Responsibilities
- Understand customer business domains, systems, objectives, and KPIs to guide solution design.
- Design and document AI-driven workflows, agents, skills, and system integrations.
- Serve as a trusted technical advisor to customer stakeholders.
- Translate customer and pre-sales requirements into actionable engineering plans and measurable outcomes.
- Architect modular and scalable solutions reusable across customers and industries.
- Collaborate with Applied AI engineers to oversee implementation and maintain architectural alignment.
- Support pre-sales by scoping opportunities, defining technical requirements, and assessing feasibility and effort.
- Track emerging AI, software integration, and business transformation trends and apply them to solution designs.
- Ensure solutions meet performance, security, and compliance standards.
Requirements
- 7+ years of experience in solution architecture or consulting focused on enterprise-scale, customer-facing software implementations.
- Hands-on experience with generative AI tools, cloud platforms such as AWS, GCP, or Azure, and integration patterns including APIs, webhooks, and pipelines.
- Ability to translate customer business needs into technical execution plans.
- Experience designing scalable and future-proof architectures.
- Exceptional communication skills with technical and non-technical stakeholders.
- Proficiency with project planning tools and methodologies, including managing multiple solution tracks and timelines.
- Ability to define and track success using OKRs, KPIs, and business outcomes.
- Background in SaaS or enterprise platforms, including extensibility and multi-tenant design principles.
- Bachelor’s degree in Computer Science, Engineering, or a related discipline.
- Advanced degrees or certifications in AI or architecture frameworks such as TOGAF or SAFe are preferred.
Tech Stack
Categories
About DevRev
Computer is the most precise, efficient, and safe AI platform for enterprise search, employee service/help desk, and customer support (including voice). It works by unifying all your existing systems and data into a patented, AI-ready knowledge graph: Native Shared Memory. Every tool, every team, every customer conversation lives in this compounding context. So every answer and action is grounded in what your company knows, and how it operates. With permissions and safety guardrails respected, always. PROVEN EFFICIENCY, PRECISION, AND SAFETY We tested Computer against the market-leading AI on enterprise data: – 48% more accurate – 4.4x fewer tokens used – Cost stays flat at 256x data growth (vs. 29% growth) These results are from “Enterprise-Bench” – the AI industry’s first open, vendor-neutral benchmarking tool. Developed with Laude Institute, validated by Professor Alexandros Dimakis (UC Berkeley). The benchmark model, dataset, and traces are all public. (Feel free to get in touch to learn more.) REAL-WORLD RESULTS More and more companies are trusting Computer: – Bolt: 40% faster ticket resolution. 43% cut in live ticket volume. 25% increase in customer retention. – Bill: 70% of support tickets fully resolved without a human. 100% deployment across all market segments in 15 weeks. Up to $6M in annual savings. – $1.1B org*: 2,000+ new hires onboarded in one year without hiring extra IT staff. 10 weeks to full deployment across all teams. *We can’t reveal the name of our (very) happy customer just yet – but we will soon. DevRev is headquartered in Palo Alto, with eight global offices. We’re backed by Khosla Ventures and Mayfield, with $150M+ raised. Founded by Dheeraj Pandey, former co-founder and CEO of Nutanix [NASDAQ: NTNX], and board member at Adobe [NASDAQ: ADBE], alongside Manoj Agarwal, former SVP of Engineering at Nutanix.