Senior Data & AI Solutions Architect (Remote, Pre-Sales)

Endava; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Endava seeks a senior data and AI architect for a fully remote role based in the United States. You will shape data and AI solution approaches during pre-sales, translating client needs into credible architectures and estimates while partnering with sales, delivery, and engineering to craft technically sound, commercially viable proposals.

You will provide architectural guidance across cloud, data platforms, and AI/ML workloads, contribute to proofs-of-concept, and advise on data strategy topics

Qualifications

• Senior-level experience architecting modern data platforms and AI/ML solutions in client-facing contexts.
• Experience in pre-sales including client workshops, discovery, and proposals.
• Experience with cloud data services, integration patterns, and AI/ML lifecycle tooling.
• Ability to translate complex topics for business and technical audiences.
• Background in client delivery or consulting with billable projects.

Responsibilities

• Shape data and AI solution approaches during pre-sales cycles, translating client needs into credible architectures.
• Partner with sales, delivery, and engineering to design technically sound, commercially viable proposals.
• Provide architectural guidance across cloud, data platform, and AI/ML workloads.
• Contribute to proof-of-concept designs and demonstrations for client audiences.
• Advise on data strategy topics including platform selection, governance, and AI/ML adoption paths.
• Support handover from pre-sales into delivery, setting scope, risks, and architectural decisions.

Skills

Data architecture

AI/ML solutions

Pre-sales

Cloud data services

Stakeholder communication

Job description

Endava seeks a senior data and AI architect for a fully remote role based in the United States. You will shape data and AI solution approaches during pre-sales, translating client needs into credible architectures and estimates while partnering with sales, delivery, and engineering to craft technically sound, commercially viable proposals.

You will provide architectural guidance across cloud, data platforms, and AI/ML workloads, contribute to proofs-of-concept, and advise on data strategy topics