Forward Deployed Engineer

8 - 12 years

0 Lacs

Posted:4 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Customer Deployment Architect on the Echo Applied AI team, you will serve as the lead technical strategist embedded with our customers. You will own the end-to-end design of AI-driven business transformation projects from understanding domain-specific needs to architecting scalable agent-based solutions using DevRevs AgentOS platform. This role requires a unique blend of enterprise architecture, AI solutioning, customer empathy, and cross-functional collaboration. You will act as the connective tissue between pre-sales, customer success, engineering, and product teams, bringing our AI capabilities to life for real-world impact. You will deeply understand customer business domains, systems, and OKRs/KPIs to guide solution design. Design and document AI-driven workflows, agents, skills, and system integrations that align with customer goals and industry best practices. Build strong partnerships with customer stakeholders as their technical counterpart, delivering confidence in our platform's capabilities. Bridge the gap between pre-sales/CS and engineering, ensuring requirements are actionable and outcomes measurable. Architect modular, scalable solutions that can be extended across customers and verticals. Collaborate with Applied AI engineers to oversee solution implementation, ensuring architectural alignment and execution excellence. Partner with sales engineers and customer teams to scope new opportunities, define technical requirements, and provide input on feasibility and effort. Stay ahead of emerging trends in AI, software integration, and business transformation and bring that insight to our solution designs. Ensure all solutions meet performance, security, and compliance standards. Willingness to travel up to 50% for on-site discovery, deployment, and customer engagement. You should have 8+ years of experience in solution architecture or consulting roles, focused on enterprise-scale, customer-facing software implementations. Hands-on experience with generative AI tools, cloud platforms (AWS, GCP, or Azure), and modern integration patterns (APIs, webhooks, pipelines). Strong understanding of customer priorities, with the ability to translate business needs into technical execution plans. A problem-solver with a growth mindset, skilled in crafting scalable and future-proof architectures. Exceptional ability to convey complex technical and business concepts to diverse stakeholders, both technical and non-technical. Proficiency with project planning tools and methodologies; capable of managing multiple solution tracks and timelines. Proven ability to define and track success through OKRs, KPIs, and tangible business outcomes. Background in SaaS or enterprise platforms, with understanding of extensibility and multi-tenant design principles. Bachelor's degree in Computer Science, Engineering, or related discipline. Advanced degrees or certifications in AI/architecture frameworks (e.g., TOGAF, SAFe) are a plus.,

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