Senior Data & AI Architect - Presales & Solutions

Job Description

DXC Technology (NYSE: DXC) helps global companies run their mission‑critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private, and hybrid clouds. The world’s largest companies and public sector organizations trust DXC to deploy services across the Enterprise Technology Stack to drive new levels of performance, competitiveness, and customer experience. DXC Technology helps global enterprises modernize data architectures, deploy AI solutions at scale, and drive digital transformation across hybrid cloud environments.

Location: Remote with travel to client sites up to 50%. If you reside within 25 miles of a DXC office, you may be expected to work onsite at least two days per week.

Role

Summary:

These senior presales architecture roles are 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.

• 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 proofs‑of‑concept 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 positioning of solutions.
• Provide thought leadership and mentor junior architects.

• Experience designing modern data pipelines, ingestion frameworks, transformations, orchestration, and Lakehouse environments.
• Strong working knowledge of Spark, Databricks, Snowflake, Synapse, Big Query, Redshift, ADF, Glue, Matillion, DBT, Fivetran, Talend, or equivalent tools.
• Proficiency in SQL, Python, and data modeling techniques (dimensional, Data Vault, Lakehouse modeling).

• Experience architecting ML platforms, training/serving pipelines, and MLOps frameworks.
• Familiarity with MLflow, Kubeflow, Sage Maker, Azure ML, Data Robot, Snowflake ML, or related tools. Understanding of LLMs, embeddings, RAG patterns, vector databases, model fine‑tuning, and AI agent frameworks.

• Architecture experience on AWS, Azure, Databricks, Snowflake, Fabric, or GCP.
• Familiar with CI/CD, Infrastructure‑as‑Code, containers, and Kubernetes.

• 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 Micro Strategy.

• Bachelor’s degree in computer science, IT, Engineering, or equivalent experience.
• 12+ 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.

• Remote role with travel as required for client engagements.
• Collaboration across global delivery teams and customer leadership.
• Must be legally authorized to work in the United States without sponsorship now or in the future.

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