40 jobs found

Job Description Top Skills' Details AI solution architecture across business, application, data, integration, security, and infrastructure domains Generative AI, RAG, and Agentic AI Architecture (Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI and multi-agent systems, Prompt engineering and context orchestration, Vector databases, embeddings, reranking, and retrieval strategies, Model selection, routing, fallback, and optimization. AI Security, Identity, and Governance Must Have previous experience as an Architect with A.I Enterprise Experience Must have For the AI Solution Architect role, Generative AI RAG / knowledge architecture Agent architecture AI evaluation AI security LLMOps / AgentOps and production operations Model architecture Enterprise integration AI economics Description The AI Solutions Architect serves as the technical architecture leader for enterprise AI solutions within the AI Center of Excellence and reports directly to the Vice President of Enterprise Architecture. This role is responsible for designing secure, scalable, supportable, and economically sustainable AI-enabled solutions from initial concept through production deployment and ongoing operation. The AI Solutions Architect owns the end-to-end architecture of assigned AI initiatives, including business requirements, artificial intelligence models, agents, data and knowledge sources, integrations, identity, security, infrastructure, observability, operational support, and governance controls. The role ensures that AI capabilities are not developed as isolated experiments, but as enterprise-grade solutions that integrate with existing business processes, platforms, applications, and data ecosystems. The architect works directly with business stakeholders, product owners, engineering teams, Cybersecurity, Data and Analytics, Infrastructure, Legal, Risk, and vendor partners while ensuring alignment with enterprise architecture strategy, standards, governance, and technology roadmaps. The individual must be able to translate business objectives into actionable architecture, validate technical designs through hands-on analysis and prototyping, and clearly communicate architectural decisions, risks, costs, and trade-offs. This position requires demonstrated experience delivering production generative AI, retrieval-augmented generation, machine learning, and agentic AI solutions. Experience limited to strategy, presentations, vendor demonstrations, or proofs of concept does not satisfy the requirements of the role. AI Solution Architecture • Design end-to-end architectures for enterprise AI solutions, including generative AI, retrieval-augmented generation, conversational AI, predictive machine learning, intelligent automation, computer vision, speech, and agentic AI capabilities. • Translate business requirements into comprehensive technical solution designs covering applications, models, agents, data, integrations, security, cloud infrastructure, observability, operations, and governance. • Determine whether artificial intelligence is appropriate for a given business problem and recommend alternative technical approaches when AI does not provide sufficient value, reliability, or economic benefit. • Define current-state, target-state, and transitional architectures for AI initiatives, including technical dependencies, shared capabilities, implementation phases, and architecture risks. • Ensure AI solutions align with enterprise architecture standards, cloud strategies, approved technology platforms, cybersecurity requirements, data governance policies, and operational support models. • Create architecture acceptance criteria and validate that proposed solutions meet functional, technical, security, operational, and business requirements before production deployment. Generative AI and Model Architecture • Design production-grade generative AI solutions using commercial, open-source, hosted, dedicated, and privately deployed models. • Evaluate and select language, vision, speech, embedding, reranking, and multimodal models based on solution quality, latency, cost, context requirements, data sensitivity, deployment options, scalability, supportability, and vendor risk. • Design multi-model architectures that support model routing, fallback, portability, workload specialization, and reduced dependency on a single model provider. • Define prompt architecture, context assembly, structured-output requirements, response validation, model fallback, caching, rate limiting, and error-handling patterns. • Evaluate model performance using repeatable technical and business criteria rather than vendor benchmarks or demonstration results alone. • Maintain awareness of model capabilities, limitations, licensing considerations, deployment constraints, and rapidly changing AI platform capabilities. Agentic AI Architecture • Design secure and reliable AI agents that can reason, use tools, maintain state, interact with enterprise applications, and execute controlled business workflows. • Define agent responsibilities, tool boundaries, memory models, workflow states, delegation rules, approval requirements, and termination conditions. • Design single-agent and multi-agent solutions using deterministic workflow controls around nondeterministic model behavior. • Establish architecture patterns for human-in-the-loop review, escalation, exception handling, retries, timeouts, circuit breakers, compensating actions, and emergency termination. • Define secure agent-to-user, agent-to-agent, and agent-to-tool interaction patterns. • Prevent uncontrolled agent autonomy by enforcing least privilege, constrained tool access, transaction limits, validation rules, and approval gates for consequential actions. • Partner with AI engineering teams to establish consistent agent development, orchestration, testing, deployment, and lifecycle management standards. Retrieval-Augmented Generation and Knowledge Architecture • Design enterprise retrieval-augmented generation solutions across structured, unstructured, document, transactional, graph, and operational data sources. • Define document ingestion, parsing, chunking, metadata enrichment, embedding, indexing, retrieval, reranking, citation, and knowledge-refresh strategies. • Design lexical, semantic, vector, hybrid, graph-enhanced, and structured retrieval patterns based on the characteristics of each use case. • Ensure retrieval solutions preserve source-system security, authorization, data classification, retention, and user entitlements. • Establish patterns for authorization-aware retrieval, source attribution, content freshness, provenance, and deletion. • Define controls for retrieval poisoning, outdated content, duplicate information, conflicting sources, inappropriate data exposure, and unsupported model responses. • Evaluate retrieval quality, answer relevance, groundedness, citation accuracy, and knowledge coverage before production deployment. AI Evaluation and Quality Engineering • Define measurable quality standards and evaluation strategies for generative AI, retrieval, machine learning, and agentic AI solutions. • Establish golden datasets, benchmark scenarios, regression suites, adversarial tests, and business acceptance criteria. • Define evaluation methods for accuracy, relevance, groundedness, hallucination, toxicity, bias, safety, retrieval quality, tool selection, tool-call accuracy, agent trajectory, and task completion. • Implement automated evaluation gates within AI development and deployment pipelines. • Define the appropriate use of human evaluation, expert review, LLM-based evaluation, deterministic testing, and statistical analysis. • Ensure model, prompt, retrieval, agent, and tool changes are tested against previous production behavior before release. • Establish production quality thresholds, monitoring requirements, rollback criteria, and exception-management processes. AI Security, Identity, and Trust Architecture • Design AI solutions in accordance with enterprise cybersecurity, privacy, identity, compliance, and risk-management requirements. • Perform AI-specific threat modeling covering prompt injection, indirect prompt injection, data poisoning, retrieval poisoning, sensitive-data exposure, model extraction, system-prompt leakage, insecure tool invocation, excessive agency, and downstream code execution. • Define identity propagation and authorization patterns across users, agents, models, tools, APIs, applications, data sources, and external services. • Design least-privilege access, workload identities, delegated authorization, service accounts, session isolation, tenant isolation, and approval controls. • Ensure agents cannot access data, tools, or transactions beyond the permissions of the requesting user or approved system identity. • Define security controls for AI gateways, model endpoints, vector stores, knowledge bases, MCP servers, external tools, plugins, third-party models, and vendor services. • Establish auditability that records who initiated an AI request, what context was used, which decisions were made, which tools were invoked, who approved an action, and what action was executed. . click apply for full job details

Job Description Top Skills' Details AI solution architecture across business, application, data, integration, security, and infrastructure domains Generative AI, RAG, and Agentic AI Architecture (Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI and multi-agent systems, Prompt engineering and context orchestration, Vector databases, embeddings, reranking, and retrieval strategies, Model selection, routing, fallback, and optimization. AI Security, Identity, and Governance Must Have previous experience as an Architect with A.I Enterprise Experience Must have For the AI Solution Architect role, Generative AI RAG / knowledge architecture Agent architecture AI evaluation AI security LLMOps / AgentOps and production operations Model architecture Enterprise integration AI economics Description The AI Solutions Architect serves as the technical architecture leader for enterprise AI solutions within the AI Center of Excellence and reports directly to the Vice President of Enterprise Architecture. This role is responsible for designing secure, scalable, supportable, and economically sustainable AI-enabled solutions from initial concept through production deployment and ongoing operation. The AI Solutions Architect owns the end-to-end architecture of assigned AI initiatives, including business requirements, artificial intelligence models, agents, data and knowledge sources, integrations, identity, security, infrastructure, observability, operational support, and governance controls. The role ensures that AI capabilities are not developed as isolated experiments, but as enterprise-grade solutions that integrate with existing business processes, platforms, applications, and data ecosystems. The architect works directly with business stakeholders, product owners, engineering teams, Cybersecurity, Data and Analytics, Infrastructure, Legal, Risk, and vendor partners while ensuring alignment with enterprise architecture strategy, standards, governance, and technology roadmaps. The individual must be able to translate business objectives into actionable architecture, validate technical designs through hands-on analysis and prototyping, and clearly communicate architectural decisions, risks, costs, and trade-offs. This position requires demonstrated experience delivering production generative AI, retrieval-augmented generation, machine learning, and agentic AI solutions. Experience limited to strategy, presentations, vendor demonstrations, or proofs of concept does not satisfy the requirements of the role. AI Solution Architecture • Design end-to-end architectures for enterprise AI solutions, including generative AI, retrieval-augmented generation, conversational AI, predictive machine learning, intelligent automation, computer vision, speech, and agentic AI capabilities. • Translate business requirements into comprehensive technical solution designs covering applications, models, agents, data, integrations, security, cloud infrastructure, observability, operations, and governance. • Determine whether artificial intelligence is appropriate for a given business problem and recommend alternative technical approaches when AI does not provide sufficient value, reliability, or economic benefit. • Define current-state, target-state, and transitional architectures for AI initiatives, including technical dependencies, shared capabilities, implementation phases, and architecture risks. • Ensure AI solutions align with enterprise architecture standards, cloud strategies, approved technology platforms, cybersecurity requirements, data governance policies, and operational support models. • Create architecture acceptance criteria and validate that proposed solutions meet functional, technical, security, operational, and business requirements before production deployment. Generative AI and Model Architecture • Design production-grade generative AI solutions using commercial, open-source, hosted, dedicated, and privately deployed models. • Evaluate and select language, vision, speech, embedding, reranking, and multimodal models based on solution quality, latency, cost, context requirements, data sensitivity, deployment options, scalability, supportability, and vendor risk. • Design multi-model architectures that support model routing, fallback, portability, workload specialization, and reduced dependency on a single model provider. • Define prompt architecture, context assembly, structured-output requirements, response validation, model fallback, caching, rate limiting, and error-handling patterns. • Evaluate model performance using repeatable technical and business criteria rather than vendor benchmarks or demonstration results alone. • Maintain awareness of model capabilities, limitations, licensing considerations, deployment constraints, and rapidly changing AI platform capabilities. Agentic AI Architecture • Design secure and reliable AI agents that can reason, use tools, maintain state, interact with enterprise applications, and execute controlled business workflows. • Define agent responsibilities, tool boundaries, memory models, workflow states, delegation rules, approval requirements, and termination conditions. • Design single-agent and multi-agent solutions using deterministic workflow controls around nondeterministic model behavior. • Establish architecture patterns for human-in-the-loop review, escalation, exception handling, retries, timeouts, circuit breakers, compensating actions, and emergency termination. • Define secure agent-to-user, agent-to-agent, and agent-to-tool interaction patterns. • Prevent uncontrolled agent autonomy by enforcing least privilege, constrained tool access, transaction limits, validation rules, and approval gates for consequential actions. • Partner with AI engineering teams to establish consistent agent development, orchestration, testing, deployment, and lifecycle management standards. Retrieval-Augmented Generation and Knowledge Architecture • Design enterprise retrieval-augmented generation solutions across structured, unstructured, document, transactional, graph, and operational data sources. • Define document ingestion, parsing, chunking, metadata enrichment, embedding, indexing, retrieval, reranking, citation, and knowledge-refresh strategies. • Design lexical, semantic, vector, hybrid, graph-enhanced, and structured retrieval patterns based on the characteristics of each use case. • Ensure retrieval solutions preserve source-system security, authorization, data classification, retention, and user entitlements. • Establish patterns for authorization-aware retrieval, source attribution, content freshness, provenance, and deletion. • Define controls for retrieval poisoning, outdated content, duplicate information, conflicting sources, inappropriate data exposure, and unsupported model responses. • Evaluate retrieval quality, answer relevance, groundedness, citation accuracy, and knowledge coverage before production deployment. AI Evaluation and Quality Engineering • Define measurable quality standards and evaluation strategies for generative AI, retrieval, machine learning, and agentic AI solutions. • Establish golden datasets, benchmark scenarios, regression suites, adversarial tests, and business acceptance criteria. • Define evaluation methods for accuracy, relevance, groundedness, hallucination, toxicity, bias, safety, retrieval quality, tool selection, tool-call accuracy, agent trajectory, and task completion. • Implement automated evaluation gates within AI development and deployment pipelines. • Define the appropriate use of human evaluation, expert review, LLM-based evaluation, deterministic testing, and statistical analysis. • Ensure model, prompt, retrieval, agent, and tool changes are tested against previous production behavior before release. • Establish production quality thresholds, monitoring requirements, rollback criteria, and exception-management processes. AI Security, Identity, and Trust Architecture • Design AI solutions in accordance with enterprise cybersecurity, privacy, identity, compliance, and risk-management requirements. • Perform AI-specific threat modeling covering prompt injection, indirect prompt injection, data poisoning, retrieval poisoning, sensitive-data exposure, model extraction, system-prompt leakage, insecure tool invocation, excessive agency, and downstream code execution. • Define identity propagation and authorization patterns across users, agents, models, tools, APIs, applications, data sources, and external services. • Design least-privilege access, workload identities, delegated authorization, service accounts, session isolation, tenant isolation, and approval controls. • Ensure agents cannot access data, tools, or transactions beyond the permissions of the requesting user or approved system identity. • Define security controls for AI gateways, model endpoints, vector stores, knowledge bases, MCP servers, external tools, plugins, third-party models, and vendor services. • Establish auditability that records who initiated an AI request, what context was used, which decisions were made, which tools were invoked, who approved an action, and what action was executed. . click apply for full job details

Job Description Description We are looking for an experienced and enthusiastic Business Intelligence Engineer to join the BI Engineering, Analytics, & Data Science (BAND) team supporting Robotic Storage Tech (RST) programs within Robotics. In this role, you will serve as the BI owner for RST's portfolio of robotic solutions - designing, developing, and maintaining dashboards, reports, and other analytics artifacts that enable data-driven decisions across the program lifecycle. You will also establish the standards and operating procedures that ensure our BI solutions remain scalable, reliable, and maintainable as RST's technology portfolio grows. Beyond dashboards, you bring a strong foundation in statistics - including hypothesis testing, design of experiments, and exploratory data analysis - to support engineering and program teams in evaluating robotic system performance. You are a collaborative problem-solver who thinks holistically about how systems work together and uses data to identify improvements to architecture, design, and operational readiness. Key job responsibilities • BI Ownership for RST: Design, build, and maintain dashboards and reporting solutions that serve all RST robotic solutions through their Alpha, Beta, and General Availability phases. • Governance & Maintainability: Develop and document Standard Operating Procedures (SOPs) for dashboard lifecycle management - including version control practices, data validation standards, refresh monitoring, stakeholder access management, and deprecation workflows - to ensure long-term health and scalability of the team's BI portfolio. • Data Source Development: Identify and onboard new data sources, define metrics, and build data pipelines that feed BI solutions and enable cross-program comparisons. • Stakeholder Partnership: Collaborate with Data Scientists, Data Engineers, Program Managers, and engineering teams to translate ambiguous business questions into structured analyses and automated reporting. • Statistical Analysis: Execute foundational statistical methods including hypothesis testing, confidence intervals, design of experiments (DOE), and regression analysis to support engineering evaluations and program decisions. • Whitepaper & Insights Delivery: Author recommendation-focused whitepapers and deep-dive analyses that inform technology development decisions and shape RST's roadmap. A day in the life You will own major components of the BAND team's analytics infrastructure for RST, including contributing to data architecture decisions and delivering reports that drive the development and deployment of new robotic storage systems. On any given day, you might be building a new operational dashboard for a robotic solution entering Beta, writing an SOP that defines how the team documents data lineage and refresh schedules, or running a designed experiment to evaluate a system configuration change. You will maintain a deep understanding of data lineage across your BI solutions - from the technical systems generating the data, through metric aggregation processes, to how insights are consumed and acted upon by stakeholders. You will create and optimize scripts (Python, R, Shell) to streamline BI processes and select appropriate analytics and visualization tools to meet diverse business needs. Your work will directly influence technology development decisions across RST's portfolio and shape the future robotic storage technology landscape. About the team Robotic Storage Tech (RST) invents, designs, and develops transformational storage solutions used in the Logistic Network. We will realize the next generation of automated containerized systems, and optimize our existing install base. We are a team of talented engineers, product evangelists, and creators focused on technologies that make inventory pick, stow, and count safer and more efficient. We deliver value with our elite robotic technologies because we listen and respond to our many customers, develop robust and reliable solutions, and invest in both our people and our products. Basic Qualifications - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience writing complex SQL queries - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Job Type & Location This is a Contract position based out of Westborough, MA. Pay and Benefits The pay range for this position is $40.00 - $50.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Westborough,MA. Application Deadline This position is anticipated to close on Aug 26, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Job Description Description We are looking for an experienced and enthusiastic Business Intelligence Engineer to join the BI Engineering, Analytics, & Data Science (BAND) team supporting Robotic Storage Tech (RST) programs within Robotics. In this role, you will serve as the BI owner for RST's portfolio of robotic solutions - designing, developing, and maintaining dashboards, reports, and other analytics artifacts that enable data-driven decisions across the program lifecycle. You will also establish the standards and operating procedures that ensure our BI solutions remain scalable, reliable, and maintainable as RST's technology portfolio grows. Beyond dashboards, you bring a strong foundation in statistics - including hypothesis testing, design of experiments, and exploratory data analysis - to support engineering and program teams in evaluating robotic system performance. You are a collaborative problem-solver who thinks holistically about how systems work together and uses data to identify improvements to architecture, design, and operational readiness. Key job responsibilities • BI Ownership for RST: Design, build, and maintain dashboards and reporting solutions that serve all RST robotic solutions through their Alpha, Beta, and General Availability phases. • Governance & Maintainability: Develop and document Standard Operating Procedures (SOPs) for dashboard lifecycle management - including version control practices, data validation standards, refresh monitoring, stakeholder access management, and deprecation workflows - to ensure long-term health and scalability of the team's BI portfolio. • Data Source Development: Identify and onboard new data sources, define metrics, and build data pipelines that feed BI solutions and enable cross-program comparisons. • Stakeholder Partnership: Collaborate with Data Scientists, Data Engineers, Program Managers, and engineering teams to translate ambiguous business questions into structured analyses and automated reporting. • Statistical Analysis: Execute foundational statistical methods including hypothesis testing, confidence intervals, design of experiments (DOE), and regression analysis to support engineering evaluations and program decisions. • Whitepaper & Insights Delivery: Author recommendation-focused whitepapers and deep-dive analyses that inform technology development decisions and shape RST's roadmap. A day in the life You will own major components of the BAND team's analytics infrastructure for RST, including contributing to data architecture decisions and delivering reports that drive the development and deployment of new robotic storage systems. On any given day, you might be building a new operational dashboard for a robotic solution entering Beta, writing an SOP that defines how the team documents data lineage and refresh schedules, or running a designed experiment to evaluate a system configuration change. You will maintain a deep understanding of data lineage across your BI solutions - from the technical systems generating the data, through metric aggregation processes, to how insights are consumed and acted upon by stakeholders. You will create and optimize scripts (Python, R, Shell) to streamline BI processes and select appropriate analytics and visualization tools to meet diverse business needs. Your work will directly influence technology development decisions across RST's portfolio and shape the future robotic storage technology landscape. About the team Robotic Storage Tech (RST) invents, designs, and develops transformational storage solutions used in the Logistic Network. We will realize the next generation of automated containerized systems, and optimize our existing install base. We are a team of talented engineers, product evangelists, and creators focused on technologies that make inventory pick, stow, and count safer and more efficient. We deliver value with our elite robotic technologies because we listen and respond to our many customers, develop robust and reliable solutions, and invest in both our people and our products. Basic Qualifications - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience writing complex SQL queries - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Job Type & Location This is a Contract position based out of Westborough, MA. Pay and Benefits The pay range for this position is $40.00 - $50.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Westborough,MA. Application Deadline This position is anticipated to close on Aug 26, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Job Description Description Looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Are you ready for your next career challenge? Leidos Defense provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence analysis and operations support. Our team is solving the world's toughest security challenges for customers with "can't fail" missions. We are seeking a highly motivated and experienced Product Owner with strong Agile expertise to join our team. The Product Owner will be responsible for defining and prioritizing product features, maintaining the team backlog, aligning with business and technical stakeholders, and ensuring delivery of high value, customer-focused solutions. This role requires strong communication, deep business understanding, and the ability to work effectively with Agile teams in a scaled environment. Primary Responsibilities Serve as the customer voice for the Agile team, ensuring alignment to business goals and program objectives. Define, maintain, and prioritize the team backlog (features, user stories, enablers). Develop and clearly communicate acceptance criteria for user stories and features. Collaborate closely with the Product Manager to refine features and ensure readiness for Program Increment (PI) planning. Contribute to PI Planning, Iteration Planning, Backlog Refinement, Iteration Reviews, and System Demos. Work with stakeholders and the System Architect to ensure backlog items meet Definition of Ready. Support the team in delivering high-quality increments that meet Definition of Done. Make real-time scope, priority, and trade-off decisions to maximize business value. Ensure transparency into progress, risks, and dependencies across the team and stakeholders. Analyze customer needs, market trends, and business objectives to support product roadmap decisions. Promote Agile SAFe practices to continuously improve team performance and outcomes. Basic Qualifications Bachelor's degree in Computer Science, Computer Engineering, or a related field with 8+ years of experience or 6+ with Master's 2+ years of experience as a Product Owner or similar role in an Agile environment. Experience writing user stories, features, defining acceptance criteria, and guiding cross-functional Agile teams. Experience decomposing large feature sets into smaller subsets for team execution. Strong communication, prioritization, and stakeholder engagement skills in a fast-paced, evolving environment. Currently living in Huntsville, AL or willing to relocate Currently holds or as the ability to obtain a Secret clearance Preferred Qualifications Experience working in a large-scale Agile SAFe environment. SAFe Product Owner/Product Manager (POPM) certification. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:July 17, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at -benefits. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Job Description Description Looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Are you ready for your next career challenge? Leidos Defense provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence analysis and operations support. Our team is solving the world's toughest security challenges for customers with "can't fail" missions. We are seeking a highly motivated and experienced Product Owner with strong Agile expertise to join our team. The Product Owner will be responsible for defining and prioritizing product features, maintaining the team backlog, aligning with business and technical stakeholders, and ensuring delivery of high value, customer-focused solutions. This role requires strong communication, deep business understanding, and the ability to work effectively with Agile teams in a scaled environment. Primary Responsibilities Serve as the customer voice for the Agile team, ensuring alignment to business goals and program objectives. Define, maintain, and prioritize the team backlog (features, user stories, enablers). Develop and clearly communicate acceptance criteria for user stories and features. Collaborate closely with the Product Manager to refine features and ensure readiness for Program Increment (PI) planning. Contribute to PI Planning, Iteration Planning, Backlog Refinement, Iteration Reviews, and System Demos. Work with stakeholders and the System Architect to ensure backlog items meet Definition of Ready. Support the team in delivering high-quality increments that meet Definition of Done. Make real-time scope, priority, and trade-off decisions to maximize business value. Ensure transparency into progress, risks, and dependencies across the team and stakeholders. Analyze customer needs, market trends, and business objectives to support product roadmap decisions. Promote Agile SAFe practices to continuously improve team performance and outcomes. Basic Qualifications Bachelor's degree in Computer Science, Computer Engineering, or a related field with 8+ years of experience or 6+ with Master's 2+ years of experience as a Product Owner or similar role in an Agile environment. Experience writing user stories, features, defining acceptance criteria, and guiding cross-functional Agile teams. Experience decomposing large feature sets into smaller subsets for team execution. Strong communication, prioritization, and stakeholder engagement skills in a fast-paced, evolving environment. Currently living in Huntsville, AL or willing to relocate Currently holds or as the ability to obtain a Secret clearance Preferred Qualifications Experience working in a large-scale Agile SAFe environment. SAFe Product Owner/Product Manager (POPM) certification. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:July 17, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at -benefits. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Job Description Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Tapestry Solutions, A Boeing Company, brings over 30 years of industry experience designing, implementing, training, and supporting high-quality, cost-effective information technology and business intelligence solutions. With a dedicated team of approximately 500 professionals, we proudly serve 75 defense, commercial, and government clients across more than 50 U.S. locations and 9 countries worldwide. As a trusted partner, our employees embody our core values by consistently delivering excellence, taking full ownership, and developing innovative solutions that enable critical missions and ensure the safety of our global customers and team members. Joining Tapestry Solutions means enjoying the best of both worlds: access to the vast resources of Boeing combined with the agility and people-focused, family-oriented culture of a small business where your contributions truly matter. Tapestry Solutions, a part of Boeing Global Services BGS, is seeking a Software Systems Engineer in Hazelwood, MO for the Department of Navy Tomahawk Land-Attack Missile program. The Tomahawk program continues to grow and expand as a relevant deterrent against adversaries across the globe and is employed by multiple military organizations. This program is expected to remain in active service for the foreseeable future. The successful candidate for the role of Software Systems Engineer will play a crucial role in the design, development, testing, and maintenance of non-embedded software throughout the end-to-end lifecycle that meets industry, customer, and safety standards for the Tomahawk program, while adhering to strict government regulations. You will have the opportunity to review, analyze, and translate customer requirements into initial design of software products. Your expertise will be instrumental in developing, maintaining, enhancing and optimizing software products and functionalities for systems integrations. Additionally, you will debug and resolve issues identified to ensure the reliability and efficiency of software products. Position Responsibilities: Model-Based Systems Engineering (MBSE) using Cameo System Modeler Manage requirements, tracking, and verification for TMP systems change requests (CRs) Apply an interdisciplinary, collaborative approach to plan, design, develop and verify a lifecycle balanced system of systems and system solutions Evaluate customer and operational needs to define and coordinate system performance requirements, integrate technical parameters and assure compatibility of all physical, functional and program interfaces. Develop and maintain code, unit test and integrate software components into the TMP system Develop, document and maintain architectures, requirements, interfaces, designs and algorithms for TMP system. Collaborate with software development team to share expertise and knowledge. Drive TMP software architecture, design and approach through: Software process development, selection, tailoring and deployment, tools and metrics. Accuracy and accountability are essential. Your expectations include: Development of software verification plans, test procedures and test environments. Provides technical solutions for a diverse range of challenges. Implementation of TMP and Industry standard software processes. Collaboration with and provide guidance to less experienced team members. Basic Qualifications (Required Skills/Experience): Bachelor's Degree Active U.S. Secret Clearance with the ability to obtain TS/SCI Ability to meet DoD 8140 Program Foundational qualifications Experience using Catia Magic System of Systems, DoDAF or similar Model-Based System Engineering (MBSE) software Proficiency in .Net Framework and sysML (or extensive Unified Modeling Language) Experience in managing DoD contracts requirements Experience in all aspects of designing and implementing system architecture, requirements, software, and software testing Preferred Qualifications (Desired Skills/Experience): Experience in handling documentation products for the use of developers and stakeholders, specifically regarding requirements and systems of systems Experience with software design and development tools such as, Subversion, Azure DevOps, Git Experience with Navigation Modeling and Flight Simulation Drug Free Workplace: We are a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: We strive to deliver a total rewards package that will attract, engage and retain the top talent. Elements of this package include competitive base pay and variable compensation opportunities. We also provide eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location and date of hire. Pay is based upon candidate experience and qualification, as well as market and business considerations. Summary base pay range $135,000 - $165,000 Applications for this position will be accepted until Sept. 26, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Senior Software Engineer - Lab Provisioning & Integration in Berkeley, MO. You will apply sophisticated engineering principles and deep expertise to architect and deliver highly scalable, secure, and resilient lab environments supporting critical multi-program integration and test activities. You will lead initiatives requiring creativity and ingenuity, influence organizational technical direction, and provide leadership and mentorship in cloud infrastructure, automation, and DevSecOps. This role carries significant responsibility for ensuring technical excellence, delivering innovative solutions to complex challenges, and acting as a primary technical liaison with internal teams and external stakeholders. Position Responsibilities: Advanced Lab Environment Leadership: Apply specialized knowledge and insights to architect, provision, and optimize complex lab/test environments on-premises and across cloud platforms (Azure, AWS) using Infrastructure as Code (Terraform, Ansible). Establish and standardize best practices. Integration Testing Architecture: Lead the design and continuous improvement of enterprise-wide automated integration testing workflows involving multiple program segments, ensuring comprehensive, data-driven feedback and rapid resolution of cross-segment integration issues. Strategic Deployment Pipeline Ownership: Drive innovation in deployment mechanisms and pipelines for physical and virtual systems, ensuring scalability, security, repeatability, and operational excellence aligned with long-term organizational objectives. Data-Driven Insight & Decision Making: Establish advanced processes for collecting, analyzing, and interpreting performance, stability, and integration data to deliver strategic recommendations that support organizational goals. Technical Leadership & Mentorship: Serve as a recognized technical leader and resource. Mentor and guide engineers across projects, promote engineering rigor and best practices, facilitate knowledge sharing, and contribute to a high-performance culture. Security & Compliance Leadership: Lead integration of security principles and ensure compliance with relevant industry standards (CIS, NIST, SOC 2, FedRAMP). Promote adoption of security tools and standards across DevSecOps processes. Cross-Organizational Liaison: Represent Boeing as a trusted technical advisor on advanced programs; lead coordination with senior personnel and external partners on complex technical issues. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location option. Basic Qualifications (Required Skills/ Experience): Position requires an Active Secret US Security Clearance and ability to obtain Top Secret post-start for which the US Government requires US Citizenship Bachelor's Degree 9+ years of relevant professional experience or equivalent combination of education and experience Knowledge of CICD process tools such as GITLab, Azure DevOps, Jenkins etc Experience with light scripting (e.g., Python, PowerShell, Bash) to automate routine tasks, data flows between systems, and improve system reliability Experience leading people and complex projects Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 9+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience Extensive experience with observability platforms (Prometheus, Grafana, ELK, CloudWatch) to deliver actionable monitoring insights Advanced experience architecting, deploying, and maintaining production-grade Kubernetes clusters (EKS, AKS) Proven knowledge of DevSecOps security frameworks and cloud security best practices Deep expertise provisioning and leading complex lab/test environments both on-premises and in public cloud (Azure, AWS) Exceptional problem-solving skills, technical judgment, and the ability to work under minimal supervision Effective communication skills with experience liaising between technical teams, leadership, and external customers Certifications like Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, Azure DevOps Engineer Expert Experience leading GitOps workflows and tools (Argo CD, Flux) Knowledge of secrets management solutions (HashiCorp Vault, Azure Key Vault) Familiarity with service mesh technologies such as Istio, Linkerd Demonstrated track record mentoring engineers and leading technical initiatives Experience in Infrastructure as Code (IaC) and CI/CD environments Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $160,650 - $217,350 Applications for this position will be accepted until Aug. 28, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.