. Essential Physical Functions Sitting: Particularly for sustained periods of time Light Carrying: Physically transporting items weighing less than 15 pounds from one location to another Censeo offers a competitive compensation and benefits package, including paid vacation and sick leave, flexible and remote work opportunities, and tuition and training reimbursement. More information on our benefits and perks can be found at -us/. Censeo is an equal opportunity employer. We are committed to providing equal opportunity to all applicants and employees in full compliance with all applicable state and federal laws prohibiting discrimination on the basis of race, color, age, gender, religion, national origin, disability, protected veteran status, or any other class protected by applicable state or federal law. Join Our Award-Winning Culture! Our passion wins awards. But don't just take it from us 2024 Vault Consulting 50 North America 2024 Vault Best Consulting Firm for Hours in the Office 2023 Vault Best Consulting Firm for Work/Life Balance 2023 Vault Best Consulting Firm for Overall Diversity 2023 Management Consulted Best Boutique Firms in Washington DC 2022 Vault Best Overall Consulting Firm to Work For 2020 Vault Best Boutique Consulting Firm 2019 Ivy Exec Best Boutique Consulting Firm . click apply for full job details

Job Description Job Description Job Title: Senior Cloud Security Architect Location: Birmingham, AL, Columbia, SC, Knoxville, TN or Lafayette, LA Type: Fulltime Responsibilities The architect will work with product owners, enterprise architecture, engineering, and security teams to protect sensitive data, strengthen identity and access controls, secure cloud environments, and support compliance with enterprise policies and industry standards. The role requires strong AWS expertise and the ability to lead multiple security initiatives across IaaS, SaaS, and internally developed applications. Requirements Extensive experience with security architecture and threat modeling for complex enterprise applications Strong knowledge of STRIDE, attack trees, abuse cases, data flow analysis, and trust boundary analysis Hands on experience evaluating security risks in AI, machine learning, and agentic AI applications Advanced AWS knowledge across IAM, networking, compute, storage, RDS, messaging, serverless, ECS/EKS, CI/CD, and AI/ML services Strong understanding of application security, API security, IAM, authentication, authorization, encryption, key management, and data protection Experience translating identified threats into practical security controls and remediation recommendations Knowledge of DevSecOps, pipeline security, container security, infrastructure security, SIEM, CSPM, and CWPP solutions Familiarity with security frameworks and standards such as NIST, OWASP, CIS, FedRAMP, ISO, and SOX Experience with resilient, highly available, API driven, stateless, and integrated cloud or SaaS environments Ability to lead multiple initiatives and communicate effectively with technical and business stakeholders This position is required in one of the following locations: Birmingham, AL, Columbia, SC, Knoxville, TN or Lafayette, LA Bachelor's degree in Computer Science, Information Systems, Cybersecurity, or a related field Preferred certifications include CISSP, CCSP, AWS Professional or Specialty certifications, or equivalent credentials Ref: Pittsburgh

Job Description Job Description Job Title: Data & AI Solution Architect Duration: Contract to Hire Location: Houston, Texas, United States Work Mode: 5 Days Onsite Position Description Systemone is seeking a Data & AI Solution Architect who blends solution architecture with a product mindset, someone who can lead client workstreams, shape practical architectures, and help build market facing assets that grow pipeline and credibility in Houston. This role is ideal for a high agency consultant who enjoys client facing delivery and practice building: thought leadership, events, offerings, and proposals. Role summary Provides solution architecture development, consultancy and assurance, ensuring applications conform to Shell standards and reference architectures. The role supports a six week GoA JV Audit Data & AI feasibility engagement. Project / business context GoA JV Audit (Data and AI Services): validate feasibility, map the audit process end to end, confirm data/integration readiness, and demonstrate through a working POC that AI enabled capabilities can work with available data before major infrastructure investment. Key responsibilities Develop and assure solution architecture for projects and translate Shell standards into practical designs. Provide technical recommendations, identify new technology opportunities and support reuse of architecture assets. Use Shell architecture tools and reference roadmaps across cloud, integration, mobile, open source and big data. Engage senior business stakeholders and communicate architecture decisions clearly. Key skills / experience Strong stakeholder management and proactive cross team communication. Strong written/verbal communication and ability to tailor content to the audience. Ability to connect business value to technical architecture. Solution evaluation, integration architecture and AI enabled POC architecture. Required Skills: Data Analysis Data Engineering Data Engineering Solutions Architecture Artificial Intelligence Machine Learning Ref: Pittsburgh

Job Description Job Description Senior Data Engineer - AI, Automation & Databricks Location: Houston, TX Work Arrangement: Houston-based / Onsite as required Experience: 8+ years preferred Employment Type: Contract / Full-Time, based on project requirement Job Summary We are looking for a highly experienced and innovative Senior Data Engineer to assess, modernize, and optimize enterprise Data Engineering processes while driving the adoption of automation, Artificial Intelligence, and Agentic AI. The ideal candidate will combine strong hands-on Data Engineering expertise with a proactive problem-solving mindset. This individual will evaluate existing engineering processes, identify opportunities for AI and automation, develop Proofs of Concept (POCs), and help transition successful ideas into production-ready solutions. The role requires deep experience with Databricks, AWS Redshift, modern Data Engineering architectures, AI-enabled engineering practices, and AI solutions across the Software Development Life Cycle (SDLC). The successful candidate should be comfortable working independently, challenging existing approaches, proposing innovative solutions, and collaborating with both technical and business stakeholders. Key Responsibilities Assess existing Data Engineering platforms, workflows, pipelines, architecture, and operational processes and identify opportunities for optimization. Design and implement improvements to enhance data pipeline performance, scalability, reliability, maintainability, and operational efficiency. Identify opportunities to introduce automation and AI capabilities across Data Engineering processes. Develop Proofs of Concept (POCs) for AI- and automation-driven ideas and evaluate their technical and business feasibility. Drive successful POCs through implementation and production adoption in collaboration with engineering, architecture, security, and business teams. Design and implement solutions leveraging Agentic AI, Generative AI, and AI-assisted Data Engineering. Identify opportunities to apply AI throughout the Software Development Life Cycle, including: Requirements analysis Solution design Code generation and optimization Data pipeline development Automated testing Data quality validation Documentation Monitoring and observability Incident analysis and troubleshooting Build and optimize scalable Data Engineering solutions using Databricks. Design, develop, and optimize enterprise data workloads using AWS Redshift. Develop and optimize ETL/ELT pipelines supporting large-scale structured and unstructured data environments. Evaluate existing engineering practices and proactively recommend improvements rather than relying solely on predefined requirements. Identify repetitive or manual engineering activities that can be automated through scripts, workflows, AI agents, or orchestration platforms. Partner with Data Engineers, Data Architects, Data Scientists, AI/ML teams, application teams, and business stakeholders. Translate complex technical opportunities into clear business value and build stakeholder alignment around proposed solutions. Establish reusable engineering patterns, frameworks, accelerators, and best practices. Conduct technical evaluations of emerging AI and Data Engineering technologies and recommend appropriate adoption strategies. Support troubleshooting and root-cause analysis of complex Data Engineering and platform-related issues. Document technical designs, architecture decisions, POCs, implementation approaches, and operational procedures. Required Technical Skills Strong hands-on experience in Data Engineering within large-scale enterprise environments. Advanced experience with Databricks. Strong experience with AWS Redshift. Strong understanding of: Data lakes and lakehouse architectures Data warehouses ETL/ELT architecture Distributed data processing Data pipeline orchestration Data quality and governance Performance optimization Hands-on experience with Apache Spark / PySpark. Strong programming experience with Python. Strong SQL development and query optimization skills. Experience working with AWS Data and Analytics services. Experience designing and supporting scalable cloud-based data platforms. Understanding of CI/CD and DevOps principles within Data Engineering environments. AI & Automation Experience Candidates should have practical experience applying AI beyond traditional analytics or machine learning use cases. Preferred experience includes: Agentic AI / AI Agents Generative AI applications within Data Engineering LLM-based engineering solutions AI-assisted code generation and review Automated pipeline troubleshooting Intelligent Data Quality validation AI-assisted data transformation and mapping AI-driven monitoring and anomaly detection Automated documentation and metadata generation AI-enabled SDLC processes Prompt engineering and LLM integration Development of AI/automation POCs Integration of AI solutions into production engineering workflows Experience with AI development frameworks such as LangChain, LangGraph, Semantic Kernel, Amazon Bedrock, OpenAI/Azure OpenAI, or similar technologies would be advantageous. Required Professional Skills Strong analytical and problem-solving capabilities. Demonstrated ability to independently identify technical and process improvement opportunities. Strong innovation mindset with a track record of proposing and implementing new ideas. Ability to operate effectively in ambiguous environments without requiring detailed direction. Strong communication and stakeholder-management skills. Ability to collaborate across technical teams, business stakeholders, leadership, and architecture groups. Ability to explain complex technical concepts to non-technical stakeholders. Strong ownership mentality with the ability to take ideas from concept POC validation implementation. Ability to work effectively as part of a collaborative engineering team. Preferred Qualifications 8+ years of overall Data Engineering, Data Platform, or related engineering experience. Significant hands-on experience with enterprise Data Engineering architectures. Experience leading Data Engineering modernization or optimization initiatives. Demonstrated experience building AI- or automation-enabled engineering solutions. Experience working within large, complex enterprise environments. Experience influencing architecture or engineering standards across multiple teams. Exposure to airline, transportation, travel, or other large-scale transactional environments would be advantageous. Ideal Candidate Profile The ideal candidate is not simply someone who can build pipelines from predefined requirements. We are looking for an engineer who can evaluate the existing environment, identify what can be improved, and proactively develop solutions. This person should be able to: Understand the current Data Engineering landscape quickly. Identify inefficiencies and improvement opportunities. Determine where AI or automation can create measurable value. Build working POCs rather than limiting recommendations to conceptual presentations. Demonstrate the value of proposed solutions to technical and business stakeholders. Convert successful concepts into scalable production implementations. Challenge existing engineering practices constructively. Work collaboratively and fit effectively within a multidisciplinary team. Core Skills Databricks AWS Redshift Data Engineering Python PySpark SQL AWS ETL/ELT Data Lakehouse Agentic AI Generative AI LLMs AI Automation AI across SDLC POC Development Data Platform Optimization Stakeholder Management Innovation Company Description We provide Management Consulting, Information Technology Consulting, and Sourcing Advisory Services. Our management consulting services focus on our client's most critical issues and opportunities: strategy, marketing, organization, operations, technology, and mergers & acquisitions, across all industries and geographies. We bring deep, functional expertise, but are known for our holistic perspective: we capture value across boundaries and between the silos of any organization. We have proven a multiplier effect by optimizing the sum of the parts, not just the individual pieces. In today's dynamic business environment there is a strong need for the organizations to become globally competitive. Enterprise Resource Planning (ERP) has become an important software tool for managing business applications across various industries . click apply for full job details

Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. Schedule & Location Employment Type: Full-time, exempt (salaried). This role can be based out of our Norwood, MA or Johnston, RI office, with an in-office schedule of 2 days per week and flexibility to work remotely 3 days per week, dependent on business needs. Relocation assistance is not offered for this position. Job Summary FM is seeking an experienced Analytics Solution Architect to lead the design and delivery of enterprise analytics, AI, and data-driven solutions. In this role, you will work across modern data, cloud, and application platforms to build scalable, secure, and production-ready solutions that enable advanced analytics, machine learning, business intelligence, and operational decision-making. You will partner closely with business stakeholders, product owners, data scientists, engineers, and platform teams to translate business needs into technical solutions. This role requires a blend of solution architecture, analytics architecture, software engineering, cloud technologies, and AI enablement, with a focus on delivering solutions that are reliable, maintainable, and aligned with long-term business objectives. The ideal candidate combines strong architecture and engineering expertise with the ability to lead through collaboration. You will help define how data, analytics, applications, and AI capabilities are designed, integrated, deployed, governed, and supported across the enterprise while providing technical leadership on strategic initiatives. Responsibilities Lead the architecture and delivery of data, AI and business solutions by designing scalable applications, data and analytics platforms, integration frameworks, and cloud-based solutions. Partner with business stakeholders, product owners, data scientists and engineering teams to translate business needs into technical solutions, define architecture roadmaps, and drive the successful delivery of strategic initiatives. Design and operationalize AI and machine learning solutions by enabling the transition of analytical models from development into secure, scalable, and production-ready environments while ensuring reliability, maintainability, and long-term supportability. Establish architecture standards and governance to ensure scalable, secure, reliable, and maintainable solutions across data, application, and cloud platforms. Evaluate emerging technologies, architecture patterns, and AI capabilities to drive innovation, platform modernization, and improved business outcomes. Provide technical leadership by mentoring teammates, advising stakeholders, and promoting best practices in solution architecture, application development, data and AI platforms, and technology delivery. Qualifications: Minimum of 7 years of experience in Solution Architecture or related technical leadership roles, with experience delivering data, analytics, AI, and cloud-based solutions; 10+ years preferred. Solution Architecture: Experience designing and delivering scalable applications, data and analytics platforms, cloud-native solutions, and integration architectures in an enterprise environment. Advanced Analytics Enablement: Experience partnering with data science teams to design, deploy, and operationalize machine learning and AI solutions in production environments. Technical Expertise: Strong understanding of modern software development practices, cloud and data platforms, CI/CD, security, and operational support. Experience with Python, machine learning concepts, and operationalizing analytical models preferred. Effective communication: Ability to translate complex technical concepts into clear recommendations for business, technical, and senior stakeholder audiences through strong written, verbal, and interpersonal communication. Decision making: Demonstrated ability to evaluate priorities, assess return on investment, resolve obstacles, and make sound architecture recommendations that support business outcomes and enterprise standards. Collaboration and teamwork: Proven ability to influence cross-functional teams, mentor technical staff, build strong stakeholder relationships, and drive successful delivery of strategic initiatives. Leadership mindset: Self-directed, customer-focused professional with strong problem-solving skills and a commitment to delivering high-quality scalable Analytics and AI solutions. Education and Certifications Bachelor's degree in computer science, Information Technology, Data Analytics, Data Science, Engineering, or a related field; equivalent experience considered. Master's degree in information technology, analytics, data science, or related discipline preferred. The hiring range for this position is $121,000 - $198,000 a year. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, medical, dental and vision insurance, life and disability insurance, well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, and time off, including vacation and sick time. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

Job Description Job Description Description: AI/ML Technical Lead CASCOM ESD Enterprise Analytics/AI Program Schedule: Full-Time / 1.0 FTE Work Arrangement: Primarily Remote with Required Travel to Fort Lee, VA Clearance: Active Final Secret Required The Opportunity We're looking for an AI/ML Technical Lead who still builds. This position requires hands-on technical leadership across AI/ML solutions using CASCOM, GCSS-Army, SAP, and other Army data. The successful candidate must be capable of personally coding, evaluating, deploying, and sustaining models-not simply directing an AI strategy or managing data science teams. Potential use cases include GenAI/OpenAI, RAG, Copilot, document extraction, anomaly detection, equipment-readiness and maintenance forecasting, fleet automation, recommendation capabilities, and supply forecasting. What You'll Do Lead selection and technical refinement of three baseline AI/ML use cases. Define mission questions, data requirements, technical baselines, performance metrics, and acceptance criteria. Perform hands-on data exploration and feature engineering. Develop, train, validate, and comparatively evaluate machine-learning models. Conduct error analysis and document model limitations. Develop selected GenAI, RAG, forecasting, anomaly-detection, or recommendation capabilities. Work with GCSS-Army SMEs to validate business rules and interpret model results. Partner with Azure Data/MLOps engineering resources to package, deploy, version, monitor, and sustain models. Establish appropriate human-review processes for model outputs affecting operational decisions. Develop model cards, evaluation results, release documentation, known limitations, and retraining criteria. Integrate analytical outputs into dashboards, Power Apps, APIs, or other operational solutions. Participate in demonstrations and production-readiness reviews. .Requirements: Must-Have Qualifications Active final Secret clearance. 7+ years of data science, machine learning, advanced analytics, or applied AI experience. 4+ years developing machine-learning solutions. Hands-on production AI/ML development experience. Strong Python and SQL skills. Experience delivering at least three substantive models or AI capabilities. At least one model personally taken from requirements through production or operational deployment. Experience with Azure AI/ML services or a comparable cloud environment. Ability to explain model evaluation, deployment, monitoring, and retraining. Strong experience with pandas, NumPy, scikit-learn, and at least one major ML/deep-learning framework. Experience with at least two of the following: Forecasting Anomaly detection Classification Recommendation engines Optimization Document extraction NLP, RAG, or GenAI Experience establishing measurable model-performance criteria. Experience with feature engineering, training, validation/test data, error analysis, explainability, and model documentation. Bachelor's degree in computer science, data science, statistics, mathematics, operations research, engineering, or related discipline, or equivalent specialized experience. Strongly Preferred Azure Machine Learning, Azure OpenAI, Azure AI Search, Microsoft Copilot, or comparable Azure AI services. Defense logistics, maintenance, readiness, fleet, supply-chain, acquisition, property, or financial analytics. GCSS-Army, SAP ECC, ERP, or maintenance-system data. Government-cloud or classified deployment experience. Model monitoring, drift detection, bias testing, red teaming, or human-in-the-loop validation. Integration of model outputs with Power BI, Power Apps, APIs, or operational applications. Experience presenting technical findings to operational users and senior leadership. About Xtreme Solutions XSI is a leading provider of information technology and professional services known for outstanding service delivery in a wide range of professional services engagements around the country. Team XSI continually meets and exceeds customer expectations. We are passionate about our work and making a difference. Our vision is to be the best professional services management company for both our customers and our employees. We need employees that share this vision. Our remarkable employees are the key to our company's incredible success. XSI promotes a work environment of trust, integrity, respect, continual improvement, customer satisfaction, and business success. We strive to provide a competitive salary and benefits, an engaging and rewarding work environment, and training and development opportunities. Equal Employment Opportunity Xtreme Solutions, Inc. is an Equal Opportunity Employer and federal contractor. All qualified applicants will receive consideration for employment without discrimination based on any status protected by applicable federal, state, or local law.As a federal contractor, Xtreme Solutions, Inc. takes affirmative action to employ and advance in employment qualified individuals with disabilities and protected veterans. We are committed to providing equal employment opportunities throughout all aspects of employment, including recruitment, hiring, promotion, compensation, training, and other terms and conditions of employment. Equal Opportunity Employer Individuals with Disabilities Protected Veterans