Applied AI Architect

DevRev

. Serve as a hands-on senior technical architect on the Applied AI Engineering team .

Posted 9/17/2026full-timeRemote • IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-driven business transformation, with a strong focus on architectural design, integration strategies, and customer collaboration. Proficient in coding, technical specifications, and leveraging cloud platforms for scalable AI solutions.

Highest-signal resume keywords

AI/ML EngineeringTypeScript/JavaScript ProficiencyPython ProficiencyAWS/GCP/Azure ExperienceTechnical Architecture Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentData StructuresAlgorithmsPrompt EngineeringIntegration via APIsCI/CD PracticesContainersA/B TestingTelemetryMetrics

Soft Skills

Strong Written CommunicationStrong Verbal Communication

Tools & Technologies

DevRev PlatformCRMsEvent/Data Pipelines

Certifications & Qualifications

TOGAFSAFe

Industry Keywords

AI Agent ArchitectureBusiness TransformationCustomer SuccessTechnical Consulting

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformJavaScriptPythonTypeScriptGo

About the role

Key responsibilities & impact

Serve as a hands-on senior technical architect on the Applied AI Engineering team
Own the end-to-end design and delivery of AI-driven business transformation projects
Work with pre-sales teams to scope technical integration and implementation strategies
Translate business requirements into architectural solutions
Own detailed technical designs and drive post-sales execution
Write code for proofs-of-concept, custom integrations, and solution prototypes
Build, configure, and launch intelligent agents using the DevRev platform
Connect AI agents with CRMs, APIs, databases, and other external platforms
Tune prompts, logic, and agent configurations for accuracy, reliability, and scalability
Partner with customers to define technical agent specifications
Lead live demos and rapidly iterate on proofs-of-concept using customer feedback
Define project plans, align internal teams, and ensure timely deployment delivery
Advise customers on AI agent architecture, performance, and long-term scalability
Work directly with customers approximately 80% of the time
Collaborate across pre-sales, customer success, engineering, and product teams
Debug complex integration challenges and implement key technical components

Requirements

What you’ll need

7+ years in software development, AI/ML engineering, or technical consulting
Bachelor’s degree in Computer Science, Engineering, or a related technical field
Strong proficiency using TypeScript/JavaScript and Python
Knowledge of data structures and algorithms
Knowledge of large language models (LLMs), prompt engineering, RAG, function calling, and building evals for agentic AI solutions
Hands-on experience with AWS, GCP, or Azure
Experience with modern DevOps practices, including CI/CD, containers, and observability
Experience integrating systems via APIs, webhooks, and event/data pipelines
Experience using A/B testing, telemetry, and metrics
Strong written and verbal skills to articulate technical concepts to engineers and business stakeholders
Advanced degrees or certifications in AI/architecture frameworks such as TOGAF or SAFe are a plus
Shortlisted candidates must undergo Background Verification (BGV)
Customer-facing experience is a plus
Go is nice to have

Benefits

Comp & perks

Equal opportunity employer
Background Verification (BGV) as part of the hiring process; offer subject to successful completion
AI-native platform exposure and work with customer-facing AI transformation projects