Job Description Date Posted: 2026-10-06 Country: United States of America Location: US-AZ-TUCSON-M E Hemisphere Loop BLDG M10 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Test Solutions Engineering (TSE) organization includes all of the engineering disciplines responsible for systems design & test of all Raytheon products. Our engineers are responsible for all elements of the development lifecycle for test including: test requirements, test system design, advanced engineering prototyping technology, flight operations, environmental testing, and environmental characterization. We are hands-on, designing with the latest technology and tools, and integrate state of the art test solutions with the most advanced engineering systems in the world. This role is 100% onsite in our Tucson, AZ Location. As a Test Systems Engineer II, you will work with multiple engineering teams to define, design, and document Test Environment capabilities and requirements. You must be a systems thinker, able to see the "big picture", and be open to growth to understand how prime hardware should be tested at every (from component to All-Up-Round) to ensure robustness and efficiency. What You Will Do You will apply your knowledge of the subsystem and collaborate with other Engineering disciplines to develop and implement the subsystem model using Model Based System Engineering tools and methods. Detail capabilities and derive requirements. Communicate test equipment needs and requirements to Test Equipment designers. Manage requirements and traceability. Leverage and apply reuse of Test Environment requirements and models to promote efficiency in test design and development. You will develop subsystem requirements, interfaces, behaviors, and architecture. You will interact with Technical SMEs as necessary to fully understand the subsystem including identifying and resolving issues and supporting related subsystem trades or analysis. Qualifications You Must Have Bachelor's in Science, Technology, Engineering, or Mathematics (STEM) with a minimum of two (2) years of experience directly related engineering experience (or a STEM Masters in lieu of experience) Systems Engineering experience in test requirements development, test planning, test techniques, test methodologies, embedded functional test, and integration, verification, and validation for test Experience demonstrating a systems engineering approach for test-related activities within the product lifecycle. The ability to obtain and maintain a US security clearance prior to the start date. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience with Agile processes and techniques. Experience with Dynamic Object-Oriented Requirements System (DOORS). Experience with development, environmental, qualification, production, manufacturing and operations testing Experience problem solving and debugging. Experience with Model Based Engineering processes, techniques, and tools (Rhapsody and IBM Rational Model Manager and/or Cameo Systems Modeler/Enterprise Architect and Teamwork Cloud preferred, with understanding of Systems Modeling Language (SysML), and/or Unified Modeling Language (UML). Experience working cross-functionally, within and outside your own team, to support the development and growth of work tasks Experience in developing, decomposing, and managing systems requirements Experience recognizing areas of improvement or customer needs and relaying them to senior staff as business development possibilities. Experience demonstrating a sense of urgency, prudent risk-taking and adaptive response to challenges. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: Onsite Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Candidates will learn more about role type and current site status throughout the recruiting process. Requires theoretical to advanced knowledge of work area typically obtained through University Degree combined with experience. Practical knowledge of RTX projects, programs or systems with the ability to make enhancements and leverage in daily work. Typically requires a University Degree or equivalent experience and minimum 2 years of prior relevant experience. Engineering/Other Technical Positions: Typically requires a degree in Science, Technology, Engineering or Mathematics(STEM) and a minimum of 2 years of prior relevant experience unless prohibited by local laws/regulations. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: . click apply for full job details
11/11/2026
Full time
Job Description Date Posted: 2026-10-06 Country: United States of America Location: US-AZ-TUCSON-M E Hemisphere Loop BLDG M10 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Test Solutions Engineering (TSE) organization includes all of the engineering disciplines responsible for systems design & test of all Raytheon products. Our engineers are responsible for all elements of the development lifecycle for test including: test requirements, test system design, advanced engineering prototyping technology, flight operations, environmental testing, and environmental characterization. We are hands-on, designing with the latest technology and tools, and integrate state of the art test solutions with the most advanced engineering systems in the world. This role is 100% onsite in our Tucson, AZ Location. As a Test Systems Engineer II, you will work with multiple engineering teams to define, design, and document Test Environment capabilities and requirements. You must be a systems thinker, able to see the "big picture", and be open to growth to understand how prime hardware should be tested at every (from component to All-Up-Round) to ensure robustness and efficiency. What You Will Do You will apply your knowledge of the subsystem and collaborate with other Engineering disciplines to develop and implement the subsystem model using Model Based System Engineering tools and methods. Detail capabilities and derive requirements. Communicate test equipment needs and requirements to Test Equipment designers. Manage requirements and traceability. Leverage and apply reuse of Test Environment requirements and models to promote efficiency in test design and development. You will develop subsystem requirements, interfaces, behaviors, and architecture. You will interact with Technical SMEs as necessary to fully understand the subsystem including identifying and resolving issues and supporting related subsystem trades or analysis. Qualifications You Must Have Bachelor's in Science, Technology, Engineering, or Mathematics (STEM) with a minimum of two (2) years of experience directly related engineering experience (or a STEM Masters in lieu of experience) Systems Engineering experience in test requirements development, test planning, test techniques, test methodologies, embedded functional test, and integration, verification, and validation for test Experience demonstrating a systems engineering approach for test-related activities within the product lifecycle. The ability to obtain and maintain a US security clearance prior to the start date. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience with Agile processes and techniques. Experience with Dynamic Object-Oriented Requirements System (DOORS). Experience with development, environmental, qualification, production, manufacturing and operations testing Experience problem solving and debugging. Experience with Model Based Engineering processes, techniques, and tools (Rhapsody and IBM Rational Model Manager and/or Cameo Systems Modeler/Enterprise Architect and Teamwork Cloud preferred, with understanding of Systems Modeling Language (SysML), and/or Unified Modeling Language (UML). Experience working cross-functionally, within and outside your own team, to support the development and growth of work tasks Experience in developing, decomposing, and managing systems requirements Experience recognizing areas of improvement or customer needs and relaying them to senior staff as business development possibilities. Experience demonstrating a sense of urgency, prudent risk-taking and adaptive response to challenges. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: Onsite Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Candidates will learn more about role type and current site status throughout the recruiting process. Requires theoretical to advanced knowledge of work area typically obtained through University Degree combined with experience. Practical knowledge of RTX projects, programs or systems with the ability to make enhancements and leverage in daily work. Typically requires a University Degree or equivalent experience and minimum 2 years of prior relevant experience. Engineering/Other Technical Positions: Typically requires a degree in Science, Technology, Engineering or Mathematics(STEM) and a minimum of 2 years of prior relevant experience unless prohibited by local laws/regulations. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: . click apply for full job details
Job Description AI Architect (GenAI / MLOps) Charlotte, NC (Hybrid) Full Time Position Overview Turning promising AI ideas into production systems that are secure, compliant, and built to scale is the hard part of enterprise AI. This role sits at the center of that work. You'll own the architecture for enterprise AI and GenAI solutions end to end, from data foundations and model selection through deployment, governance, and monitoring. You'll work closely with business, data, engineering, and risk teams, and you'll advise executives on what's feasible, what's worth it, and what the trade-offs are. What You'll Do / Key Responsibilities Design end-to-end AI/ML and GenAI architectures (RAG, agents, fine-tuning, model serving) that integrate with existing enterprise platforms Evaluate and select LLMs, vector databases, orchestration frameworks, and MLOps tooling Define reference architectures, patterns, and standards for reuse across teams Partner with data engineering on pipelines, feature stores, and data quality for AI workloads Build in responsible AI: model risk management, explainability, bias testing, audit trails, and regulatory compliance Establish MLOps/LLMOps practices covering CI/CD, evaluation, observability, drift detection, and cost control Lead proofs of concept and pilots, and move them to production Advise stakeholders and executives on AI strategy, feasibility, and trade-offs Mentor engineers and data scientists, and run architecture reviews Required Qualifications 10+ years in software or data engineering, with 4+ years architecting AI/ML solutions in production Hands-on experience with LLMs and GenAI: prompt engineering, RAG, embeddings, and agent frameworks (e.g., LangChain, LlamaIndex) Strong Python skills and fluency in ML frameworks (PyTorch, TensorFlow, scikit-learn) Deep experience with at least one major cloud (AWS, Azure, or GCP) and its AI services (e.g., SageMaker, Bedrock, Azure OpenAI, Vertex AI) Experience with MLOps tooling (MLflow, Kubeflow, Docker, Kubernetes, CI/CD) Solid grounding in data architecture: data lakes/warehouses, streaming, APIs, and microservices Knowledge of security, privacy, and governance for AI systems Excellent communication, with the ability to explain technical trade-offs to non-technical leaders Preferred Qualifications Experience in banking, insurance, or asset/wealth management, including regulatory expectations (e.g., SR 11-7 model risk) Experience with vector databases (Pinecone, pgvector, OpenSearch) and fine-tuning or evaluation frameworks Cloud or architecture certifications (e.g., AWS ML Specialty, Azure AI Engineer, TOGAF) Master's or PhD in Computer Science, Data Science, or a related field
11/11/2026
Full time
Job Description AI Architect (GenAI / MLOps) Charlotte, NC (Hybrid) Full Time Position Overview Turning promising AI ideas into production systems that are secure, compliant, and built to scale is the hard part of enterprise AI. This role sits at the center of that work. You'll own the architecture for enterprise AI and GenAI solutions end to end, from data foundations and model selection through deployment, governance, and monitoring. You'll work closely with business, data, engineering, and risk teams, and you'll advise executives on what's feasible, what's worth it, and what the trade-offs are. What You'll Do / Key Responsibilities Design end-to-end AI/ML and GenAI architectures (RAG, agents, fine-tuning, model serving) that integrate with existing enterprise platforms Evaluate and select LLMs, vector databases, orchestration frameworks, and MLOps tooling Define reference architectures, patterns, and standards for reuse across teams Partner with data engineering on pipelines, feature stores, and data quality for AI workloads Build in responsible AI: model risk management, explainability, bias testing, audit trails, and regulatory compliance Establish MLOps/LLMOps practices covering CI/CD, evaluation, observability, drift detection, and cost control Lead proofs of concept and pilots, and move them to production Advise stakeholders and executives on AI strategy, feasibility, and trade-offs Mentor engineers and data scientists, and run architecture reviews Required Qualifications 10+ years in software or data engineering, with 4+ years architecting AI/ML solutions in production Hands-on experience with LLMs and GenAI: prompt engineering, RAG, embeddings, and agent frameworks (e.g., LangChain, LlamaIndex) Strong Python skills and fluency in ML frameworks (PyTorch, TensorFlow, scikit-learn) Deep experience with at least one major cloud (AWS, Azure, or GCP) and its AI services (e.g., SageMaker, Bedrock, Azure OpenAI, Vertex AI) Experience with MLOps tooling (MLflow, Kubeflow, Docker, Kubernetes, CI/CD) Solid grounding in data architecture: data lakes/warehouses, streaming, APIs, and microservices Knowledge of security, privacy, and governance for AI systems Excellent communication, with the ability to explain technical trade-offs to non-technical leaders Preferred Qualifications Experience in banking, insurance, or asset/wealth management, including regulatory expectations (e.g., SR 11-7 model risk) Experience with vector databases (Pinecone, pgvector, OpenSearch) and fine-tuning or evaluation frameworks Cloud or architecture certifications (e.g., AWS ML Specialty, Azure AI Engineer, TOGAF) Master's or PhD in Computer Science, Data Science, or a related field
Job Description We are looking for a highly experienced Senior AI & Data Analytics Architect to join our team and lead the design, development, and deployment of enterprise-scale AI, ML, and GenAI solutions. Role- AI Data Architect Location- Remote (Preferred - Columbus, Ohio and / OR Edison, NJ) 10+ years of experience in Data Analytics, Software Engineering, Data Engineering, or Machine Learning Engineering 5+ years of hands-on experience in Advanced Analytics and Measurement 3+ years of experience designing and delivering production-grade AI/ML and Generative AI solutions following skills: Measurement and analytics: Designs measurement frameworks, KPIs, and success metrics that tie AI and business initiatives to measurable outcomes. Experienced with A/B testing, multivariate testing, causal inference, attribution modelling, and marketing mix modelling. Advanced data analytics: Strong in statistical analysis, predictive modelling, and data storytelling. Turns complex datasets into actionable insights for business and executive stakeholders. BI and visualization: Proficient in Tableau, Power BI, Looker, and Google Analytics/GA4. Builds self-service dashboards and reporting layers. Data platforms: Hands-on with Snowflake, Databricks, BigQuery, Redshift, dbt, and ETL/ELT pipelines. Brings strong data modelling and data quality practices. Architecture: Designs end-to-end AI and analytics architecture, including data ingestion, model training, serving, monitoring, measurement, and governance. Can design solutions that scale, stay secure, and keep costs under control. GenAI and agents: Hands-on with LLMs, RAG, vector databases (Pinecone, Weaviate, pgvector), prompt engineering, fine-tuning, agentic frameworks (LangChain, LlamaIndex, Semantic Kernel), and LLM evaluation and guardrails. AI performance measurement: Defines and tracks model and LLM quality metrics, ROI, adoption, and business impact. Builds observability and drift detection into production AI systems. Cloud AI platforms: Expert in at least one of AWS (SageMaker, Bedrock), Azure (Azure ML, Azure OpenAI, AI Foundry), or GCP (Vertex AI). Also proficient in Kubernetes, Docker, and Terraform. MLOps and LLMOps: Experience with CI/CD for models, MLflow, Kubeflow, feature stores, and model registries. Languages and frameworks: Proficient in Python, R, SQL, PyTorch, TensorFlow, Hugging Face, and FastAPI. Responsible AI: Applies data privacy, security, and compliance requirements (GDPR, HIPAA, SOC 2) and AI governance practices to the design. Leadership: Can lead client discovery, write solution proposals and estimates, guide analytics, ML, and data engineering teams, and explain insights and architecture decisions to executive stakeholders. Preferred: Cloud or AI certifications, such as AWS ML Specialty, Azure AI Engineer, or Google Professional ML Engineer, and analytics certifications, such as Tableau, Power BI, or GA4.
11/11/2026
Full time
Job Description We are looking for a highly experienced Senior AI & Data Analytics Architect to join our team and lead the design, development, and deployment of enterprise-scale AI, ML, and GenAI solutions. Role- AI Data Architect Location- Remote (Preferred - Columbus, Ohio and / OR Edison, NJ) 10+ years of experience in Data Analytics, Software Engineering, Data Engineering, or Machine Learning Engineering 5+ years of hands-on experience in Advanced Analytics and Measurement 3+ years of experience designing and delivering production-grade AI/ML and Generative AI solutions following skills: Measurement and analytics: Designs measurement frameworks, KPIs, and success metrics that tie AI and business initiatives to measurable outcomes. Experienced with A/B testing, multivariate testing, causal inference, attribution modelling, and marketing mix modelling. Advanced data analytics: Strong in statistical analysis, predictive modelling, and data storytelling. Turns complex datasets into actionable insights for business and executive stakeholders. BI and visualization: Proficient in Tableau, Power BI, Looker, and Google Analytics/GA4. Builds self-service dashboards and reporting layers. Data platforms: Hands-on with Snowflake, Databricks, BigQuery, Redshift, dbt, and ETL/ELT pipelines. Brings strong data modelling and data quality practices. Architecture: Designs end-to-end AI and analytics architecture, including data ingestion, model training, serving, monitoring, measurement, and governance. Can design solutions that scale, stay secure, and keep costs under control. GenAI and agents: Hands-on with LLMs, RAG, vector databases (Pinecone, Weaviate, pgvector), prompt engineering, fine-tuning, agentic frameworks (LangChain, LlamaIndex, Semantic Kernel), and LLM evaluation and guardrails. AI performance measurement: Defines and tracks model and LLM quality metrics, ROI, adoption, and business impact. Builds observability and drift detection into production AI systems. Cloud AI platforms: Expert in at least one of AWS (SageMaker, Bedrock), Azure (Azure ML, Azure OpenAI, AI Foundry), or GCP (Vertex AI). Also proficient in Kubernetes, Docker, and Terraform. MLOps and LLMOps: Experience with CI/CD for models, MLflow, Kubeflow, feature stores, and model registries. Languages and frameworks: Proficient in Python, R, SQL, PyTorch, TensorFlow, Hugging Face, and FastAPI. Responsible AI: Applies data privacy, security, and compliance requirements (GDPR, HIPAA, SOC 2) and AI governance practices to the design. Leadership: Can lead client discovery, write solution proposals and estimates, guide analytics, ML, and data engineering teams, and explain insights and architecture decisions to executive stakeholders. Preferred: Cloud or AI certifications, such as AWS ML Specialty, Azure AI Engineer, or Google Professional ML Engineer, and analytics certifications, such as Tableau, Power BI, or GA4.
Job Description Position Overview We are seeking an experienced Application Architect to lead the design, development, and implementation of enterprise data, analytics, and AI solutions. The ideal candidate will have extensive experience with Microsoft Power BI, Azure Data Factory, Databricks, and multi-cloud platforms. This role will provide technical leadership in building scalable, secure, and high-performing data platforms that support enterprise reporting, business intelligence, data engineering, and AI initiatives. Key Responsibilities Design and implement scalable enterprise data and analytics architectures using cloud technologies. Develop, deploy, and maintain Power BI dashboards, reports, data models, and semantic layers. Design and manage Azure Data Factory pipelines and cloud-based ETL/ELT solutions. Build and optimize data ingestion, transformation, and orchestration processes. Administer Databricks environments, including workspace configuration, cluster management, security, and performance tuning. Deploy, configure, and manage cloud infrastructure across Microsoft Azure, AWS, and Google Cloud Platform (GCP). Ensure data quality, reliability, scalability, and security across enterprise data platforms. Implement DevOps practices, CI/CD pipelines, infrastructure automation, and cloud security measures. Research and evaluate emerging technologies in data engineering, analytics, machine learning, and generative AI. Collaborate with business stakeholders, engineers, and analysts to translate requirements into technical solutions. Provide technical guidance, review solution designs, and mentor development and engineering teams. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience. 10+ years of experience designing, developing, and supporting enterprise applications, analytics, and data solutions. Extensive experience with Microsoft Power BI, including dashboard development, DAX, semantic models, and workspace administration. Strong experience designing and maintaining Azure Data Factory pipelines and cloud-based ETL/ELT solutions. Hands-on experience administering and supporting Databricks environments. Experience deploying and managing cloud resources across Azure, AWS, and GCP. Strong understanding of data warehousing, data lakes, dimensional modeling, and enterprise analytics architecture. Experience with SQL, data integration, and performance optimization. Knowledge of DevOps, CI/CD, infrastructure automation, and cloud security best practices. Excellent analytical, communication, and problem-solving skills. Preferred Qualifications Cloud certifications in Azure, AWS, and/or Google Cloud. Databricks certification or equivalent experience. Experience with machine learning, AI platforms, and Generative AI solutions. Knowledge of data governance, metadata management, and data quality frameworks. Experience working in large enterprise or public-sector environments. Work Arrangement This is a hybrid position requiring 3 days onsite at New York, NY, and 2 days remote per week. Candidates must be able to meet the onsite schedule. Fully remote arrangements are not available. Interested candidates: Please submit your updated resume highlighting your experience in enterprise architecture, data engineering, business intelligence, and cloud platforms.
11/11/2026
Full time
Job Description Position Overview We are seeking an experienced Application Architect to lead the design, development, and implementation of enterprise data, analytics, and AI solutions. The ideal candidate will have extensive experience with Microsoft Power BI, Azure Data Factory, Databricks, and multi-cloud platforms. This role will provide technical leadership in building scalable, secure, and high-performing data platforms that support enterprise reporting, business intelligence, data engineering, and AI initiatives. Key Responsibilities Design and implement scalable enterprise data and analytics architectures using cloud technologies. Develop, deploy, and maintain Power BI dashboards, reports, data models, and semantic layers. Design and manage Azure Data Factory pipelines and cloud-based ETL/ELT solutions. Build and optimize data ingestion, transformation, and orchestration processes. Administer Databricks environments, including workspace configuration, cluster management, security, and performance tuning. Deploy, configure, and manage cloud infrastructure across Microsoft Azure, AWS, and Google Cloud Platform (GCP). Ensure data quality, reliability, scalability, and security across enterprise data platforms. Implement DevOps practices, CI/CD pipelines, infrastructure automation, and cloud security measures. Research and evaluate emerging technologies in data engineering, analytics, machine learning, and generative AI. Collaborate with business stakeholders, engineers, and analysts to translate requirements into technical solutions. Provide technical guidance, review solution designs, and mentor development and engineering teams. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience. 10+ years of experience designing, developing, and supporting enterprise applications, analytics, and data solutions. Extensive experience with Microsoft Power BI, including dashboard development, DAX, semantic models, and workspace administration. Strong experience designing and maintaining Azure Data Factory pipelines and cloud-based ETL/ELT solutions. Hands-on experience administering and supporting Databricks environments. Experience deploying and managing cloud resources across Azure, AWS, and GCP. Strong understanding of data warehousing, data lakes, dimensional modeling, and enterprise analytics architecture. Experience with SQL, data integration, and performance optimization. Knowledge of DevOps, CI/CD, infrastructure automation, and cloud security best practices. Excellent analytical, communication, and problem-solving skills. Preferred Qualifications Cloud certifications in Azure, AWS, and/or Google Cloud. Databricks certification or equivalent experience. Experience with machine learning, AI platforms, and Generative AI solutions. Knowledge of data governance, metadata management, and data quality frameworks. Experience working in large enterprise or public-sector environments. Work Arrangement This is a hybrid position requiring 3 days onsite at New York, NY, and 2 days remote per week. Candidates must be able to meet the onsite schedule. Fully remote arrangements are not available. Interested candidates: Please submit your updated resume highlighting your experience in enterprise architecture, data engineering, business intelligence, and cloud platforms.
Job Description We are seeking a highly skilled Systems Engineering with strong Data Engineering experience to design, secure, and optimize mission-critical data solutions. This role blends system engineering, secure cloud architecture, advanced analytics, ETL/AI ML data engineering, virtualization technologies, and modern development practices. The ideal candidate has experience operating in classified AWS environments, developing with Cypher/Python/Java, and working with graph technologies, while communicating complex concepts effectively to diverse stakeholders. Key Responsibilities: Design, build, and optimize ETL pipelines, including data flows supporting AI/ML/LLM projects and large-scale analytics. Clean, preprocess, analyze, and visualize medium to large datasets using modern analytic and statistical methods. Build and optimize Neo4j graph database solutions including schema design, relationship modeling, and efficient Cypher query development. Develop software components in Cypher, Python, Java, or JavaScript following secure development practices. Maintain documentation for datasets, queries, security artifacts, engineering decisions, and developed software components. Required Qualifications: Active TS/SCI with polygraph Minimum of 5 years with BS/BA including at least 2 years of Sponsor experience Hands-on experience with ETL pipelines, data modeling, activity modeling, and AI/ML supportive data engineering Proficiency in at least one programming language (Cypher, Python, Java) Experience with graphing database technologies (Neo4j and Cypher query language expertise preferred) Demonstrated experience cleaning, modeling, and visualizing medium to large datasets Experience developing dashboards or system visualizations Experience operating with modern software virtualization tools like Docker, Kubernetes Understanding of cloud infrastructure in High security environments (classified) Ability to clearly communicate complex technical concepts to both technical and nontechnical audiences Customer-specific experience supporting mission systems or classified programs Desired Qualifications Exposure to AI/ML or LLM system engineering and data workflows Familiarity with Agile development frameworks and cloud native design patterns Experience visualizing data in Tableau RCT Systems offers: Competitive benefits package (medical, dental, vision, life insurance) Immediate 401k vesting Generous PTO and flexible schedules $500.00 annual technology allowance RCT Systems is committed and proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex (to include pregnancy and related conditions, sexual orientation, and gender identity), national origin, disability, veteran status, or any other federally protected class.
11/11/2026
Full time
Job Description We are seeking a highly skilled Systems Engineering with strong Data Engineering experience to design, secure, and optimize mission-critical data solutions. This role blends system engineering, secure cloud architecture, advanced analytics, ETL/AI ML data engineering, virtualization technologies, and modern development practices. The ideal candidate has experience operating in classified AWS environments, developing with Cypher/Python/Java, and working with graph technologies, while communicating complex concepts effectively to diverse stakeholders. Key Responsibilities: Design, build, and optimize ETL pipelines, including data flows supporting AI/ML/LLM projects and large-scale analytics. Clean, preprocess, analyze, and visualize medium to large datasets using modern analytic and statistical methods. Build and optimize Neo4j graph database solutions including schema design, relationship modeling, and efficient Cypher query development. Develop software components in Cypher, Python, Java, or JavaScript following secure development practices. Maintain documentation for datasets, queries, security artifacts, engineering decisions, and developed software components. Required Qualifications: Active TS/SCI with polygraph Minimum of 5 years with BS/BA including at least 2 years of Sponsor experience Hands-on experience with ETL pipelines, data modeling, activity modeling, and AI/ML supportive data engineering Proficiency in at least one programming language (Cypher, Python, Java) Experience with graphing database technologies (Neo4j and Cypher query language expertise preferred) Demonstrated experience cleaning, modeling, and visualizing medium to large datasets Experience developing dashboards or system visualizations Experience operating with modern software virtualization tools like Docker, Kubernetes Understanding of cloud infrastructure in High security environments (classified) Ability to clearly communicate complex technical concepts to both technical and nontechnical audiences Customer-specific experience supporting mission systems or classified programs Desired Qualifications Exposure to AI/ML or LLM system engineering and data workflows Familiarity with Agile development frameworks and cloud native design patterns Experience visualizing data in Tableau RCT Systems offers: Competitive benefits package (medical, dental, vision, life insurance) Immediate 401k vesting Generous PTO and flexible schedules $500.00 annual technology allowance RCT Systems is committed and proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex (to include pregnancy and related conditions, sexual orientation, and gender identity), national origin, disability, veteran status, or any other federally protected class.
Job Description Local candidates only please. No sponsorship available at this time. Thank you! We are seeking a Lead Data & AI Engineer to design, build, and advance enterprise data and AI capabilities across a global organization. This role will play a key part in developing a modern, cloud-based data platform and implementing practical AI solutions that improve business intelligence, operational efficiency, and decision-making across the organization. The ideal candidate is a hands-on technical leader who can move between data architecture, engineering, analytics, and applied AI, translating business needs into scalable technical solutions. Key Responsibilities Data Engineering & Architecture: Design and build a modern, cloud-native enterprise data lake and data platform, integrating data from ERP, CRM, supply chain, financial, and other business systems. Data Pipelines & Integration: Develop scalable batch and real-time data pipelines, ETL/ELT processes, data models, and integrations across multiple enterprise data sources. AI & Machine Learning: Develop and implement AI/ML solutions, including predictive analytics, forecasting, anomaly detection, intelligent automation, and generative AI applications. Generative AI & AI Agents: Build and deploy LLM-powered applications, RAG solutions, conversational AI assistants, and intelligent agents that connect to enterprise data and automate business workflows. Business Intelligence & Analytics: Develop enterprise reporting, dashboards, semantic data models, and self-service analytics capabilities using tools such as Power BI, Tableau, or similar platforms. Data Governance & Quality: Establish data quality standards, metadata management, data lineage, master data practices, and appropriate security and access controls. Business Collaboration: Work directly with stakeholders across Finance, Sales, Marketing, Operations, Supply Chain, and other functions to identify opportunities and deliver data and AI solutions with measurable business value. Technical Leadership: Establish engineering standards and best practices, evaluate emerging technologies, and provide technical guidance across data engineering, analytics, and AI initiatives. Required Qualifications 8+ years of experience in data engineering, data architecture, analytics, AI/ML engineering, or a related discipline. Strong hands-on experience designing and building enterprise data platforms, data lakes, data warehouses, and scalable data pipelines. Experience with one or more major cloud platforms: Azure, AWS, or GCP. Strong SQL and Python development skills. Practical experience developing and deploying AI/ML solutions, including generative AI, LLMs, RAG, predictive modeling, and AI-powered automation. Experience with modern data and analytics technologies such as Snowflake, Databricks, Microsoft Fabric, BigQuery, Power BI, Tableau, or similar platforms. Experience integrating data from enterprise applications such as SAP, Microsoft Dynamics, Salesforce, and other ERP/CRM systems. Understanding of data governance, data quality, master data management, and enterprise data security. Ability to work directly with business stakeholders, understand operational challenges, and translate requirements into technical solutions.
11/11/2026
Full time
Job Description Local candidates only please. No sponsorship available at this time. Thank you! We are seeking a Lead Data & AI Engineer to design, build, and advance enterprise data and AI capabilities across a global organization. This role will play a key part in developing a modern, cloud-based data platform and implementing practical AI solutions that improve business intelligence, operational efficiency, and decision-making across the organization. The ideal candidate is a hands-on technical leader who can move between data architecture, engineering, analytics, and applied AI, translating business needs into scalable technical solutions. Key Responsibilities Data Engineering & Architecture: Design and build a modern, cloud-native enterprise data lake and data platform, integrating data from ERP, CRM, supply chain, financial, and other business systems. Data Pipelines & Integration: Develop scalable batch and real-time data pipelines, ETL/ELT processes, data models, and integrations across multiple enterprise data sources. AI & Machine Learning: Develop and implement AI/ML solutions, including predictive analytics, forecasting, anomaly detection, intelligent automation, and generative AI applications. Generative AI & AI Agents: Build and deploy LLM-powered applications, RAG solutions, conversational AI assistants, and intelligent agents that connect to enterprise data and automate business workflows. Business Intelligence & Analytics: Develop enterprise reporting, dashboards, semantic data models, and self-service analytics capabilities using tools such as Power BI, Tableau, or similar platforms. Data Governance & Quality: Establish data quality standards, metadata management, data lineage, master data practices, and appropriate security and access controls. Business Collaboration: Work directly with stakeholders across Finance, Sales, Marketing, Operations, Supply Chain, and other functions to identify opportunities and deliver data and AI solutions with measurable business value. Technical Leadership: Establish engineering standards and best practices, evaluate emerging technologies, and provide technical guidance across data engineering, analytics, and AI initiatives. Required Qualifications 8+ years of experience in data engineering, data architecture, analytics, AI/ML engineering, or a related discipline. Strong hands-on experience designing and building enterprise data platforms, data lakes, data warehouses, and scalable data pipelines. Experience with one or more major cloud platforms: Azure, AWS, or GCP. Strong SQL and Python development skills. Practical experience developing and deploying AI/ML solutions, including generative AI, LLMs, RAG, predictive modeling, and AI-powered automation. Experience with modern data and analytics technologies such as Snowflake, Databricks, Microsoft Fabric, BigQuery, Power BI, Tableau, or similar platforms. Experience integrating data from enterprise applications such as SAP, Microsoft Dynamics, Salesforce, and other ERP/CRM systems. Understanding of data governance, data quality, master data management, and enterprise data security. Ability to work directly with business stakeholders, understand operational challenges, and translate requirements into technical solutions.
Job Description Expertise in Salesforce technologies such as Salesforce Einstein, Apex, Lightning, and other Salesforce Cloud solutions. Deep understanding of machine learning, AI algorithms, and data science principles. Strong experience in cloud platforms (AWS, Azure, Google Cloud) and integration with Salesforce. Familiarity with AI development tools (TensorFlow, PyTorch, etc.) and data processing frameworks. Experience with data governance, security, and compliance in AI. Strong communication skills and the ability to translate complex technical concepts to business audiences. Lead a team of Salesforce professionals, including administrators, developers, business analysts, and consultants. Lead the design of Salesforce solutions that are scalable, maintainable, and aligned with business requirements. This includes data model design, security model design, and integration patterns. Create high-level technical architecture blueprints that integrate with existing systems and ensure the system meets functional and non-functional requirements. Act as the go-to person for technical decision-making, advising on the best tools, frameworks, and approaches to solve business problems. Design and architect AI solutions using Salesforce's native tools (like Einstein AI, Salesforce Data Cloud) or third-party AI technologies. Collaborate with business stakeholders to identify opportunities for AI integration, automation, and optimization. Create scalable and efficient AI models that improve customer engagement, decision-making, and business processes. Advise on best practices for incorporating AI capabilities into Salesforce CRM, Sales Cloud, Service Cloud, Marketing Cloud, Health Cloud, and other Salesforce products. Lead the integration of AI-driven solutions with Salesforce's CRM systems, including customizing Salesforce Einstein and other tools to support specific business needs. Ensure smooth data flow between Salesforce and AI platforms, managing both structured and unstructured data. Oversee the development of machine learning models for predictive analytics, natural language processing (NLP), recommendation systems, and automation tools. Supervise the training and testing of models to ensure accuracy, fairness, and compliance with ethical standards. Continuously monitor AI models' performance and make necessary adjustments or improvements. Stay up to date with Salesforce updates, new features, and emerging technologies. Advocate for the adoption of innovative Salesforce solutions that could benefit the organization.
11/11/2026
Full time
Job Description Expertise in Salesforce technologies such as Salesforce Einstein, Apex, Lightning, and other Salesforce Cloud solutions. Deep understanding of machine learning, AI algorithms, and data science principles. Strong experience in cloud platforms (AWS, Azure, Google Cloud) and integration with Salesforce. Familiarity with AI development tools (TensorFlow, PyTorch, etc.) and data processing frameworks. Experience with data governance, security, and compliance in AI. Strong communication skills and the ability to translate complex technical concepts to business audiences. Lead a team of Salesforce professionals, including administrators, developers, business analysts, and consultants. Lead the design of Salesforce solutions that are scalable, maintainable, and aligned with business requirements. This includes data model design, security model design, and integration patterns. Create high-level technical architecture blueprints that integrate with existing systems and ensure the system meets functional and non-functional requirements. Act as the go-to person for technical decision-making, advising on the best tools, frameworks, and approaches to solve business problems. Design and architect AI solutions using Salesforce's native tools (like Einstein AI, Salesforce Data Cloud) or third-party AI technologies. Collaborate with business stakeholders to identify opportunities for AI integration, automation, and optimization. Create scalable and efficient AI models that improve customer engagement, decision-making, and business processes. Advise on best practices for incorporating AI capabilities into Salesforce CRM, Sales Cloud, Service Cloud, Marketing Cloud, Health Cloud, and other Salesforce products. Lead the integration of AI-driven solutions with Salesforce's CRM systems, including customizing Salesforce Einstein and other tools to support specific business needs. Ensure smooth data flow between Salesforce and AI platforms, managing both structured and unstructured data. Oversee the development of machine learning models for predictive analytics, natural language processing (NLP), recommendation systems, and automation tools. Supervise the training and testing of models to ensure accuracy, fairness, and compliance with ethical standards. Continuously monitor AI models' performance and make necessary adjustments or improvements. Stay up to date with Salesforce updates, new features, and emerging technologies. Advocate for the adoption of innovative Salesforce solutions that could benefit the organization.
Job Description Role: Sr. Data Engineer Location: Seattle, WA (Remote is okay, but as per the client's policy, a monthly office visit is mandatory) Type: Contract to Hire Key Skills: AWS, MDM, Python, SQL, Reltio (not mandatory but it should be good to have) Responsibilities Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Working knowledge of modern data architectures and trends such as Data Mesh, Data Lakehouse, etc. Working knowledge of Master Data Management Reltio preferred Research, analyze, recommend and select technical approaches for solving exciting and sophisticated development and integration problems Build and maintain automated methods of orchestrating data flows and products while supervising data quality and the status of related infrastructure Implement additional project components (API interfaces) for accessibility Implement secure cloud data solutions which align to privacy and security controls Enable and support data and analytics capabilities and technologies, ensuring functional specifications meet or exceed established business and functional requirements, technical standards, quality Qualifications A passion for all things data; understanding how to work with it at scale, and more importantly, knowing how to get the most out of it Contribute to the overall data platform architecture and evolution Experience with data concepts (SQL, NoSQL, Normalization) and working with sophisticated data structures Experience with Infrastructure-as-code tools such as Cloud Formation and Terraform Experience in designing and implementing cloud data solutions using a broad range of AWS technologies (e.g. EC2, EMR, DMS, GLUE, S3, Lake Formation, Redshift, VPC, IAM, CloudWatch, SQS, Lambda, CloudTrail, Systems Manager, KMS, Kinesis Streams) Experience in MDM (Master Data Management) implementation involving platforms like Reltio, Informatica etc. Proficiency in one or more of the following scripting languages; SQL, Python, Scala, C#, or Go Solid understanding of scripting languages such as bash or PowerShell Track record of successfully building scalable Data Lake solutions that connects to distributed data storage using multiple data connectors Must have a background in data engineering - Data Warehouse, ETL/ELT and BI experience Serve as an authority; envision and integrate emerging data technologies, anticipate new trends to tackle sophisticated business and technical problems Working experience with various stream analytics technologies Familiarity with modern engineering practices, including agile development, CI/CD and devops
11/11/2026
Full time
Job Description Role: Sr. Data Engineer Location: Seattle, WA (Remote is okay, but as per the client's policy, a monthly office visit is mandatory) Type: Contract to Hire Key Skills: AWS, MDM, Python, SQL, Reltio (not mandatory but it should be good to have) Responsibilities Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Working knowledge of modern data architectures and trends such as Data Mesh, Data Lakehouse, etc. Working knowledge of Master Data Management Reltio preferred Research, analyze, recommend and select technical approaches for solving exciting and sophisticated development and integration problems Build and maintain automated methods of orchestrating data flows and products while supervising data quality and the status of related infrastructure Implement additional project components (API interfaces) for accessibility Implement secure cloud data solutions which align to privacy and security controls Enable and support data and analytics capabilities and technologies, ensuring functional specifications meet or exceed established business and functional requirements, technical standards, quality Qualifications A passion for all things data; understanding how to work with it at scale, and more importantly, knowing how to get the most out of it Contribute to the overall data platform architecture and evolution Experience with data concepts (SQL, NoSQL, Normalization) and working with sophisticated data structures Experience with Infrastructure-as-code tools such as Cloud Formation and Terraform Experience in designing and implementing cloud data solutions using a broad range of AWS technologies (e.g. EC2, EMR, DMS, GLUE, S3, Lake Formation, Redshift, VPC, IAM, CloudWatch, SQS, Lambda, CloudTrail, Systems Manager, KMS, Kinesis Streams) Experience in MDM (Master Data Management) implementation involving platforms like Reltio, Informatica etc. Proficiency in one or more of the following scripting languages; SQL, Python, Scala, C#, or Go Solid understanding of scripting languages such as bash or PowerShell Track record of successfully building scalable Data Lake solutions that connects to distributed data storage using multiple data connectors Must have a background in data engineering - Data Warehouse, ETL/ELT and BI experience Serve as an authority; envision and integrate emerging data technologies, anticipate new trends to tackle sophisticated business and technical problems Working experience with various stream analytics technologies Familiarity with modern engineering practices, including agile development, CI/CD and devops
Job Description Since 1958, DARPA has made pivotal investments in breakthrough technologies for national security. As the world changes dramatically - and even the pace of change itself increases - the agency seeks to engage the best minds and best ideas across specialties, communities, and disciplines to solve the greatest national security challenges on the horizon. DARPA brings together scientists, engineers, and tinkerers across the innovation ecosystem to push the bounds of technological possibility. The work we do is challenging by nature, but working with DARPA doesn't have to be. To make it happen, DARPA's program managers need highly skilled support contractors, broadly referred to as SETAs (Scientific Engineering and Technical Assistance) within DARPA. Often spanning programs, portfolios, and even offices in their impact, the SETAs help program managers chart and navigate the path toward groundbreaking discoveries. For the fortunate few who become part of the DARPA legacy, a time bound journey with the organization represents a unique and singular opportunity to alter the future. At DARPA, every day is a chance to make history. A chance to explore, discover, and invent. A chance to collaborate with pioneers in science and engineering contributing to an enduring mission. The Data Architect must have 8 years of demonstrated experience in data architecture, data engineering, or enterprise systems design. Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.Experience working in defense, intelligence, or other high-security environments. Strong knowledge of database systems (SQL/NoSQL), data warehousing, and distributed data platforms. Familiarity with cloud platforms (AWS GovCloud, Azure Government, etc.). Knowledge of data governance, data modeling, and architecture frameworks (e.g., TOGAF, DoDAF). Ability to build and maintain DevSecOps CI/CD build pipelines. Active Top Secret clearance is required. Responsibilities will include, but are not limited to the following: Design and implement enterprise-level data architecture frameworks across defense systems and platforms Develop data models, standards, and governance policies to ensure consistency, quality, and integrity Integrate data from multiple classified and unclassified sources to support operational readiness and analysis Collaborate with cybersecurity teams to ensure compliance with security protocols and data protection regulations Support advanced analytics, AI/ML initiatives, and real-time data processing for research and strategic applications Establish metadata management, data lineage, and master data management practices Optimize data storage, retrieval, and processing for high-performance environments Lead data architecture reviews and provide technical guidance to engineering and analytics teams Ensure compliance with federal standards (e.g., DoD data strategy, security frameworks, interoperability requirements) Experience with big data technologies (Hadoop, Spark, Karka) Preferred Qualifications Background in AI/ML data pipelines and analytics infrastructure Familiarity with geospatial, signals, or intelligence data systems Certification in cloud architecture or data management (e.g., AWS Certified Solutions Architect, DAMA-CDMP) Experience with high-performance computing (HPC) Experience with Infrastructure as-Code practices Proficiency in SPARQL query language Strong familiarity with implementation techniques used in broad array of package managers (npm, pip, etc.) Familiarity with applying library science principles such as data catalog curation, reference interview, and Functional Requirements for Biblographic Records (FRBR) Strong operational knowledge of the architecture (not practice) of the World Wide Web and its semiological distinction between resources and their representations. Experience in applying Basic Formal Ontology (BFO) concepts within and among existing semi-mutable infrastructure to achieve quantified value add Active TS/SCI clearance.
11/11/2026
Full time
Job Description Since 1958, DARPA has made pivotal investments in breakthrough technologies for national security. As the world changes dramatically - and even the pace of change itself increases - the agency seeks to engage the best minds and best ideas across specialties, communities, and disciplines to solve the greatest national security challenges on the horizon. DARPA brings together scientists, engineers, and tinkerers across the innovation ecosystem to push the bounds of technological possibility. The work we do is challenging by nature, but working with DARPA doesn't have to be. To make it happen, DARPA's program managers need highly skilled support contractors, broadly referred to as SETAs (Scientific Engineering and Technical Assistance) within DARPA. Often spanning programs, portfolios, and even offices in their impact, the SETAs help program managers chart and navigate the path toward groundbreaking discoveries. For the fortunate few who become part of the DARPA legacy, a time bound journey with the organization represents a unique and singular opportunity to alter the future. At DARPA, every day is a chance to make history. A chance to explore, discover, and invent. A chance to collaborate with pioneers in science and engineering contributing to an enduring mission. The Data Architect must have 8 years of demonstrated experience in data architecture, data engineering, or enterprise systems design. Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.Experience working in defense, intelligence, or other high-security environments. Strong knowledge of database systems (SQL/NoSQL), data warehousing, and distributed data platforms. Familiarity with cloud platforms (AWS GovCloud, Azure Government, etc.). Knowledge of data governance, data modeling, and architecture frameworks (e.g., TOGAF, DoDAF). Ability to build and maintain DevSecOps CI/CD build pipelines. Active Top Secret clearance is required. Responsibilities will include, but are not limited to the following: Design and implement enterprise-level data architecture frameworks across defense systems and platforms Develop data models, standards, and governance policies to ensure consistency, quality, and integrity Integrate data from multiple classified and unclassified sources to support operational readiness and analysis Collaborate with cybersecurity teams to ensure compliance with security protocols and data protection regulations Support advanced analytics, AI/ML initiatives, and real-time data processing for research and strategic applications Establish metadata management, data lineage, and master data management practices Optimize data storage, retrieval, and processing for high-performance environments Lead data architecture reviews and provide technical guidance to engineering and analytics teams Ensure compliance with federal standards (e.g., DoD data strategy, security frameworks, interoperability requirements) Experience with big data technologies (Hadoop, Spark, Karka) Preferred Qualifications Background in AI/ML data pipelines and analytics infrastructure Familiarity with geospatial, signals, or intelligence data systems Certification in cloud architecture or data management (e.g., AWS Certified Solutions Architect, DAMA-CDMP) Experience with high-performance computing (HPC) Experience with Infrastructure as-Code practices Proficiency in SPARQL query language Strong familiarity with implementation techniques used in broad array of package managers (npm, pip, etc.) Familiarity with applying library science principles such as data catalog curation, reference interview, and Functional Requirements for Biblographic Records (FRBR) Strong operational knowledge of the architecture (not practice) of the World Wide Web and its semiological distinction between resources and their representations. Experience in applying Basic Formal Ontology (BFO) concepts within and among existing semi-mutable infrastructure to achieve quantified value add Active TS/SCI clearance.
Job Description Application deadline: Nov 6, 2026 This position requires that the candidate selected be a US Citizen. The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS- 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 5+ years of cloud architecture and solution implementation experience PREFERRED QUALIFICATIONS- degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit -we- hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at USA, CO, Denver - 153 800.00 USD annually USA, TX, Dallas - 153 800.00 USD annually USA, VA, Arlington - 153 800.00 USD annually USA, VA, Herndon - 153 800.00 USD annually
11/11/2026
Full time
Job Description Application deadline: Nov 6, 2026 This position requires that the candidate selected be a US Citizen. The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS- 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 5+ years of cloud architecture and solution implementation experience PREFERRED QUALIFICATIONS- degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit -we- hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at USA, CO, Denver - 153 800.00 USD annually USA, TX, Dallas - 153 800.00 USD annually USA, VA, Arlington - 153 800.00 USD annually USA, VA, Herndon - 153 800.00 USD annually
Job Description Duration: Direct Hire Compensation: $250k - $305k base salary + bonus + equity Location: Remote w/ monthly travel We are seeking an experienced VP of Platform Engineering to lead enterprise architecture, cloud infrastructure, security, and technology operations for a growing financial technology organization. This executive will drive platform modernization, AI-powered automation, scalability, security, and reliability while leading high-performing engineering and operations teams. Responsibilities: Lead CloudOps, SecOps, SRE, network, database, and IT operations. Define and execute enterprise architecture and cloud strategies. Drive AI-powered automation and agentic AI adoption. Oversee cloud infrastructure across AWS, Azure, and GCP. Ensure platform scalability, reliability, security, and performance. Implement AI governance, security controls, and compliance standards. Lead cloud modernization, DevOps, and Infrastructure-as-Code initiatives. Optimize infrastructure costs, AI workloads, and resource utilization. Oversee incident management, disaster recovery, and operational resilience. Manage technology budgets, strategic initiatives, and engineering teams. Partner with executive leadership on technology strategy and innovation. Requirements: 15+ years in platform engineering, cloud, infrastructure, or IT operations. 8+ years of senior technology leadership experience. Strong experience with cloud-native architecture (AWS, Azure, GCP). Experience leading infrastructure, SRE, SecOps, and IT operations teams. Knowledge of AI/ML infrastructure, agentic AI, and LLMOps. Experience with Kubernetes, DevOps, CI/CD, and Infrastructure-as-Code. Strong understanding of enterprise security, governance, and compliance. Experience driving cloud modernization, automation, and operational efficiency. Proven ability to lead teams, manage budgets, and execute technology strategy. Preferred Requirements Experience in fintech, payments, or regulated industries. Familiarity with AI orchestration tools such as LangGraph, CrewAI, or AutoGen. Knowledge of SOC 2, PCI-DSS, NIST AI RMF, and AI security frameworks. Experience with AI-driven operations, observability, and automated remediation.
11/11/2026
Full time
Job Description Duration: Direct Hire Compensation: $250k - $305k base salary + bonus + equity Location: Remote w/ monthly travel We are seeking an experienced VP of Platform Engineering to lead enterprise architecture, cloud infrastructure, security, and technology operations for a growing financial technology organization. This executive will drive platform modernization, AI-powered automation, scalability, security, and reliability while leading high-performing engineering and operations teams. Responsibilities: Lead CloudOps, SecOps, SRE, network, database, and IT operations. Define and execute enterprise architecture and cloud strategies. Drive AI-powered automation and agentic AI adoption. Oversee cloud infrastructure across AWS, Azure, and GCP. Ensure platform scalability, reliability, security, and performance. Implement AI governance, security controls, and compliance standards. Lead cloud modernization, DevOps, and Infrastructure-as-Code initiatives. Optimize infrastructure costs, AI workloads, and resource utilization. Oversee incident management, disaster recovery, and operational resilience. Manage technology budgets, strategic initiatives, and engineering teams. Partner with executive leadership on technology strategy and innovation. Requirements: 15+ years in platform engineering, cloud, infrastructure, or IT operations. 8+ years of senior technology leadership experience. Strong experience with cloud-native architecture (AWS, Azure, GCP). Experience leading infrastructure, SRE, SecOps, and IT operations teams. Knowledge of AI/ML infrastructure, agentic AI, and LLMOps. Experience with Kubernetes, DevOps, CI/CD, and Infrastructure-as-Code. Strong understanding of enterprise security, governance, and compliance. Experience driving cloud modernization, automation, and operational efficiency. Proven ability to lead teams, manage budgets, and execute technology strategy. Preferred Requirements Experience in fintech, payments, or regulated industries. Familiarity with AI orchestration tools such as LangGraph, CrewAI, or AutoGen. Knowledge of SOC 2, PCI-DSS, NIST AI RMF, and AI security frameworks. Experience with AI-driven operations, observability, and automated remediation.
Job Description About the Company Our client is looking for a hands-on engineering leader to guide the modernization of legacy applications into AI-ready enterprise platforms. This role blends team leadership with active technical work: you will manage a small group of engineers, shape platform architecture, and turn the organization's AI strategy into a practical roadmap that delivers scalable, reliable systems. Responsibilities Lead and develop a full-stack team of employees and contractors, setting engineering standards, practices, and priorities Own application architecture and technology choices, lead design and code reviews, and work through complex technical problems Mentor developers through hands-on example, building prototypes and proofs of concept that establish patterns for the team to scale Work with business analysts to deliver secure, maintainable, production-ready solutions Translate enterprise AI strategy into platform roadmaps, and define the AI/ML and agentic operations approach, including tooling and standards Collaborate with data, security, and infrastructure teams on end-to-end AI architecture covering compute, model lifecycle, and deployment Lead build-vs.-buy decisions, platform and tool evaluations, and cost/performance tradeoffs Design and scale cloud infrastructure on Azure and Snowflake, balancing near-term needs with long-term growth Experience Bachelor's degree in computer science, software engineering, IT, or a related field, or equivalent experience 5+ years of software development and architecture experience on production applications Track record of leading, mentoring, and setting technical direction for engineering teams, including across distributed groups Strong skills in Python, React, TypeScript, C#, .NET/ASP.NET Core, REST APIs, and SQL and/or PostgreSQL Solid grasp of architecture, security, CI/CD, scalability, and observability Knowledge of AI/ML ecosystems and of designing MLOps and AIOps frameworks at enterprise scale Comfort working through ambiguity and presenting technical ideas clearly to senior and executive (VP/SVP) audiences MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage, or any other protected classification, in accordance with applicable federal, state, and local laws.
11/11/2026
Full time
Job Description About the Company Our client is looking for a hands-on engineering leader to guide the modernization of legacy applications into AI-ready enterprise platforms. This role blends team leadership with active technical work: you will manage a small group of engineers, shape platform architecture, and turn the organization's AI strategy into a practical roadmap that delivers scalable, reliable systems. Responsibilities Lead and develop a full-stack team of employees and contractors, setting engineering standards, practices, and priorities Own application architecture and technology choices, lead design and code reviews, and work through complex technical problems Mentor developers through hands-on example, building prototypes and proofs of concept that establish patterns for the team to scale Work with business analysts to deliver secure, maintainable, production-ready solutions Translate enterprise AI strategy into platform roadmaps, and define the AI/ML and agentic operations approach, including tooling and standards Collaborate with data, security, and infrastructure teams on end-to-end AI architecture covering compute, model lifecycle, and deployment Lead build-vs.-buy decisions, platform and tool evaluations, and cost/performance tradeoffs Design and scale cloud infrastructure on Azure and Snowflake, balancing near-term needs with long-term growth Experience Bachelor's degree in computer science, software engineering, IT, or a related field, or equivalent experience 5+ years of software development and architecture experience on production applications Track record of leading, mentoring, and setting technical direction for engineering teams, including across distributed groups Strong skills in Python, React, TypeScript, C#, .NET/ASP.NET Core, REST APIs, and SQL and/or PostgreSQL Solid grasp of architecture, security, CI/CD, scalability, and observability Knowledge of AI/ML ecosystems and of designing MLOps and AIOps frameworks at enterprise scale Comfort working through ambiguity and presenting technical ideas clearly to senior and executive (VP/SVP) audiences MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage, or any other protected classification, in accordance with applicable federal, state, and local laws.
Job Description Senior Systems & Network Engineer is a highly skilled Tier 3 Technician to serve as the top escalation point for our helpdesk and NOC teams. This is an onsite position and requires the employee to work from our Boise, Idaho location. This role is for a deep technical expert who thrives on solving complex, ambiguous problems that Tier 1 and Tier 2 staff cannot resolve. You will own the hardest tickets, drive root cause analysis, and play a key role in mentoring junior staff and improving our technical processes. Key Responsibilities Serve as the final escalation point for complex infrastructure, networking, and systems issues Perform root cause analysis and document findings to reduce repeat incidents Design, implement, and support advanced solutions across networking, server, and cloud environments Lead troubleshooting of enterprise-level issues involving multi-vendor environments Collaborate with vendors and third parties on escalated cases and hardware/software issues Contribute to internal knowledge base articles, runbooks, and technical documentation Mentor Tier 1 and Tier 2 technicians through knowledge transfer and hands-on coaching Participate in architecture and engineering discussions for new client deployments or infrastructure changes Support change management processes and assist with after-hours maintenance windows as needed Required Qualifications 5+ years of hands-on experience in IT infrastructure support or systems/network engineering Advanced troubleshooting skills across the following: Networking: Firewalls (Fortinet, Cisco, Palo Alto, SonicWall), switching, routing, VPNs, VLANs, Wi-Fi Windows Server: Active Directory, Group Policy, DNS, DHCP, DFS, RDS Virtualization: VMware vSphere/ESXi or Microsoft Hyper-V Microsoft 365: Exchange Online, Teams, SharePoint, Intune, Conditional Access Experience with backup and disaster recovery solutions (Veeam, Datto, Acronis, or similar) Strong diagnostic and analytical skills with the ability to work independently on complex problems Excellent written communication for documentation and ticket notes Preferred Qualifications CCNP, MCSE, VCP, or equivalent advanced certifications Experience in an MSP or multi-client support environment Exposure to Azure or AWS (IaaS/PaaS administration, not just SaaS) Scripting/automation experience (PowerShell strongly preferred) Familiarity with SIEM tools, endpoint security, and basic cybersecurity concepts Experience with RMM tools (ConnectWise Automate, NinjaRMM, Kaseya, etc.) Experience leveraging AI tools in a technical context - prompt engineering, AI-assisted troubleshooting, automation with LLM APIs, or deploying/managing local AI models Active homelab practice - candidates who self-host, test new technologies, and experiment outside of work hours bring a level of curiosity and depth that translates directly to this role Other Requirements: Physical demands include sits, squats, bends, lifts and moves during working hours. Responsibilities may change from time to time. Allied Business Solutions reserves the right to add or delete duties and responsibilities at the discretion of ABS and its executives. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive.
11/11/2026
Full time
Job Description Senior Systems & Network Engineer is a highly skilled Tier 3 Technician to serve as the top escalation point for our helpdesk and NOC teams. This is an onsite position and requires the employee to work from our Boise, Idaho location. This role is for a deep technical expert who thrives on solving complex, ambiguous problems that Tier 1 and Tier 2 staff cannot resolve. You will own the hardest tickets, drive root cause analysis, and play a key role in mentoring junior staff and improving our technical processes. Key Responsibilities Serve as the final escalation point for complex infrastructure, networking, and systems issues Perform root cause analysis and document findings to reduce repeat incidents Design, implement, and support advanced solutions across networking, server, and cloud environments Lead troubleshooting of enterprise-level issues involving multi-vendor environments Collaborate with vendors and third parties on escalated cases and hardware/software issues Contribute to internal knowledge base articles, runbooks, and technical documentation Mentor Tier 1 and Tier 2 technicians through knowledge transfer and hands-on coaching Participate in architecture and engineering discussions for new client deployments or infrastructure changes Support change management processes and assist with after-hours maintenance windows as needed Required Qualifications 5+ years of hands-on experience in IT infrastructure support or systems/network engineering Advanced troubleshooting skills across the following: Networking: Firewalls (Fortinet, Cisco, Palo Alto, SonicWall), switching, routing, VPNs, VLANs, Wi-Fi Windows Server: Active Directory, Group Policy, DNS, DHCP, DFS, RDS Virtualization: VMware vSphere/ESXi or Microsoft Hyper-V Microsoft 365: Exchange Online, Teams, SharePoint, Intune, Conditional Access Experience with backup and disaster recovery solutions (Veeam, Datto, Acronis, or similar) Strong diagnostic and analytical skills with the ability to work independently on complex problems Excellent written communication for documentation and ticket notes Preferred Qualifications CCNP, MCSE, VCP, or equivalent advanced certifications Experience in an MSP or multi-client support environment Exposure to Azure or AWS (IaaS/PaaS administration, not just SaaS) Scripting/automation experience (PowerShell strongly preferred) Familiarity with SIEM tools, endpoint security, and basic cybersecurity concepts Experience with RMM tools (ConnectWise Automate, NinjaRMM, Kaseya, etc.) Experience leveraging AI tools in a technical context - prompt engineering, AI-assisted troubleshooting, automation with LLM APIs, or deploying/managing local AI models Active homelab practice - candidates who self-host, test new technologies, and experiment outside of work hours bring a level of curiosity and depth that translates directly to this role Other Requirements: Physical demands include sits, squats, bends, lifts and moves during working hours. Responsibilities may change from time to time. Allied Business Solutions reserves the right to add or delete duties and responsibilities at the discretion of ABS and its executives. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive.
Job Description Job Description Position Title .NET Developer Position Summary NEED TO BE A US CITIZEN TO APPLY FOR THIS JOB The .NET Developer will design, develop, enhance, and maintain secure, scalable, and high-performing applications using the Microsoft .NET framework. This role supports the full software development lifecycle, including requirements analysis, solution design, coding, testing, troubleshooting, deployment support, and ongoing application maintenance. The developer will collaborate with technical and functional stakeholders to deliver reliable software solutions that align with business needs, coding standards, security requirements, and operational expectations. Key Responsibilities Develop, enhance, and maintain back-end application code using .NET, ASP.NET Core, C#, Entity Framework, and related Microsoft development technologies. Design and implement application components, APIs, services, data access layers, and integrations that support business and technical requirements. Write clean, reusable, efficient, and well-documented code that follows established development standards, secure coding practices, and source-control procedures. Collaborate with business analysts, project managers, testers, architects, and other developers to define requirements, estimate work, resolve issues, and deliver quality software releases. Troubleshoot, debug, test, and resolve application defects using tools such as Visual Studio, logging frameworks, debugging utilities, and cloud-based monitoring capabilities. Support application deployment, configuration, maintenance, and performance tuning across development, testing, staging, and production environments. Participate in code reviews, peer reviews, unit testing, documentation updates, and continuous improvement activities to strengthen application quality and maintainability. Assist with cloud-hosted application development and modernization efforts, including solutions hosted in AWS environments when applicable. Required Qualifications Minimum of 3 years of experience developing and maintaining applications using .NET technologies. Hands-on experience with C#, ASP.NET Core, .NET Framework or .NET Core, Entity Framework, RESTful APIs, and object-oriented programming concepts. Experience writing, testing, debugging, and maintaining scalable application code in an enterprise development environment. Experience using Visual Studio and source-control tools such as Git, Azure DevOps, Team Foundation Server, or similar platforms. Working knowledge of relational databases, SQL queries, stored procedures, data modeling concepts, and application data access patterns. Ability to analyze business requirements, translate them into technical solutions, and communicate effectively with technical and non-technical stakeholders. Familiarity with application troubleshooting, defect resolution, unit testing, system integration testing, and production support practices. Understanding of secure application development practices, including authentication, authorization, input validation, error handling, and protection of sensitive data. Minimum Education Bachelor's degree in Information Technology, Computer Science, Software Engineering, Information Systems, or a related field from an accredited institution is preferred. Equivalent professional experience, technical training, or relevant certifications may be considered in lieu of a degree. Minimum Experience At least 3 years of professional experience in .NET application development, including experience supporting development, testing, troubleshooting, and maintenance activities in a team-based environment. Required Certifications Certifications are preferred but not required. Relevant certifications may include AWS certifications, CompTIA Security+, Microsoft Certified: Azure Developer Associate, Microsoft Certified: Azure Fundamentals, or other software development, cloud, or security-related credentials. Preferred Qualifications Experience developing, deploying, or supporting applications in AWS cloud environments. Experience with CI/CD pipelines, build and release processes, automated testing, and DevOps practices. Familiarity with Agile development methodologies, sprint planning, backlog refinement, user stories, and iterative delivery. Experience modernizing legacy applications, refactoring code, improving performance, or migrating applications to cloud or modern .NET platforms. Knowledge of web application security, identity and access management, API security, and secure software development lifecycle practices. Strong analytical, problem-solving, communication, and documentation skills.
11/11/2026
Full time
Job Description Job Description Position Title .NET Developer Position Summary NEED TO BE A US CITIZEN TO APPLY FOR THIS JOB The .NET Developer will design, develop, enhance, and maintain secure, scalable, and high-performing applications using the Microsoft .NET framework. This role supports the full software development lifecycle, including requirements analysis, solution design, coding, testing, troubleshooting, deployment support, and ongoing application maintenance. The developer will collaborate with technical and functional stakeholders to deliver reliable software solutions that align with business needs, coding standards, security requirements, and operational expectations. Key Responsibilities Develop, enhance, and maintain back-end application code using .NET, ASP.NET Core, C#, Entity Framework, and related Microsoft development technologies. Design and implement application components, APIs, services, data access layers, and integrations that support business and technical requirements. Write clean, reusable, efficient, and well-documented code that follows established development standards, secure coding practices, and source-control procedures. Collaborate with business analysts, project managers, testers, architects, and other developers to define requirements, estimate work, resolve issues, and deliver quality software releases. Troubleshoot, debug, test, and resolve application defects using tools such as Visual Studio, logging frameworks, debugging utilities, and cloud-based monitoring capabilities. Support application deployment, configuration, maintenance, and performance tuning across development, testing, staging, and production environments. Participate in code reviews, peer reviews, unit testing, documentation updates, and continuous improvement activities to strengthen application quality and maintainability. Assist with cloud-hosted application development and modernization efforts, including solutions hosted in AWS environments when applicable. Required Qualifications Minimum of 3 years of experience developing and maintaining applications using .NET technologies. Hands-on experience with C#, ASP.NET Core, .NET Framework or .NET Core, Entity Framework, RESTful APIs, and object-oriented programming concepts. Experience writing, testing, debugging, and maintaining scalable application code in an enterprise development environment. Experience using Visual Studio and source-control tools such as Git, Azure DevOps, Team Foundation Server, or similar platforms. Working knowledge of relational databases, SQL queries, stored procedures, data modeling concepts, and application data access patterns. Ability to analyze business requirements, translate them into technical solutions, and communicate effectively with technical and non-technical stakeholders. Familiarity with application troubleshooting, defect resolution, unit testing, system integration testing, and production support practices. Understanding of secure application development practices, including authentication, authorization, input validation, error handling, and protection of sensitive data. Minimum Education Bachelor's degree in Information Technology, Computer Science, Software Engineering, Information Systems, or a related field from an accredited institution is preferred. Equivalent professional experience, technical training, or relevant certifications may be considered in lieu of a degree. Minimum Experience At least 3 years of professional experience in .NET application development, including experience supporting development, testing, troubleshooting, and maintenance activities in a team-based environment. Required Certifications Certifications are preferred but not required. Relevant certifications may include AWS certifications, CompTIA Security+, Microsoft Certified: Azure Developer Associate, Microsoft Certified: Azure Fundamentals, or other software development, cloud, or security-related credentials. Preferred Qualifications Experience developing, deploying, or supporting applications in AWS cloud environments. Experience with CI/CD pipelines, build and release processes, automated testing, and DevOps practices. Familiarity with Agile development methodologies, sprint planning, backlog refinement, user stories, and iterative delivery. Experience modernizing legacy applications, refactoring code, improving performance, or migrating applications to cloud or modern .NET platforms. Knowledge of web application security, identity and access management, API security, and secure software development lifecycle practices. Strong analytical, problem-solving, communication, and documentation skills.
Job Description Job Description Job Title: Public Cloud Security Architect Location: New York City, NY Type: Contract -Onsite Responsibilities: Lead architecture and implementation of Palo Alto Strata Cloud Manager (SCM) Design secure cloud network architectures across AWS/Azure/GCP Define standards, best practices, and security frameworks Oversee integration of Palo Alto services into enterprise cloud environments Provide technical leadership and guidance to engineering teams Collaborate with stakeholders to align security architecture with business goals Requirements: Strong experience with Palo Alto Networks (SCM implementation required) Proven experience in cloud security architecture (AWS/Azure/GCP) Deep understanding of network security, firewalls, and cloud integrations Experience leading design and architecture decisions Excellent stakeholder communication and leadership skills Minimum experience: 10 years System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
11/11/2026
Full time
Job Description Job Description Job Title: Public Cloud Security Architect Location: New York City, NY Type: Contract -Onsite Responsibilities: Lead architecture and implementation of Palo Alto Strata Cloud Manager (SCM) Design secure cloud network architectures across AWS/Azure/GCP Define standards, best practices, and security frameworks Oversee integration of Palo Alto services into enterprise cloud environments Provide technical leadership and guidance to engineering teams Collaborate with stakeholders to align security architecture with business goals Requirements: Strong experience with Palo Alto Networks (SCM implementation required) Proven experience in cloud security architecture (AWS/Azure/GCP) Deep understanding of network security, firewalls, and cloud integrations Experience leading design and architecture decisions Excellent stakeholder communication and leadership skills Minimum experience: 10 years System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Job Description Job Description Times Square - onsite 4x/week Salary- $120-150,000 + bonus One of our clients is needing a Network Architect to join their team. You'll focus on deploying IPv6, enhancing security, delivering training on best practices, and providing architectural guidance to enrich both the networks and their teams. Key Responsibilities: Network Auditing and Planning Assess customer networks to identify opportunities, such as IPv4 addresses they could monetize. Develop and execute plans for IPv4 renumbering and IPv6 deployment. Recommend security enhancements and industry best practices. Training and Education Train non-technical and technical audiences on IPv4, IPv6, DNS, BGP, RPKI, RBLs, geolocation, and related topics. Effectively communicate complex technical concepts in a clear and engaging way. Architectural Guidance Provide technical advice on network architecture, including BGP, RPKI, and other concerns related to IPv4 transactions. Review and validate the technical accuracy of marketing and educational content. Demonstrate tools, such as ReView, to potential clients and partners. Qualifications: Network Expertise: In-depth understanding of IPv4 and IPv6, including addressing, security challenges, and deployment strategies. Hands-on experience with routing protocols (BGP, OSPF), routing policy (IRRs), and routing security (RPKI). Diverse Network Experience: Familiarity with ISP, enterprise IT, data center, and cloud environments, and an understanding of their unique challenges and priorities. Technical Communication: Excellent written and verbal communication skills to create proposals, deliver training, and document networks effectively. Security Knowledge: Strong grasp of security best practices, including ACLs, firewalls, IPS, 802.1x, AAA, and defense-in-depth strategies. Additional Skills (Preferred): Experience with network automation tools (e.g., Python, Go, Ansible). Consulting background with a track record of managing client expectations and delivering results. The network architect has three areas of responsibility: Audit a variety of networks and plan IPv4 renumbering, IPv6 deployment, and recommend security and other best practices. Train and explain technical topics to non-technical people, including staff and potential clients. Provide architectural guidance on potential products and services. Benefits: Medical, Dental, Vision, 401K Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.
11/11/2026
Full time
Job Description Job Description Times Square - onsite 4x/week Salary- $120-150,000 + bonus One of our clients is needing a Network Architect to join their team. You'll focus on deploying IPv6, enhancing security, delivering training on best practices, and providing architectural guidance to enrich both the networks and their teams. Key Responsibilities: Network Auditing and Planning Assess customer networks to identify opportunities, such as IPv4 addresses they could monetize. Develop and execute plans for IPv4 renumbering and IPv6 deployment. Recommend security enhancements and industry best practices. Training and Education Train non-technical and technical audiences on IPv4, IPv6, DNS, BGP, RPKI, RBLs, geolocation, and related topics. Effectively communicate complex technical concepts in a clear and engaging way. Architectural Guidance Provide technical advice on network architecture, including BGP, RPKI, and other concerns related to IPv4 transactions. Review and validate the technical accuracy of marketing and educational content. Demonstrate tools, such as ReView, to potential clients and partners. Qualifications: Network Expertise: In-depth understanding of IPv4 and IPv6, including addressing, security challenges, and deployment strategies. Hands-on experience with routing protocols (BGP, OSPF), routing policy (IRRs), and routing security (RPKI). Diverse Network Experience: Familiarity with ISP, enterprise IT, data center, and cloud environments, and an understanding of their unique challenges and priorities. Technical Communication: Excellent written and verbal communication skills to create proposals, deliver training, and document networks effectively. Security Knowledge: Strong grasp of security best practices, including ACLs, firewalls, IPS, 802.1x, AAA, and defense-in-depth strategies. Additional Skills (Preferred): Experience with network automation tools (e.g., Python, Go, Ansible). Consulting background with a track record of managing client expectations and delivering results. The network architect has three areas of responsibility: Audit a variety of networks and plan IPv4 renumbering, IPv6 deployment, and recommend security and other best practices. Train and explain technical topics to non-technical people, including staff and potential clients. Provide architectural guidance on potential products and services. Benefits: Medical, Dental, Vision, 401K Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
11/11/2026
Full time
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Job Description Job Description Job Title: Senior Application Architect - AI Agentic, Integration & Architecture COE Location: New York, NY (Hybrid - 3 days onsite and 2 days remote per week) Duration: 12 Months / CONTRACT NO BENEFITS Working Hours: 37.5 hours per week Position Level: Senior Level Certifications: Cloud certification and other relevant certifications preferred. Position Summary We are seeking a highly experienced Senior Application Architect with deep expertise in agentic AI architecture, enterprise integration, and application architecture standards. This is a hands-on senior-level role responsible for designing AI-enabled and agent-based solutions, defining enterprise integration patterns, establishing application architecture standards, and contributing to the development of an Architecture Center of Excellence (COE). The ideal candidate will have extensive experience designing enterprise-scale solutions across Microsoft Azure, AWS, and hybrid cloud environments. The role requires strong technical leadership, a solid understanding of AI/LLM architectures, and the ability to establish secure, scalable, and reusable architectural patterns across the enterprise. Key Responsibilities 1. AI Agentic Architecture Design reference architectures for agentic AI solutions, including multi-agent orchestration, tool calling, Retrieval-Augmented Generation (RAG), and human-in-the-loop controls. Define secure architectural patterns for integrating AI agents with enterprise systems, APIs, and services, including Model Context Protocol (MCP) and event-driven triggers. Establish governance guardrails for agent identity, access management, auditability, observability, evaluation, and cost optimization. Ensure AI-enabled solutions meet enterprise security, scalability, reliability, and governance requirements. Develop reusable architectural frameworks and best practices for enterprise AI adoption. 2. Enterprise Integration Architecture Design and govern API-led, event-driven, and messaging-based integration architectures. Define API lifecycle management strategies, API gateway standards, and enterprise integration patterns. Establish integration approaches for legacy applications, SaaS platforms, and cloud-native systems. Ensure integration architectures support interoperability, scalability, security, and maintainability. Promote reusable integration components and standardized architectural practices across enterprise applications. 3. Architecture Standards and Center of Excellence (COE) Develop, publish, and maintain application, integration, API, and AI architecture standards. Create reference architectures, technical guidelines, reusable design patterns, and implementation playbooks. Help establish and operate an Architecture Center of Excellence, including its charter, governance forums, design reviews, training programs, and operational processes. Define architecture governance processes to ensure consistency, compliance, and alignment with enterprise technology strategy. Establish metrics to measure architecture standards adoption and COE effectiveness in coordination with AI and IT adoption tracking initiatives. Provide architectural guidance and support to development teams to encourage adherence to established standards. 4. Application Modernization, Security, and Collaboration Guide application modernization initiatives and cloud architecture design across Azure, AWS, and hybrid environments. Ensure architectural designs align with applicable security frameworks and organizational requirements, including NIST, the NIST AI Risk Management Framework (AI RMF), CIS, ISO 27001, and relevant transportation-sector security requirements. Collaborate with product management, software engineering, DevOps, and Cybersecurity teams to deliver secure and scalable enterprise solutions. Evaluate emerging technologies and recommend architectural approaches that support business objectives and technology modernization. Communicate architectural decisions, technical strategies, and recommendations effectively to executive leadership, business stakeholders, and technical teams. Provide technical leadership throughout solution design, architecture reviews, and implementation activities. Required Qualifications 10+ years of experience in application architecture or enterprise architecture. Demonstrated experience designing cloud-native applications and enterprise solutions using Microsoft Azure and/or AWS. Hands-on experience delivering enterprise AI, Large Language Model (LLM), or agentic AI solutions. Strong understanding of agentic AI architecture, multi-agent orchestration, RAG, tool calling, and AI governance. Proven experience developing, documenting, and maintaining enterprise architecture standards and reference architectures. Experience establishing or operating an Architecture Center of Excellence (COE), architecture review board, or similar governance function. Extensive knowledge of enterprise integration architecture, API management, event-driven architecture, and messaging patterns. Understanding of application modernization strategies, hybrid cloud environments, and enterprise technology integration. Strong knowledge of security architecture, risk management, and enterprise governance frameworks. Excellent communication and stakeholder management skills, including the ability to present architectural strategies and recommendations to executive-level audiences. Technical Skills and Experience Complex Data Architecture: 6+ years of experience. Information Architecture: 6+ years of experience. IT Architecture: 6+ years of experience. Cloud Architecture: Experience with Azure, AWS, and/or hybrid cloud environments. AI and Agentic Architecture: Experience with enterprise AI/LLM solutions, multi-agent orchestration, RAG, and secure AI integrations. Enterprise Integration: Strong expertise in API-led integration, event-driven architecture, messaging, and API lifecycle management. Architecture Governance: Experience developing standards, reference architectures, governance frameworks, and COE operating models. Security and Compliance: Familiarity with NIST AI RMF, CIS, ISO 27001, and enterprise security requirements. Preferred Certifications Microsoft Azure or AWS cloud certification. Additional relevant certifications in enterprise architecture, cloud architecture, AI, cybersecurity, or integration architecture.
11/11/2026
Full time
Job Description Job Description Job Title: Senior Application Architect - AI Agentic, Integration & Architecture COE Location: New York, NY (Hybrid - 3 days onsite and 2 days remote per week) Duration: 12 Months / CONTRACT NO BENEFITS Working Hours: 37.5 hours per week Position Level: Senior Level Certifications: Cloud certification and other relevant certifications preferred. Position Summary We are seeking a highly experienced Senior Application Architect with deep expertise in agentic AI architecture, enterprise integration, and application architecture standards. This is a hands-on senior-level role responsible for designing AI-enabled and agent-based solutions, defining enterprise integration patterns, establishing application architecture standards, and contributing to the development of an Architecture Center of Excellence (COE). The ideal candidate will have extensive experience designing enterprise-scale solutions across Microsoft Azure, AWS, and hybrid cloud environments. The role requires strong technical leadership, a solid understanding of AI/LLM architectures, and the ability to establish secure, scalable, and reusable architectural patterns across the enterprise. Key Responsibilities 1. AI Agentic Architecture Design reference architectures for agentic AI solutions, including multi-agent orchestration, tool calling, Retrieval-Augmented Generation (RAG), and human-in-the-loop controls. Define secure architectural patterns for integrating AI agents with enterprise systems, APIs, and services, including Model Context Protocol (MCP) and event-driven triggers. Establish governance guardrails for agent identity, access management, auditability, observability, evaluation, and cost optimization. Ensure AI-enabled solutions meet enterprise security, scalability, reliability, and governance requirements. Develop reusable architectural frameworks and best practices for enterprise AI adoption. 2. Enterprise Integration Architecture Design and govern API-led, event-driven, and messaging-based integration architectures. Define API lifecycle management strategies, API gateway standards, and enterprise integration patterns. Establish integration approaches for legacy applications, SaaS platforms, and cloud-native systems. Ensure integration architectures support interoperability, scalability, security, and maintainability. Promote reusable integration components and standardized architectural practices across enterprise applications. 3. Architecture Standards and Center of Excellence (COE) Develop, publish, and maintain application, integration, API, and AI architecture standards. Create reference architectures, technical guidelines, reusable design patterns, and implementation playbooks. Help establish and operate an Architecture Center of Excellence, including its charter, governance forums, design reviews, training programs, and operational processes. Define architecture governance processes to ensure consistency, compliance, and alignment with enterprise technology strategy. Establish metrics to measure architecture standards adoption and COE effectiveness in coordination with AI and IT adoption tracking initiatives. Provide architectural guidance and support to development teams to encourage adherence to established standards. 4. Application Modernization, Security, and Collaboration Guide application modernization initiatives and cloud architecture design across Azure, AWS, and hybrid environments. Ensure architectural designs align with applicable security frameworks and organizational requirements, including NIST, the NIST AI Risk Management Framework (AI RMF), CIS, ISO 27001, and relevant transportation-sector security requirements. Collaborate with product management, software engineering, DevOps, and Cybersecurity teams to deliver secure and scalable enterprise solutions. Evaluate emerging technologies and recommend architectural approaches that support business objectives and technology modernization. Communicate architectural decisions, technical strategies, and recommendations effectively to executive leadership, business stakeholders, and technical teams. Provide technical leadership throughout solution design, architecture reviews, and implementation activities. Required Qualifications 10+ years of experience in application architecture or enterprise architecture. Demonstrated experience designing cloud-native applications and enterprise solutions using Microsoft Azure and/or AWS. Hands-on experience delivering enterprise AI, Large Language Model (LLM), or agentic AI solutions. Strong understanding of agentic AI architecture, multi-agent orchestration, RAG, tool calling, and AI governance. Proven experience developing, documenting, and maintaining enterprise architecture standards and reference architectures. Experience establishing or operating an Architecture Center of Excellence (COE), architecture review board, or similar governance function. Extensive knowledge of enterprise integration architecture, API management, event-driven architecture, and messaging patterns. Understanding of application modernization strategies, hybrid cloud environments, and enterprise technology integration. Strong knowledge of security architecture, risk management, and enterprise governance frameworks. Excellent communication and stakeholder management skills, including the ability to present architectural strategies and recommendations to executive-level audiences. Technical Skills and Experience Complex Data Architecture: 6+ years of experience. Information Architecture: 6+ years of experience. IT Architecture: 6+ years of experience. Cloud Architecture: Experience with Azure, AWS, and/or hybrid cloud environments. AI and Agentic Architecture: Experience with enterprise AI/LLM solutions, multi-agent orchestration, RAG, and secure AI integrations. Enterprise Integration: Strong expertise in API-led integration, event-driven architecture, messaging, and API lifecycle management. Architecture Governance: Experience developing standards, reference architectures, governance frameworks, and COE operating models. Security and Compliance: Familiarity with NIST AI RMF, CIS, ISO 27001, and enterprise security requirements. Preferred Certifications Microsoft Azure or AWS cloud certification. Additional relevant certifications in enterprise architecture, cloud architecture, AI, cybersecurity, or integration architecture.
Job Description Job Description Job Title: Cloud Security Architect Location: Princeton, NJ(Hybrid) Type: Contract Responsibilities: Lead architecture and implementation of Palo Alto Strata Cloud Manager (SCM) Design secure cloud network architectures across AWS/Azure/GCP Define standards, best practices, and security frameworks for cloud security Oversee integration of Palo Alto services into enterprise cloud environments Provide technical leadership and guidance to engineering teams Collaborate with stakeholders to align security architecture with business goals Requirements: Strong experience with Palo Alto Networks (SCM implementation required) Proven experience in cloud security architecture (AWS/Azure/GCP) Deep understanding of network security, firewalls, and cloud integrations Experience leading design and architecture decisions Excellent stakeholder communication and leadership skills On-site work commitment System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
11/11/2026
Full time
Job Description Job Description Job Title: Cloud Security Architect Location: Princeton, NJ(Hybrid) Type: Contract Responsibilities: Lead architecture and implementation of Palo Alto Strata Cloud Manager (SCM) Design secure cloud network architectures across AWS/Azure/GCP Define standards, best practices, and security frameworks for cloud security Oversee integration of Palo Alto services into enterprise cloud environments Provide technical leadership and guidance to engineering teams Collaborate with stakeholders to align security architecture with business goals Requirements: Strong experience with Palo Alto Networks (SCM implementation required) Proven experience in cloud security architecture (AWS/Azure/GCP) Deep understanding of network security, firewalls, and cloud integrations Experience leading design and architecture decisions Excellent stakeholder communication and leadership skills On-site work commitment System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
11/11/2026
Full time
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
