AI Solution Architect

Onebridge

AI Solution Architect at Onebridge responsible for designing scalable AI-driven solutions for clients. Focused on aligning technology strategy with business objectives and mentoring engineering teams.

Posted 7/12/2026full-timeBangalore • 🇮🇳 IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in AI and data solution architecture, with a strong focus on designing scalable AI/ML systems and ensuring alignment with business requirements and technical standards. Proven ability to lead technical discussions, mentor teams, and establish best practices for security and compliance.

Highest-signal resume keywords

Solution ArchitectureAI/ML Solution DesignCloud Platforms (Azure, AWS, GCP)Data ArchitectureMLOps

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI ArchitectureData PipelinesModel Deployment PatternsReal-Time Data PlatformsData LakesLakehousesData WarehousesArchitectural GovernanceTechnical ConsultingScalable Technical Solutions

Soft Skills

Technical LeadershipCommunicationMentorshipCollaborationInfluencing

Certifications & Qualifications

Cloud Architect Certifications (Azure, AWS, GCP)AI/ML CertificationsTOGAF

Industry Keywords

AI InitiativesArchitectural RisksDesign IntegrityBusiness RequirementsEnterprise Architecture

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Lead the end-to-end design of AI and data solutions, ensuring alignment with business requirements, technical standards, and enterprise architecture.
Act as the primary technical authority for AI initiatives, guiding solution decisions, managing architectural risks, and ensuring design integrity across delivery teams.
Define and evolve AI architectures, including data pipelines, ML platforms, model deployment patterns, and integration with enterprise systems.
Partner with clients and stakeholders to identify AI use cases, assess feasibility, and translate business needs into scalable technical solutions.
Establish architectural governance, best practices, and design patterns to ensure security, compliance, performance, and maintainability.
Provide hands-on technical guidance and mentorship to engineering teams during implementation, reviews, and production readiness.

Requirements

What you’ll need

10+ years of experience in solution architecture, technical consulting, or engineering roles focused on data, analytics, and AI-enabled systems.
5+ years of hands-on experience designing and implementing AI/ML solutions using modern cloud platforms (e.g., Azure, AWS, GCP) and AI services.
Strong expertise in data architectures, including data lakes, lakehouses, data warehouses, and real-time or event-driven data platforms.
Proven experience with AI/ML frameworks, model lifecycle management (MLOps), and scalable deployment patterns.
Demonstrated ability to lead technical design discussions, influence architectural decisions, and communicate complex concepts to technical and non-technical audiences.
Experience collaborating with delivery, product, and business teams to ensure solutions are feasible, secure, and aligned with strategic goals.
Preferred certifications: Cloud Architect certifications (Azure, AWS, GCP), AI/ML certifications, TOGAF, or equivalent architecture credentials.

Benefits

Comp & perks

Professional development opportunities