Capgemini Engineering

Customer Support

• Organizes schedules and manages flow of work within or between organizational units or businesses
• Reviews master schedule and work orders, establishes priorities, and adjusts schedule according to projects
• Collaborates with internal and external stakeholders to support the implementation and operation of enterprise PLM systems for U.S. Department of Defense customers
• Assists with developing and implementing program strategies that align with organizational goals
• Oversees projects to ensure they are executed effectively and efficiently
• Tracks project progress and performance, identifying potential risks and issues
• Reports on project status to stakeholders
• Assists with data development in PLM and Reliability tool suites
• Maintains clear and consistent communication with stakeholders

Product Support Specialist

Business Development Rep

• Develop and maintain relationships with DoD customers, industry partners, and technology companies aligned with Accelint capabilities.
• Identify and qualify new federal and defense-related opportunities through customer engagement, partner collaboration, and market awareness.
• Support early-stage opportunity shaping, concept development, and teaming strategies.
• Engage with small businesses, non-traditional vendors, and emerging technology firms to explore collaboration and joint pursuit opportunities.
• Coordinate with internal capture, proposal, technical, and contracts teams to transition qualified opportunities into formal pursuits.
• Represent Accelint at regional industry events, technical forums, and customer meetings.
• Maintain accurate opportunity and partner records in Salesforce and provide regular pipeline and activity reporting.
• Contribute to win strategies, white papers, and solution positioning with support from technical and capture leadership.
• Monitor regional and agency mission priorities and acquisition trends relevant to Accelint offerings.
• Other duties as assigned.

Business Development Manager

System Administrator

• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Review and confirm infrastructure setup to recommend and implement any optimizations for performance/scalability/cost savings (e.g. switch from monolithic to cluster, establishment of a load balancer and backup/recovery plan).
• Design, develop, and maintain a Windchill & ThingWorx Navigate image to be shared with Windchill Developers to support their daily work.
• Responsible for installing and performing upgrades of Windchill, applying critical patch sets, and fixing security vulnerabilities on a regular basis with all infrastructure and applications supporting Windchill.
• Responsible for performing rehosts to and data refreshes on non-production environments as needed.
• Conduct comprehensive testing, including unit, integration, and system testing ensuring application infrastructure and performance is maintained.
• Work with the larger Windchill production sustainment team to debug and resolve complex application/customization defects and issues that may require performance and infrastructure related investigations and solutions.
• Develop and maintain technical documentation for all environment infrastructure.
• Stay up to date with the latest Windchill developments and AWS industry best practices.

Windchill Infrastructure – System Administrator

QA Engineer

• Participate across the AI solution lifecycle from requirements and design through development, testing, and deployment
• Build and maintain systems that exercise agentic workflows against realistic scenarios, edge cases, and failure conditions
• Define contracts, validation, and explicit failure behavior at integration points
• Create shared libraries, reference harnesses, and validation utilities that teams can reuse
• Architect agentic systems so correctness, safety, and expected behavior are enforced by design
• Participate in solution design to identify likely failure patterns in agentic systems
• Define and implement cost-conscious evaluation strategies for AI-enabled systems
• Work with cross-functional program teams to translate customer and mission needs into criteria
• Communicate estimates, progress, and technical tradeoffs clearly to development leads and product owners

Senior AI Quality Engineer

Engineer

• Act as a trusted advisor to customer SMEs and the end-user community
• Lead solution architecture, development, and implementation efforts across PTC’s Windchill and ThingWorx platforms
• Design and develop custom Windchill solutions, including actions models, workflows, lifecycles, reports, and OIRs
• Support and optimize data migration projects using Windchill Bulk Migrator, Load From File Framework, and custom scripts
• Integrate Windchill with other enterprise systems and applications, ensuring seamless data flow
• Analyze and cleanse data to ensure consistency, accuracy, and alignment with business requirements
• Conduct comprehensive testing, including unit, integration, and system testing
• Debug and resolve complex application, customization, or data-related defects and issues
• Develop and maintain technical documentation for solutions, customizations, and data migration processes
• Provide training and support to end-users on Windchill and ThingWorx functionalities and evolving business processes
• Stay up to date with the latest Windchill developments, industry best practices, and DoD software policies
• Manage a small team of technical resources

Windchill Engineer

AI Engineer

• Build and deploy custom model context protocol (MCP) connectors for new and existing services
• Design and implement custom agentic workflows using cloud AI platforms
• Develop server-side application logic and APIs that integrate AI capabilities with existing enterprise systems
• Contribute to the development and maintenance of reusable AI component libraries and shared code infrastructure
• Write high-quality code, applying best practices, coding standards, and design patterns for AI systems
• Participate in the entire AI solution lifecycle, including requirement gathering, design, development, testing, and deployment, using an agile, iterative process
• Participate in code reviews and ensure code quality through effective testing strategies and security validation
• Collaborate with infrastructure teams, security teams, developers, designers, testers, project managers, product managers, and project sponsors
• Communicate tasking estimation and progress regularly to a development lead and product owner through appropriate tools
• Ensure seamless integration with backend systems, cloud services, databases and messaging systems
• Team with other developers, fostering a culture of continuous learning and professional growth in AI engineering

Senior AI Engineer

Data Analyst

• Lead advanced data analytics, statistical modeling, and predictive analysis initiatives to support readiness based sparing models to support decision-making and strategic planning.
• Partner with senior stakeholders to define analytical objectives, shape problem statements, and translate business challenges into actionable, data-driven strategies.
• Enforce, maintain and contribute process improvements to documented enterprise data definitions, business rules, governance frameworks, and data quality standards.
• Provide technical leadership and mentorship to junior analysts, supporting skill development and analytical best practices.
• Serve as a trusted advisor and subject matter expert on data analytics methodologies, tools, and advanced analytical techniques.
• Contribute technical expertise in data needed and structure to develop and model the simulation to identify the most effective option on the readiness cost curve.
• Participate in planning sessions to acquire detailed information develop data pipeline architecture that align with project requirements.
• Extract supporting data from identified tools, review available supportability reports and engineering details to assess quality of data prior to developing a readiness at cost model.
• Document data gathering processes, pipeline configurations, and data flows to ensure consistency and future support.
• Identify, define, and lead continuous improvement initiatives for analytics processes, data workflows, and system performance.
• Ensure accuracy and completeness of all documentation.
• Foster effective collaboration with cross-functional teams to achieve project objectives.
• Communicate complex technical information clearly and effectively.
• Utilize identified software and follow business rules and processes.
• Identify areas to improve efficiency and accuracy and integrate those into modeling best practices.

Data Analyst IV

• Collaborate with engineers, logisticians and product managers to understand requirements, gather supporting information specifications and develop readiness based sparing model.
• Contribute technical expertise in data needed and structure to develop and model the simulation to identify the most effective option on the readiness cost curve.
• Participate in planning sessions to acquire detailed information develop data pipeline architecture that align with project requirements.
• Extract supporting data from identified tools, review available supportability reports and engineering details to assess quality of data prior to developing a readiness at cost model.
• Document data gathering processes, pipeline configurations, and data flows to ensure consistency and future support.
• Ensure accuracy and completeness of all documentation.
• Foster effective collaboration with cross-functional teams to achieve project objectives.
• Communicate complex technical information clearly and effectively.
• Utilize identified software and follow business rules and processes.
• Identify areas to improve efficiency and accuracy and integrate those into modeling best practices