• As a Solution Architect, you will help customers solve their more demanding challenges via technology, modernisation, and transformation processes, utilising proven methods and solutions. • Work with business development, research and development, and other subject matter experts to develop optimal and differentiated Leidos solutions to be delivered on programs, in proposals, and on research and development projects. • Help prospective customers and partners understand the value and benefits of the Leidos solution, explain technical features and transformation strategies, engage in proof of concepts, and troubleshoot potential problems. • In coordination with program teams and Intel leadership, identify technology and solution roadmaps to improve mission enterprise capabilities resulting in increased contract growth and improved customer satisfaction. • Establish Leidos best practices, lessons learned, and technological approaches related to digital modernisation and transformation technologies, including large-scale software development/architecture, Cloud migration, micro services, and others as required. • Partner with the Business Development team to support new business strategies, including the development of technical solutions, basis of estimates, white papers, industry relationships, and responses to RFIs and RFPs. • Support the Business Development team with customer calls and the Leidos’ corporate business development process for larger opportunities. • Strengthen existing programs with application of technology and/or innovation by working with peer Operations teams, Group CTOs, and other Leidos Groups, and by leveraging known technology and solutions on current programs and new business pursuits. • Understand competitor and teammate technology competencies. • Review and assess vendor technology solutions. • Assess and mentor the technical talent and solution architects in the organisation to meet the current and future (new market) business challenges.

Senior MES Engineer – POMS Net Experience: 15+ Years Industry: Pharmaceutical / Life Sciences Location: USA (Remote – must be USA‑based) Role Summary We are seeking a highly experienced Senior MES Engineer – POMS Net with deep pharmaceutical manufacturing expertise. The role will lead and support POMS Net MES design, implementation, integration, and lifecycle management across regulated manufacturing environments, ensuring full GxP and data integrity compliance. Key Responsibilities  - Lead POMS Net MES solution design, configuration, and deployment for pharma manufacturing sites - Act as SME for manufacturing execution, electronic batch records (EBR), workflows, and recipes - Drive end‑to‑end MES lifecycle activities including requirements, design, build, test, validation, deployment, and support - Collaborate with Manufacturing, QA, Automation, IT, and CSV teams - Support and lead computer system validation (CSV) activities in compliance with FDA, GxP, 21 CFR Part 11 - Ensure data integrity (ALCOA+) and audit readiness - Manage MES integrations with ERP, LIMS, Historians, DCS/PLC systems - Troubleshoot complex MES issues and drive continuous improvement initiatives - Provide technical leadership, mentoring, and review of design documentation - Participate in regulatory inspections and internal audits as MES SME

• Partner with Account Executives to discover and scope customer challenges, designing high-value technical solutions that showcase the ROI of Netomi’s platform. • Architect and build agentic workflows that integrate generative AI with APIs, databases, and enterprise tools to power experiences for our customer’s end users. • Develop custom demonstrations, prototypes, and proofs of concept using the Netomi platform tailored to specific clients use cases. • Design, test, and refine prompts and AI orchestration chains to optimize performance, reasoning, and reliability across varied use cases. • Communicate complex technical concepts clearly and persuasively to audiences ranging from C-level executives to hands-on engineers. • Collaborate with product and engineering teams, contributing insights from customer engagements to inform roadmap priorities. • Document and present solution designs, workflows, and technical configurations for both internal and client-facing reference.

Job Description: This senior presale architecture role is responsible for shaping, positioning, and validating modern Data & AI solutions for customers. The focus is on cloud data platforms, data engineering, AI/ML, and Generative AI/LLM‑based architectures. The architect partners with sales, delivery, and client executives to define target architectures, demonstrate value, and guide customers through data modernization and AI adoption. Key Responsibilities • Lead architecture design for cloud‑based data platforms including ingestion, storage, pipelines, transformation, orchestration, warehousing, streaming, and lakehouse patterns. • Develop end‑to‑end data engineering solutions and integration patterns using modern ETL/ELT and cloud-native services. • Architect AI/ML and GenAI solutions including ML pipelines, MLOps frameworks, LLM integration, RAG architectures, vector search, and AI agent workflows. • Conduct technical discovery, shape solution strategy, and translate business goals into scalable Data & AI architectures. • Deliver customer presentations, demos, and proof‑of‑concepts to communicate technical vision and business value. • Contribute to RFIs/RFPs, technical proposals, solution blueprints, and cost models. • Advise customers on data modernization, cloud migration, AI adoption, platform optimization, and best practices. • Collaborate with sales and delivery teams to ensure alignment, feasibility, and competitive solution positioning. • Provide thought leadership and mentor junior architects. Required Technical Skills Data Engineering & Platforms • Experience designing modern data pipelines, ingestion frameworks, transformations, orchestration, and lakehouse environments. • Strong working knowledge of Spark, Databricks, Snowflake, Synapse, BigQuery, Redshift, ADF, Glue, Matillion, DBT, Fivetran, Talend, or equivalent tools. • Proficiency in SQL, Python, and data modeling techniques (dimensional, Data Vault, lakehouse modeling). AI/ML & Generative AI • Experience architecting ML platforms, training/serving pipelines, and MLOps frameworks. • Familiarity with MLFlow, KubeFlow, SageMaker, Azure ML, DataRobot, Snowflake ML or related tools. • Understanding of LLMs, embeddings, RAG patterns, vector databases, model fine‑tuning, and AI agent frameworks. Cloud & DevOps • Architecture experience on AWS, Azure, Databricks, Snowflake, Fabric or GCP. • Familiar with CI/CD, Infrastructure‑as‑Code, containers, and Kubernetes. Optional Skills (Nice to Have) • Data Governance, MDM, data quality, lineage, or tools such as Collibra, Purview, Alation, Atlan, Unity Catalog. • Business Intelligence or semantic modeling experience with Power BI, Tableau, Qlik, Cognos, or MicroStrategy. Mandatory Qualifications • Bachelor’s degree in computer science, IT, Engineering, or equivalent experience. • 8+ years in Data & Analytics; 5+ years in presales or customer‑facing architecture roles. • Strong communication, executive storytelling, and presentation abilities. • Proven ability to influence stakeholders and serve as a trusted advisor. • Must be authorized to work in the U.S. without current or future sponsorship. Work Environment • Remote role with travel as required for client engagements. • Collaboration across global delivery teams and customer leadership. • Applicants must be legally authorized to work in the United States at the time of hire. The company does not provide sponsorship and cannot consider candidates on work visas or requiring future sponsorship DXC is an equal opportunity employer. We welcome the many dimensions of diversity. Accommodation of special needs for qualified candidates may be considered within the framework of the DXC Accommodation Policy. In addition, DXC Technology is committed to working with and providing reasonable accommodation to qualified individuals with physical and mental disabilities. If you need assistance in filling out the employment application or require a reasonable accommodation while seeking employment, please e-mail AODA Canada Requests. Note: This option is reserved for applicants needing a reasonable accommodation related to a disability. At DXC Technology, we believe strong connections and community are key to our success. 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