Overview: BigBear.ai is seeking a Solutions Architect/Engineer.This is an ideal opportunity to be part of one of the fastest growing AI/ML companies in the industry. At BigBear.ai, we're in this business together. We own it, we make it thrive, and we enjoy the challenges of our work. We know that our employees play the largest role in our continual success. That is why we foster an environment of growth and development, with an emphasis on opportunity, recognition, and work-life balance. We give the same high level of commitment to our employees that we give to our clients. If BigBear.ai sounds like the place where you want to be, we'd enjoy speaking with you.This position will be based out of Chantilly, VA and offer remote work flexibility. What you will do: Define and communicate a shared architectural vision across release trainsParticipate in PI planning, definition, and high-level design and explore alternativesEnable the Continuous Delivery Pipeline through appropriate design guidelines and investment advocacyActively participate in the Continuous Exploration process as part of the Continuous Delivery Pipeline, especially with enabler Epics Define subsystems and their interfaces, allocate responsibilities to subsystemsUnderstand system deployment, and communicate requirements for interactions with solution contextWork with customers, stakeholders, and suppliers to establish high level Solution Context, and the solution context information models and documentation requirementsEstablish critical NFRs at the system level, participate in the definition of other levelsOperate within the Economic Framework to validate the economic impact of design decisionsWork with portfolio stakeholders, notably the Government Enterprise Architect, to develop, analyze, split, and realize the implementation of enabler epics Facilitate system demosParticipate in Program Increment (PI) Planning and Pre- and PostPI Planning, System Demos, and Inspect and Adapt events Work with the ART stakeholders to define the architectural approach, capability roadmap, and high-level objectives for the upcoming PI planning sessionIn the Post-PI planning session, summarize findings into an agreed to set of PI objectives and validates alignment of the various ART technical directionsDefine, explore, and support the implementation of ART Enablers to evolve solution context, working directly with Agile teams to implement themPlan and develop the Architectural Runway to support new business Features and CapabilitiesWork with Product Management to determine the capacity allocation for enablement workSupport technology/ engineering aspects of Program Kanban's Collaborate with System Architects/ Engineering teams to understand how their capabilities fit into and support the larger direction of the overall systemParticipate in Architecture Sync to ensure consistency in how emerging designs and tradeoffs are managed across the ART, allowing frequent opportunities to steer implementation approaches without becoming a source of delaysParticipate in the system demo and evaluate system on fitness for purposeCollaborate with Release ManagementCollaborate with Program Management and key stakeholders on progress, budget, release strategy, and readinessWork with Government stakeholders, customers, suppliers, andARTS to align the architectural direction with the Solution Context Work with Suppliers, making sure the technical characteristics for supplier-delivered capabilities are understood and assisting with the architectural integration of these concernsWork alongside Solution Management and the Solution Train Engineer, sharing responsibility for the success of a Solution Train What you need to have: Bachelor's degree in Software Engineering or Computer Science or engineering field of study plus 15+ years of experience IT systems architecting 5+ years of experience as a Senior Software Engineer and leading a software development team2+ years of experience integrating deep learning techniques, scalable cloud architectures, and/or imagery processing Two years of experience employing GPUs for near-real time processing of data3+ years of experience in developingRESTful servicesMust have served on a team that demonstrated ability to deliver alpha and beta quality code to the Government in time frames less than one month, and production quality code in three-month time framesExperience with micro-service based, scalable architectureExperience successful developing and deploying capability in container-based services such as Docker and container orchestration such as KubernetesExperience developing and deploying data analytics capability within an enterpriseExperience developing and deploying data analytics capability that uses in machine learningExperience with delivery on AWS or an equivalent serviceExperience with delivery of services in hybrid cloud/on-premises infrastructuresExperience as a lead software architect in environments featuring hybrid cloud/on-premises infrastructuresClearance: Must be able to obtain an maintain an active government security clearance What we'd like you to have: Active Secret or TS/SCI Clearance About BigBear.ai: BigBear.ai delivers AI-powered analytics and cyber engineering solutions to support mission-critical operations and decision-making in complex, real-world environments. BigBear.ai's customers, which include the US Intelligence Community, Department of Defense, the US Federal Government, as well as customers in manufacturing, healthcare, commercial space, and other sectors, rely on BigBear.ai's solutions to see and shape their world through reliable, predictive insights and goal-oriented advice. Headquartered in Columbia, Maryland, BigBear.ai is a global, public company traded on the NYSE under the symbol BBAI. For more information, please visit: and follow BigBear.ai on Twitter: @BigBearai.