Job Purpose

The Lead AI Application Engineering & DevSecOps Consultant is responsible for creating a controlled and

repeatable pathway that transforms business-built AI prototypes into secure, production-grade risk

applications.

Working closely with risk practitioners, business builders, platform architects, and cyber teams, the role

establishes the engineering standards, testing practices, security controls, deployment patterns, and

governance guardrails required for enterprise adoption. The consultant acts as the production-readiness

authority for AI agents, reviewing, testing, hardening, and preparing applications for Azure deployment while

enabling business users to continue innovating responsibly.

The role ensures all Risk AI agents operate under common engineering standards, with practical controls

covering GitHub, testing, secrets management, access control, documentation, monitoring, and release

management, creating solutions that are reliable, auditable, secure, and maintainable.

Key Responsibilities





Assess AI agents and application codebases for production readiness across architecture, code quality, security, testing, and deployment.
Identify and remediate engineering, security, and operational gaps in business-built AI prototypes.
Harden applications through secure authentication, authorization, secrets management, input validation, and protected AI model integration practices.
Refactor prototype solutions into maintainable, scalable, and enterprise-ready applications with robust

engineering standards.

Establish coding standards, repository governance, branching strategies, pull-request processes, and code

review practices.

Collaborate with cloud, infrastructure, security, and architecture teams to ensure compliant and scalable

deployments.

Develop reusable application templates, starter kits, reference architectures, and implementation checklists.
Ensure consistent integration of AI applications with enterprise platforms, data services, an

📌 AI Application Engineering (Gurugram)
🏢 Acuity Analytics
📍 Gurugram