April 22, 2026For 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. 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 LeidosCareersFraud@leidos.com.
ul>Design and implement agentic AI systems that enable autonomous decision-making, workflow orchestration, and mission process optimization—with appropriate guardrails and human oversight. Minimum EIGHT (8) years in solutions architecture, software engineering, data engineering, and/or applied ML with a track record of delivering production systems.
Washington, DC30+ days ago
You will partner closely with sales, client partners, delivery leaders, and technology partners to architect differentiated solutions, lead executive-level technical conversations, and drive pipeline growth through consultative technical selling. This position reports to the Regional Capability Lead and is based in Washington CD supporting the DC-Chesapeake region, where you'll play a pivotal role in driving Data and AI sales and fostering customer-centric go-to-market strategies.
This role is fully remote, offering the opportunity to work on impactful projects that leverage artificial intelligence to improve operational efficiency, automate workflows, and support decision-making in secure government environments. * Design and Deploy AI/ML Solutions: Develop practical machine learning models and AI prototypes tailored to mission-critical government use cases such as workflow automation, document processing, and decision-support analytics.
We are seeking a skilled AI / Machine Learning Modeler / Engineer to support critical government and intelligence programs by developing, deploying, and maintaining advanced machine learning models in production environments. This role focuses on building high-performing, scalable AI solutions using supervised, unsupervised, and reinforcement learning techniques to solve complex operational challenges.
We are seeking a skilled Artificial Intelligence Analyst / Engineer to support critical government and intelligence programs by developing and implementing advanced AI and machine learning solutions. This role focuses on applying emerging technologies to complex datasets, designing AI/ML models, and advising on appropriate solutioning to support mission and business objectives.
strong> InterSources Inc , is a Small, Woman, and Minority-Owned Business Enterprise, ISO/IEC 27001, SOC 2 Type 2 certified company with massive 18+ years of diversified experience in providing IT Consulting Services, Artificial Intelligence, Data Analysis, Application Development, Cloud Services, Cybersecurity, Digital Marketing, ERP Management, Custom Software Development, Web Development, UI/ UX Design, System Integration, QA Support etc. Responsibilities:- Drive the full lifecycle development from design to deployment of scalable chatbots and virtual assistants utilizing Microsoft Bot Framework, Kore.ai, or similar CAI technologies.
li>Experience: 10 years in complex data models or system architectures and 2 years in cybersecurity or security risk management. Pattern Graph and Knowledge Architecture: Build a queryable security pattern graph for comprehensive risk analysis.
strong>Why Should You Apply?
Deep Workday / System Integration: Proven track record of executing bi-directional integrations between Eightfold and Core HCM ecosystems (Workday, etc.), ensuring seamless data flow for candidates and employees. Skills Taxonomy Design / Mapping: Expertise in tailoring the Eightfold Skills Taxonomy to align with specific job architectures and global talent profiles to enable AI-driven matching and internal mobility.
The ideal candidate has a combination of technical, operational, and interpersonal skills, with demonstrated expertise in collaborating with cross-functional teams to collect and interpret complex datasets. Candidates must have a desire to be part of a data-driven, customer-focused, fast-paced team that loves the mission of improving the citizen's experience and providing excellent service to government customers.
b>Key Responsibilities- Architectural Leadership: Lead the evolution of a scalable Data & AI platform, integrating Databricks, SAP (Datasphere/S/4), and Denodo virtualization into a governed, self-service ecosystem.
- Solution Delivery: Act as a hands-on lead developer for complex data pipelines, feature stores, and API-driven integrations that power enterprise-wide analytics and digital experiences.
li> RAG + Model/Tool Orchestration (Python-led)- Architect and govern RAG pipelines, knowledge grounding approaches, and multi-turn agent orchestration using frameworks such as LangChain (or equivalent).
- Autonomous Agent Design & Orchestration (Copilot-led)
- Architect and enable autonomous agent workflows using GitHub Copilot, including multi-step orchestration and enterprise guardrails.
Rockville, MD30+ days ago
Learn more at www.consultnet.com . The Lead Product Manager is responsible for the planning, execution, and lifecycle management of one or more products, including all aspects of the Product Development Lifecycle (PDLC): backlog management, discovery, design, engineering collaboration, and production delivery.
Alexandria, VA30+ days ago
li>Experience developing Agentic AI solutions, including autonomous planning-execution-reflection loops, multi-agent collaboration and coordination, and tool usage patterns including API integration, retrieval-augmented generation (RAG), and memory/context management. Bachelor's degree in Computer Science, Engineering, Information Systems, Artificial Intelligence, or related technical discipline and 8-12 years of relevant experience OR Master's degree in a related field and 6-10 years of relevant experience.
li>Relevant Salesforce Data 360 platform experience or equivalent Customer Data Platform solutions (Custom CDP Solutions, SaaS CDP Solutions such as Tealium AudienceStream, Adobe AEP, Segment, Treasure Data, BlueShift, SessionM, RedPoint etc.).
Responsibilities:
Provide specialist Data 360 product & implementation expertise to help position, scope, schedule, and resource Data 360 Professional Services engagements, including for both customer-funded and ARI/SWE funded engagements.
Responsibilities Design and deliver hands‑on deep learning and AI training sessions using real‑world scientific and biomedical datasets Develop, maintain, and continuously improve training materials, including notebooks, scripts, exercises, and technical documentation Teach core deep learning concepts such as neural networks, convolutional neural networks (CNNs), model training, optimization, and evaluation Support and instruct on the use of modern deep learning frameworks (e.g., PyTorch, TensorFlow, Keras) in GPU‑enabled HPC environments Guide users on best practices for running AI workloads on shared HPC systems, including job scheduling, performance optimization, and resource utilization Collaborate with HPC and scientific computing teams to ensure training content aligns with current infrastructure, policies, and tools Provide post‑training support through office hours, troubleshooting, and consultation for ongoing research projects Keep training curricula current with advances in AI, deep learning tooling, and evolving research priorities Qualifications Advanced degree (PhD or MD) in Computer Science, Data Science, Computational Biology, Bioinformatics, or a related discipline Strong hands‑on experience developing and training deep learning models Practical experience working in Linux‑based HPC environments, including GPU computing Demonstrated experience delivering technical training, workshops, or instructional content to scientific or technical audiences Excellent communication skills with the ability to explain complex technical concepts to diverse audiences Preferred Experience Experience supporting biomedical, life sciences, or federally funded research initiatives Familiarity with large‑scale research computing environments and HPC workflows Experience building reproducible training materials using tools such as Jupyter notebooks and Git‑based repositories Knowledge of data management, security, and compliance considerations in regulated research environments Additional information Wellness program and employee assistance. As digital pioneers with 20,000 people and 53 offices around the globe, our experience spanning technology, data sciences, consulting and customer obsession - combined with our culture of curiosity and relentlessness - enables us to accelerate our clients' businesses through designing the products and services their customers truly value.
Its functions are split equally between delivery and internal employee enablement, whereby half of the role is customer-facing and involves serving Salesforce's enterprise Agentforce customers as a technical advisor, and the other half is spent on enabling CSG employees on Agentforce by providing technical expertise; documenting reference architecture; building reusable tools, assets, and patterns; running live enablement sessions; and providing from-the-field feedback (Voice of the Customer) to the Product and Engineering organizations to contribute to product enhancements. Partner with customers and account teams to assess business challenges, identify high-impact Agentforce use cases, define solution scope, develop detailed technical designs, and articulate the business value of proposed solutions to foster successful adoption and identify future opportunities.
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Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. You will partner cross-functionally to identify opportunities and reimagine workflows, with a core focus on translating those insights into working systems-building automations, integrating tools, and shipping scalable AI solutions.
p>Shift 1st shift United States of America Hours Per Week 40 Learn more about this role View transcript Close transcript Music in background throughout On screen copy Bank of America logo Technology Architect Technology Architect At Bank of America, I help shape the technology strategy that powers our global business. Information Security Architect - AI & Cloud Security is a senior member of the BISO Secure Solutions Design team responsible for defining secure architecture patterns, assessing emerging AIML solutions, and ensuring alignment with Global Information Security (GIS) policies and enterprise architecture strategies.
Manage and lead the Tech Law function as a strategic leader who also personally provides legal support for technology-related matters, including transactional matters, such as software licenses, cloud computing arrangements, collaboration and joint development agreements, and AI related agreements. Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment.
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. Manager is responsible for the hands-on implementation and integration of AI agents, ensuring seamless tool integrations (such as with analytics software), efficient code deployment, and ongoing performance optimization.
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field). A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration.
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field). A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration.
You'll work hands-on with LLMs, transformers, retrieval-augmented generation (RAG), and AI agents, collaborating with Engineering to bring prototypes all the way to production and take ownership of their ongoing maintenance, enhancement, and evolution. Architect and implement production-ready AI solutions involving LLMs, transformer-based models, retrieval systems, agentic workflows, and AI agents for generative tasks and automation.
This is a great opportunity for someone who thrives in an ambiguous, fast-changing, highly matrixed environment and enjoys working cross-functionally with teams like HR Business Partners, Talent Acquisition, Talent Management, Total Rewards, and People Operations. In this role, you'll play a key role in improving the effectiveness, scalability, and innovation of the HR organization by leading complex, cross-functional initiatives and identifying opportunities to leverage AI and automation across HR processes and workflows.
Washington DC, District of Columbia30+ days ago
p/>Work in cross-functional squads across Investments, Investments Technology, and TRP Labs to architect, build, and operationalize autonomous AI agents that interact with proprietary financial data, enterprise systems, and investment professionals.
BS or MS in Computer Science or a related technical field (or equivalent experience), with 8+ years of progressive professional development experience in object-oriented languages (such as Java, Python, or JavaScript), including demonstrated leadership of engineering teams.
Arlington, Virginia30+ days ago
ul style="min-height:1.5em">Design and evolve our provider-agnostic LLM integration layer, maintaining a unified abstraction over streaming, tool calling, structured output, and context management that lets the platform run multi-turn, multi-agent conversations across models with no configuration changes. MCP servers over internal data sources and systems, designing agent-native interfaces that go beyond API wrappers to reduce ambiguity, improve determinism, and give agents first-class access to organizational knowledge.
For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. This role partners closely with executive leadership and cross-functional stakeholders to drive alignment, execution, and measurable business outcomes.
li>Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. To learn more on how to recognize job scams, please visit the Federal Trade Commissions guide at https://consumer.ftc.gov/articles/job-scams.
That means the Partner API program and its next evolution, the developer portal and partner certification framework, and the emerging capability that makes Evidence.com natively accessible to AI agents operating inside agency workflows - enabling any compatible AI tool an agency deploys to retrieve evidence, check chain of custody, surface case connections, and take action, all through a permissioned, auditable interface. - 10+ years of product management experience, with a meaningful portion building developer-facing products - APIs, SDKs, developer portals, integration platforms, or two-sided ecosystems where third-party builders are a primary customer.
Work in cross-functional squads across Investments, Investments Technology, and TRP Labs to architect, build, and operationalize autonomous AI agents that interact with proprietary financial data, enterprise systems, and investment professionals. - Required:
- BS or MS in Computer Science or a related technical field (or equivalent experience), with 8+ years of progressive professional development experience in object-oriented languages (such as Java, Python, or JavaScript), including demonstrated leadership of engineering teams.
li>Desired Education: Master's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education; or have Bachelor's degree related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master's degree. Responsibilities:
This opportunity supports DIA''''s Object Based Intelligence and Quality Assurance (OBIQUA) initiative focused on advancing intelligence analysis through Agile program management, AI assurance, analytic innovation, and ontology development.
Rockville, MD30+ days ago
For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. You demonstrate strong product sense for identifying high-impact automation opportunities, sound technical judgment in implementation decisions, and the ability to clearly articulate architectural trade-offs.
Springfield, Virginia1 day ago
li style="margin-bottom:11px;margin-left:8px">Designing multi-modal databases that integrate multiple data types, including:- Relational.
- Designing and implementing event pipelines that orchestrate data cataloging processes for different data types, including processes for data extraction, normalization, enrichment, and ingestion.
ul>Conduct rigorous testing of conversational AI models, including:- Functional testing to verify correct behavior, assess the accuracy, relevance, and coherence of AI-generated responses.
- Performance testing to evaluate response times, system load, and resource utilization.
p/> Production support and maintenance: support applications you build across environments,
resolve critical issues, and fulfill ad hoc requests to ensure seamless business operations.
Ownership & Drive: Self-motivated engineer who takes complete ownership of deliverables,
proactively identifies process improvements, and ensures successful project completion.
Knowledge Strategy Lawyer, Litigation Knowledge Management, Legal Technology, Generative AI, eDiscovery, Legal Innovation, Document Automation, Practice Solutions, Litigation Support, Knowledge Management Attorney, AI Legal Tools, Litigation Workflows, Legal Operations, Attorney Training, Legal Research, Precedent Management, Law Firm Innovation, Practice Group Support, Legal AI, Workflow Optimization, Legal Knowledge Systems, KM Strategy, Litigation Practice, Attorney Collaboration, Legal Process Improvement, AI Adoption, Legal Content Management, Legal Training, Litigation Technology, Knowledge Sharing, Legal Transformation, Legal Practice Innovation. Refer a friend: Referral fee program Career Developers Inc., a distinguished staffing and consulting firm, is proud to celebrate 30 years of service excellence.
Knowledge Management, Inc. participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, KMI is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. KMI is a Minority Business Enterprise (MBE) and Small Disadvantage Business (SDB) that specializes in Logistics, Warehouse Services, Distance Learning/Training, Enterprise Solutions, Financial Management Support, Program Management, Intelligence Analysis & Threat Assessment, and Data Analytics/Operations Research.
Washington, D.C., DC30+ days ago
p>We're looking for highly experienced software engineer (SR+) to help evaluate the quality of interactions with modern coding agents such as OpenAI Codex and Claude Code. We're specifically looking for engineers who can answer questions like:
Fort Belvoir, VA26 days ago
p>Key Responsibilities: AI Solutions Architecture:
Rather than building a greenfield environment, our focus is to extend and modernize this system by layering in next-generation AI agent capabilities, Amazon Q in Connect, and native AWS integrations to resolve customer interactions seamlessly. Experience designing voice and email as a unified conversation thread, designing custom session context models, or tuning prompts based on production sentiment analysis (preferred).
Gaithersburg, MD30+ days ago
What You'll Do Design, develop, and maintain microservices-based applications using modern software engineering best practices Collaborate with product owners, architects, and engineers in an Agile/SAFe environment Participate in sprint planning, daily standups, reviews, and retrospectives Collaborate with systems engineering and program teams to translate requirements into working software solutions Develop clean, maintainable, and testable code following CI/CD and DevSecOps practices Contribute to system design discussions and technical decision-making Integrate services with databases, messaging systems, and external APIs Support troubleshooting, performance tuning, and continuous improvement Work closely with QA, DevOps, and platform teams to ensure reliable delivery Implement modern automated testing strategies, including unit, integration, contract, and end-to-end testing Use AI-assisted development tools to accelerate coding, refactoring, debugging, and test creation Core Technical Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience) 4+ years of relevant experience or a Master's Degree and 2+ years of relevant experience Hands-on experience building and supporting microservices-based systems Proficiency in at least one modern programming language (e.g., Java, Python, C++, or similar on a Linux-based system) Experience or exposure to AI/ML-enabled systems (Claude-Code), automation, or intelligent platforms. Experience working in Agile environments Understanding of APIs and distributed system concepts Ability to obtain and maintain a Public Trust U.S. citizenship required Successful completion of background investigations as required by the government customer Preferred / Desired Qualifications Experience with Git-based version control and CI/CD pipelines Familiarity with Scaled Agile Framework (SAFe) Experience working with relational and/or NoSQL databases Hands-on experience with Kafka or other event-streaming technologies Cloud experience (AWS, Azure, or GCP) Containerization and orchestration experience (Docker, Kubernetes) Experience working in DevSecOps environments * Experience with test automation frameworks and integration of automated test suites into CI/CD pipelines Why Leidos?
Microsoft Federal is committed to ensuring its resources - including appropriately qualified, experienced, and certified personnel (with necessary security clearances or otherwise) are available as needed to meet USG evolving needs. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $99,700 - $167,300 per year.