Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Our consultants on the AI and Data Defense and Security team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve budget justifications and decision-making. This individual will support organizational and mission goals within the Department of Homeland Security (DHS). This role requires hands on technical expertise and strong communication skills. Responsibilities include, but are not limited to: Design, develop, implement, and maintain AI and machine learning solutions that improve strategic and tactical decision-making. Identify opportunities to improve organizational efficiency by applying AI, automation, and advanced analytics to streamline business processes, reduce manual effort, and enhance workforce productivity. Design and implement AI-enabled workflow solutions for document processing, knowledge management, literature reviews, information retrieval, case management, reporting, decision support, and other operational functions. Develop Generative AI (GenAI) solutions using large language models (LLMs), retrieval augmented generation (RAG), semantic search, vector databases, AI agents, and prompt engineering techniques. Develop predictive, classification, clustering, natural language processing (NLP), computer vision, and other machine learning models using structured, semi-structured, and unstructured data. Develop scalable data science pipelines using Python, SQL, Spark, and cloud-native analytics platforms. Evaluate, validate, and monitor AI models for performance, explainability, fairness, bias, reproducibility, and operational effectiveness. Collaborate with stakeholders to identify AI use cases, prioritize opportunities, and translate business needs into production-ready AI solutions. Develop dashboards, visualizations, technical documentation, presentations, and demonstrations that communicate AI capabilities and analytical findings to technical and non-technical audiences. Support deployment, monitoring, and continuous improvement of AI and machine learning solutions using modern MLOps and DevSecOps practices. Apply responsible AI principles, governance, privacy, security, and human-in-the-loop review throughout the AI lifecycle. Design, build, and maintain scalable ETL and AI data pipelines using Databricks, PySpark, SQL, Delta Lake, Amazon S3, and AWS analytics services. Mentor junior team members and provide technical leadership, solution design, and code reviews as appropriate. What You Will Need: Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, Public Health, or related field (or equivalent professional experience). Three (3) or more years of experience in data analytics, data visualization, or related technical consulting fields. What Would Be Nice To Have: Experience implementing AI copilots, intelligent assistants, AI agents, workflow automation, or enterprise knowledge management solutions. Experience with Amazon Bedrock, Azure OpenAI, OpenAI, Anthropic Claude, Google Vertex AI, Microsoft Copilot Studio, LangChain, LangGraph, LlamaIndex, Hugging Face, or similar AI frameworks. Experience with Databricks, Snowflake, Microsoft Fabric, Azure AI Foundry, Palantir Foundry, or other enterprise AI and analytics platforms. Experience with MLOps platforms such as MLflow, Azure ML, SageMaker, Kubeflow, or similar technologies. Relevant AI, cloud, or data platform certifications. Experience supporting federal law enforcement agencies. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
10/26/2026
Full time
Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Our consultants on the AI and Data Defense and Security team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve budget justifications and decision-making. This individual will support organizational and mission goals within the Department of Homeland Security (DHS). This role requires hands on technical expertise and strong communication skills. Responsibilities include, but are not limited to: Design, develop, implement, and maintain AI and machine learning solutions that improve strategic and tactical decision-making. Identify opportunities to improve organizational efficiency by applying AI, automation, and advanced analytics to streamline business processes, reduce manual effort, and enhance workforce productivity. Design and implement AI-enabled workflow solutions for document processing, knowledge management, literature reviews, information retrieval, case management, reporting, decision support, and other operational functions. Develop Generative AI (GenAI) solutions using large language models (LLMs), retrieval augmented generation (RAG), semantic search, vector databases, AI agents, and prompt engineering techniques. Develop predictive, classification, clustering, natural language processing (NLP), computer vision, and other machine learning models using structured, semi-structured, and unstructured data. Develop scalable data science pipelines using Python, SQL, Spark, and cloud-native analytics platforms. Evaluate, validate, and monitor AI models for performance, explainability, fairness, bias, reproducibility, and operational effectiveness. Collaborate with stakeholders to identify AI use cases, prioritize opportunities, and translate business needs into production-ready AI solutions. Develop dashboards, visualizations, technical documentation, presentations, and demonstrations that communicate AI capabilities and analytical findings to technical and non-technical audiences. Support deployment, monitoring, and continuous improvement of AI and machine learning solutions using modern MLOps and DevSecOps practices. Apply responsible AI principles, governance, privacy, security, and human-in-the-loop review throughout the AI lifecycle. Design, build, and maintain scalable ETL and AI data pipelines using Databricks, PySpark, SQL, Delta Lake, Amazon S3, and AWS analytics services. Mentor junior team members and provide technical leadership, solution design, and code reviews as appropriate. What You Will Need: Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, Public Health, or related field (or equivalent professional experience). Three (3) or more years of experience in data analytics, data visualization, or related technical consulting fields. What Would Be Nice To Have: Experience implementing AI copilots, intelligent assistants, AI agents, workflow automation, or enterprise knowledge management solutions. Experience with Amazon Bedrock, Azure OpenAI, OpenAI, Anthropic Claude, Google Vertex AI, Microsoft Copilot Studio, LangChain, LangGraph, LlamaIndex, Hugging Face, or similar AI frameworks. Experience with Databricks, Snowflake, Microsoft Fabric, Azure AI Foundry, Palantir Foundry, or other enterprise AI and analytics platforms. Experience with MLOps platforms such as MLflow, Azure ML, SageMaker, Kubeflow, or similar technologies. Relevant AI, cloud, or data platform certifications. Experience supporting federal law enforcement agencies. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Our consultants on the AI and Data Defense and Security team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve budget justifications and decision-making. This individual will support organizational and mission goals within the Department of Homeland Security (DHS). This role requires hands on technical expertise and strong communication skills. Responsibilities include, but are not limited to: Design, develop, implement, and maintain AI and machine learning solutions that improve strategic and tactical decision-making. Identify opportunities to improve organizational efficiency by applying AI, automation, and advanced analytics to streamline business processes, reduce manual effort, and enhance workforce productivity. Design and implement AI-enabled workflow solutions for document processing, knowledge management, literature reviews, information retrieval, case management, reporting, decision support, and other operational functions. Develop Generative AI (GenAI) solutions using large language models (LLMs), retrieval augmented generation (RAG), semantic search, vector databases, AI agents, and prompt engineering techniques. Develop predictive, classification, clustering, natural language processing (NLP), computer vision, and other machine learning models using structured, semi-structured, and unstructured data. Develop scalable data science pipelines using Python, SQL, Spark, and cloud-native analytics platforms. Evaluate, validate, and monitor AI models for performance, explainability, fairness, bias, reproducibility, and operational effectiveness. Collaborate with stakeholders to identify AI use cases, prioritize opportunities, and translate business needs into production-ready AI solutions. Develop dashboards, visualizations, technical documentation, presentations, and demonstrations that communicate AI capabilities and analytical findings to technical and non-technical audiences. Support deployment, monitoring, and continuous improvement of AI and machine learning solutions using modern MLOps and DevSecOps practices. Apply responsible AI principles, governance, privacy, security, and human-in-the-loop review throughout the AI lifecycle. Design, build, and maintain scalable ETL and AI data pipelines using Databricks, PySpark, SQL, Delta Lake, Amazon S3, and AWS analytics services. Mentor junior team members and provide technical leadership, solution design, and code reviews as appropriate. What You Will Need: Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, Public Health, or related field (or equivalent professional experience). Three (3) or more years of experience in data analytics, data visualization, or related technical consulting fields. What Would Be Nice To Have: Experience implementing AI copilots, intelligent assistants, AI agents, workflow automation, or enterprise knowledge management solutions. Experience with Amazon Bedrock, Azure OpenAI, OpenAI, Anthropic Claude, Google Vertex AI, Microsoft Copilot Studio, LangChain, LangGraph, LlamaIndex, Hugging Face, or similar AI frameworks. Experience with Databricks, Snowflake, Microsoft Fabric, Azure AI Foundry, Palantir Foundry, or other enterprise AI and analytics platforms. Experience with MLOps platforms such as MLflow, Azure ML, SageMaker, Kubeflow, or similar technologies. Relevant AI, cloud, or data platform certifications. Experience supporting federal law enforcement agencies. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
10/26/2026
Full time
Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Our consultants on the AI and Data Defense and Security team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve budget justifications and decision-making. This individual will support organizational and mission goals within the Department of Homeland Security (DHS). This role requires hands on technical expertise and strong communication skills. Responsibilities include, but are not limited to: Design, develop, implement, and maintain AI and machine learning solutions that improve strategic and tactical decision-making. Identify opportunities to improve organizational efficiency by applying AI, automation, and advanced analytics to streamline business processes, reduce manual effort, and enhance workforce productivity. Design and implement AI-enabled workflow solutions for document processing, knowledge management, literature reviews, information retrieval, case management, reporting, decision support, and other operational functions. Develop Generative AI (GenAI) solutions using large language models (LLMs), retrieval augmented generation (RAG), semantic search, vector databases, AI agents, and prompt engineering techniques. Develop predictive, classification, clustering, natural language processing (NLP), computer vision, and other machine learning models using structured, semi-structured, and unstructured data. Develop scalable data science pipelines using Python, SQL, Spark, and cloud-native analytics platforms. Evaluate, validate, and monitor AI models for performance, explainability, fairness, bias, reproducibility, and operational effectiveness. Collaborate with stakeholders to identify AI use cases, prioritize opportunities, and translate business needs into production-ready AI solutions. Develop dashboards, visualizations, technical documentation, presentations, and demonstrations that communicate AI capabilities and analytical findings to technical and non-technical audiences. Support deployment, monitoring, and continuous improvement of AI and machine learning solutions using modern MLOps and DevSecOps practices. Apply responsible AI principles, governance, privacy, security, and human-in-the-loop review throughout the AI lifecycle. Design, build, and maintain scalable ETL and AI data pipelines using Databricks, PySpark, SQL, Delta Lake, Amazon S3, and AWS analytics services. Mentor junior team members and provide technical leadership, solution design, and code reviews as appropriate. What You Will Need: Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, Public Health, or related field (or equivalent professional experience). Three (3) or more years of experience in data analytics, data visualization, or related technical consulting fields. What Would Be Nice To Have: Experience implementing AI copilots, intelligent assistants, AI agents, workflow automation, or enterprise knowledge management solutions. Experience with Amazon Bedrock, Azure OpenAI, OpenAI, Anthropic Claude, Google Vertex AI, Microsoft Copilot Studio, LangChain, LangGraph, LlamaIndex, Hugging Face, or similar AI frameworks. Experience with Databricks, Snowflake, Microsoft Fabric, Azure AI Foundry, Palantir Foundry, or other enterprise AI and analytics platforms. Experience with MLOps platforms such as MLflow, Azure ML, SageMaker, Kubeflow, or similar technologies. Relevant AI, cloud, or data platform certifications. Experience supporting federal law enforcement agencies. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Job Description Job Description Benefits: Competitive salary Opportunity for advancement Training & development Role: AI/ML Technical Lead Location: Fort Belvoir, VA 22060 Let's Create Our Future Together at The AES Group! Position Overview We are seeking an AI/ML Technical Lead to design, build, and deploy scalable machine learning models and AI-powered solutions. This role will collaborate with engineering, product, data, and business teams to transform complex data into practical, measurable solutions. The ideal candidate has strong technical leadership, problem-solving skills, production AI/ML experience, and expertise in Large Language Models. Key Responsibilities Lead the design, development, training, testing, and deployment of AI and machine learning models. Build scalable ML pipelines for data processing, model training, validation, and production deployment. Work with structured and unstructured data, including text, images, documents, and large datasets. Collaborate with data engineers, software engineers, and product teams to integrate AI/ML capabilities into applications. Evaluate and improve model accuracy, efficiency, reliability, scalability, and performance. Develop predictive models, recommendation systems, NLP tools, automation workflows, and generative AI solutions. Research and apply modern AI/ML tools, techniques, architectures, and best practices. Monitor deployed models and address model drift, bias, data quality, and performance issues. Document model architecture, assumptions, limitations, metrics, and technical decisions. Promote responsible AI practices related to security, privacy, fairness, governance, and compliance. Provide technical direction, code reviews, mentoring, and implementation guidance to engineering teams. Required Qualifications Active Secret security clearance or higher. Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Engineering, or a related field. Three or more years of experience in AI, machine learning, data science, or software engineering. Strong Python programming skills. Experience with PyTorch, TensorFlow, Scikit-learn, Keras, XGBoost, or similar frameworks. Experience developing and deploying production machine learning models. Strong knowledge of algorithms, feature engineering, statistical analysis, and model evaluation. Experience processing large datasets using modern data tools. Familiarity with APIs, cloud platforms, and software development practices. Ability to communicate complex technical concepts to technical and non-technical stakeholders. Preferred Qualifications Master's degree or PhD in a related field. Experience with Generative AI, LLMs, NLP, computer vision, or deep learning. Experience with Ask Sage, Hugging Face, LangChain, OpenAI APIs, Azure AI, AWS SageMaker, or Google Vertex AI. Experience with MLflow, Kubeflow, Airflow, Docker, Kubernetes, and CI/CD pipelines. Experience with SQL, Spark, Databricks, Snowflake, or cloud data warehouses. Knowledge of AI governance, ethics, bias testing, security, and data privacy standards. Experience deploying AI solutions in enterprise environments. Technical Skills Languages: Python, SQL, and R ML Frameworks: PyTorch, TensorFlow, Scikit-learn, and XGBoost Cloud Platforms: AWS, Microsoft Azure, or Google Cloud MLOps: Docker, Kubernetes, MLflow, Airflow, and CI/CD Data Tools: Pandas, NumPy, Spark, Snowflake, and Databricks AI/LLM Tools: Ask Sage, Hugging Face, LangChain, OpenAI, and vector databases
09/29/2026
Full time
Job Description Job Description Benefits: Competitive salary Opportunity for advancement Training & development Role: AI/ML Technical Lead Location: Fort Belvoir, VA 22060 Let's Create Our Future Together at The AES Group! Position Overview We are seeking an AI/ML Technical Lead to design, build, and deploy scalable machine learning models and AI-powered solutions. This role will collaborate with engineering, product, data, and business teams to transform complex data into practical, measurable solutions. The ideal candidate has strong technical leadership, problem-solving skills, production AI/ML experience, and expertise in Large Language Models. Key Responsibilities Lead the design, development, training, testing, and deployment of AI and machine learning models. Build scalable ML pipelines for data processing, model training, validation, and production deployment. Work with structured and unstructured data, including text, images, documents, and large datasets. Collaborate with data engineers, software engineers, and product teams to integrate AI/ML capabilities into applications. Evaluate and improve model accuracy, efficiency, reliability, scalability, and performance. Develop predictive models, recommendation systems, NLP tools, automation workflows, and generative AI solutions. Research and apply modern AI/ML tools, techniques, architectures, and best practices. Monitor deployed models and address model drift, bias, data quality, and performance issues. Document model architecture, assumptions, limitations, metrics, and technical decisions. Promote responsible AI practices related to security, privacy, fairness, governance, and compliance. Provide technical direction, code reviews, mentoring, and implementation guidance to engineering teams. Required Qualifications Active Secret security clearance or higher. Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Engineering, or a related field. Three or more years of experience in AI, machine learning, data science, or software engineering. Strong Python programming skills. Experience with PyTorch, TensorFlow, Scikit-learn, Keras, XGBoost, or similar frameworks. Experience developing and deploying production machine learning models. Strong knowledge of algorithms, feature engineering, statistical analysis, and model evaluation. Experience processing large datasets using modern data tools. Familiarity with APIs, cloud platforms, and software development practices. Ability to communicate complex technical concepts to technical and non-technical stakeholders. Preferred Qualifications Master's degree or PhD in a related field. Experience with Generative AI, LLMs, NLP, computer vision, or deep learning. Experience with Ask Sage, Hugging Face, LangChain, OpenAI APIs, Azure AI, AWS SageMaker, or Google Vertex AI. Experience with MLflow, Kubeflow, Airflow, Docker, Kubernetes, and CI/CD pipelines. Experience with SQL, Spark, Databricks, Snowflake, or cloud data warehouses. Knowledge of AI governance, ethics, bias testing, security, and data privacy standards. Experience deploying AI solutions in enterprise environments. Technical Skills Languages: Python, SQL, and R ML Frameworks: PyTorch, TensorFlow, Scikit-learn, and XGBoost Cloud Platforms: AWS, Microsoft Azure, or Google Cloud MLOps: Docker, Kubernetes, MLflow, Airflow, and CI/CD Data Tools: Pandas, NumPy, Spark, Snowflake, and Databricks AI/LLM Tools: Ask Sage, Hugging Face, LangChain, OpenAI, and vector databases
Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.
09/28/2026
Full time
Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.