Principal AI-Driven SDLC Coach


Ideate Technologies LLC
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Job Details
Skills
- Artificial Intelligence
- Automated Testing
- Continuous Delivery
- Continuous Integration
- OWASP
- Code Review
- Coaching
- Requirements Elicitation
- Quality Assurance
- Software Development Methodology
- Threat Modeling
- Regression Testing
- Security Analysis
- AI-Driven SDLC
- LLM
Summary
- Serve as the principal technical authority for end-to-end coaching and governance of AI-driven Software Development Lifecycle (SDLC).
- Design robust engineering guardrail frameworks for AI-assisted software development.
- Deliver structured, hands-on coaching across every SDLC phase.
- Standardize repeatable, secure, production-grade AI-augmented engineering workflows.
- Mitigate LLM hallucinations, technical debt, security vulnerabilities, and inconsistent deliverables.
- Improve engineering efficiency using AI without compromising software quality, compliance, or system stability.
- Lead formal training sessions, one-on-one coaching, team workshops, and live code clinics.
- Coach engineers on complete AI-powered SDLC workflows.
- Establish best practices for AI-assisted software development.
- Train engineers to use AI tools for automated vulnerability scanning.
- Implement attack surface mapping and threat modeling practices.
- Perform OWASP compliance checks and data leakage risk assessments during the design phase.
- Establish human-in-the-loop AI code auditing practices.
- Develop checklist-driven code review frameworks.
- Validate AI-generated code for logical correctness, readability, performance, security, and compliance.
- Train teams to use AI for automated test case generation.
- Guide edge-case identification and enumeration.
- Use AI tools for mock data creation and test coverage validation.
- Develop automated regression test suites.
- Integrate AI tools into CI/CD build and deployment pipelines.
- Implement pre-commit validation gates.
- Enable in-pipeline code scanning and automated test execution.
- Implement artifact auditing and deployment approval automation.
- Design, develop, and maintain enterprise-grade technical harnesses across all SDLC stages.
- Build engineering guardrails to enforce secure and consistent AI-assisted development.
- Implement automated validation gates to block unverified AI outputs early in the lifecycle.
- Enforce mandatory human review checkpoints for high-risk modules.
- Ensure governance and quality controls at every SDLC stage, regardless of AI automation maturity.
- 10–15 years of software engineering experience.
- Complete hands-on experience delivering software across the entire SDLC.
- Proven expertise in requirements gathering and analysis.
- Strong experience in security design and threat modeling.
- Hands-on software implementation and development planning experience.
- Experience conducting formal code reviews and automated code audits.
- Strong knowledge of manual and automated testing methodologies.
- Experience in technical documentation and writing.
- End-to-end CI/CD pipeline design and implementation experience for production systems.
- Experience with AI-assisted software development and LLM-based engineering workflows.
- Strong understanding of software security, quality governance, compliance, and engineering best practices.
- Dice Id: PTPLpHtkHbcJfPL
- Position Id: 9115951
- Posted 1 day ago
Company Info
About Ideate Technologies LLC
Ideate Technologies is a full-service IT Organization providing Custom Software Development, Cloud Services, Technology Consulting, Business Automation, System Integration, Business Intelligence, Big Data and Data Analytic Solutions. Services we offer are built on our more than two decades of rich industry experience, technological competence and operational excellence. Our services are designed to help organizations efficiently and effectively address their business needs and challenges across multiple domains.
Constant changes in the technology landscape, cost of software development and fastest time to market are some of the challenges businesses face today, Ana-Data's services and engagement models are structured to address every one of these challenges.
