Technical Specialist - Implementation

Bengaluru · Bangalore · 8+ years experience · Posted Oct 15, 2026

At a glance

OneTrust is seeking a Technical Specialist to join our R&D Customer Engineering organization and help drive innovation across our AI Governance portfolio.
This role combines the technical depth of a software engineer with the customer focus of a solution architect, helping strategic customers solve complex governance challenges through hands-on solution development, integrations, demonstrations, and proof-of-value engagements.
You will leverage OneTrust products, APIs, workflows, integrations, and extensibility frameworks to rapidly design, build, validate, and operationalize customer solutions while influencing future product investments.

Build customer-facing solutions by developing demonstrations, proof-of-value implementations, integrations, automations, and accelerators across AI Governance and adjacent OneTrust domains.
Solve complex technical challenges through hands-on troubleshooting, root cause analysis, and implementation support for strategic customer engagements.
Extend platform capabilities using APIs, SDKs, workflow automation, AI technologies, and cloud services without modifying OneTrust's core product codebase.
Accelerate AI Governance adoption across AI inventories, risk assessments, governance workflows, compliance operations, model oversight, and responsible AI programs.
Create reusable assets including reference architectures, implementation playbooks, solution blueprints, and best-practice guidance that can scale across customers.
Influence product strategy by identifying adoption barriers, implementation gaps, emerging customer needs, and opportunities for future platform investment.
Leverage Modern AI Technologies and utilize AI-assisted development tools, AI agents, cloud-native services, and emerging engineering approaches to rapidly prototype and validate new solution concepts.
Evaluate new AI technologies and integration opportunities relevant to OneTrust's AI Governance ecosystem.

8+ years of experience in Software Engineering, Solutions Engineering, Technical Consulting, Customer Engineering, or Forward Deployed Engineering roles.
Strong experience with modern programming languages such as Python, Java, JavaScript, TypeScript, or similar technologies.
Experience building integrations, APIs, automations, and cloud-based solutions.
Strong troubleshooting, debugging, and root-cause analysis skills.
Experience working directly with enterprise customers on technical implementations.
Familiarity with AWS, Azure, or GCP cloud platforms.
Strong communication skills with the ability to translate technical concepts into business outcomes.
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.

Experience with AI Governance, Risk Management, Privacy, Compliance, Security, or Governance platforms.
Familiarity with LLMs, AI Agents, Model Governance, and Responsible AI frameworks.
Experience developing proof-of-concepts, prototypes, demonstrations, or reference implementations.
Knowledge of frameworks such as NIST AI RMF, ISO 42001, EU AI Act, ISO 27001, or related governance standards.