Job Description : 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

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

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

- Identify and remediate engineering, security, and operational gaps in business-built AI prototypes.

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.

standards.

- Design, implement, and optimize CI/CD pipelines using GitHub Actions, Azure DevOps, and approved enterprise

tooling.

- Define and implement secure Azure deployment patterns covering App Services, Functions, Container Apps, API Management, Key Vault,



and Managed Identities.**
- Establish comprehensive testing frameworks including unit, integration, regression, end-to-end, user

acceptance, and AI-specific testing.

- Implement AI assurance practices including prompt testing, response evaluation, adversarial testing, and model output validation.**
- Define quality benchmarks, golden datasets, confidence thresholds, and auditability standards for AI
- Embed Secure SDLC practices, threat modeling, vulnerability management, dependency scanning, and least privilege access controls.**
- Deliver governance, training, workshops, and developer enablement initiatives that accelerate innovation

while maintaining control.

Key competencies

- Conduct architecture reviews and code reviews to improve quality, security, and maintainability.
- Coach and mentor business developers, citizen developers, and risk practitioners on secure software

engineering practices.

Technical Competencies

frameworks.

- Deep knowledge of Azure cloud services including App Service, Functions, Container Apps, API Management,

Key Vault, Managed Identity, and Azure Monitor.

- Strong DevOps and CI/CD experience using GitHub Enterprise, GitHub Actions, Azure DevOps,



and automated

deployment pipelines.

AI testing methodologies.

- Robust understanding of API design, service-to-service authentication, authorization, and API governance.

management, and security engineering practices.

- Experience implementing logging, monitoring, observability, incident management, and operational controls.

Preferred Competencies

- Experience with frameworks such as FastAPI, Flask, Streamlit, LangChain, Semantic Kernel, and Azure AI

services.

- Experience in financial services, risk management, compliance, or other highly regulated environments.
- Familiarity with enterprise data governance, semantic layers, and controlled data-access patterns.

Leadership & Behavioral Competencies

- Strong stakeholder management and cross-functional collaboration skills.
- Ability to influence engineering practices without direct authority.
- Strong coaching, mentoring, and developer enablement capabilities.
- Pragmatic approach to governance, balancing innovation, speed, and control.
- Excellent problem-solving and analytical skills.
- Strong written and verbal communication skills with both business and technical audiences.
- Ability to drive engineering discipline, quality, and continuous improvement across distributed teams.

Job Snapshot

- Job ID
- JOB_7990
- Department
- Data and Technology Services
- Location

Udyog Vihar Phase II, Gurgaon, Haryana, India

- Experience
- 7 - 10 Years
- Employee Type
- Permanent

📌 Ai Application Engineering & Devsecops - Delivery Lead (Gurugram)
🏢 Acuity Knowledge Partners
📍 Gurugram