Principal AI SDLC Coach

Falcon Smart IT (FalconSmartIT); Minneapolis (MN); On-site; USD 180,000 - 240,000; Full time

Job summary

Falcon Smart IT (FalconSmartIT) seeks a Principal AI Driven SDLC Coach to serve as the senior technical authority for end-to-end coaching and governance of AI-driven SDLC.

You will design robust guardrails and deliver structured hands-on coaching spanning every SDLC phase, standardizing secure, production-grade AI-augmented workflows while mitigating LLM hallucinations, debt, and vulnerabilities across the lifecycle.

Qualifications

• Software engineering experience with end-to-end SDLC delivery
• Proven expertise in requirements gathering, security design and implementation
• Experience planning code reviews, testing and CI/CD design for production systems

Responsibilities

• Lead formal training, 1:1 coaching, workshops, and live code clinics across the AI-powered SDLC
• Security analysis and threat modelling for design-phase risk and OWASP checks
• Code review governance with AI-assisted auditing and gate checks
• Unit and integration testing with AI-generated test cases and mocks
• CI/CD AI integration, including pre-commit gates and deployment automation
• Develop enterprise-grade harnesses enforcing guardrails at all SDLC stages

Skills

SDLC coaching

Security design

Code review

CI/CD design

Technical writing

Tools

OWASP

Job description

As a Principal AI Driven SDLC Coach, you serve as the senior technical authority responsible for end-to-end coaching and governance of AI-driven full Software Development Lifecycle (SDLC).

You design robust engineering guardrail harnesses and deliver structured hands‑on coaching covering every SDLC phase. You standardize repeatable, secure, production‑grade AI‑augmented workflows for engineering teams, mitigate LLM hallucinations, technical debt security vulnerabilities and inconsistent deliverables across the entire development lifecycle while empowering engineers to maximize AI efficiency without compromising software quality compliance and stability

Key Responsibilities:

• Full AI Driven SDLC Coaching amp Hands On Enablement Lead formal training 1:1 deep coaching, team workshops and live code clinics covering the complete AI-powered SDLC workflow
• Security Analysis amp Threat Modelling Train engineers to leverage AI tools for automated vulnerability scanning, attack surface mapping, OWASP compliance checks data leakage risk assessment at the design phase
• Code Review Governance Coach human in the loop AI code auditing build checklist driven review frameworks to validate logic correctness readability performance and compliance of LLM generated code
• Unit amp Integration Testing Train teams to use AI for test case auto generation edge case enumeration, mock data creation, automated test coverage validation, and regression test suite construction
• CI/CD Pipeline AI Integration: Coach embedding AI tools into build pipelines: pre‑commit validation gates, in‑flight code scanning test auto execution artifact auditing, and deployment approval automation within CI/CD workflows. AI SDLC Harness Architecture amp Tooling Build
• Design develop and maintain enterprise grade technical harnesses that enforce guardrails across every SDLC stage listed above embed automated validation gates to block unvetted AI outputs early in the lifecycle Enforce mandatory human review gates for high risk modules at every SDLC checkpoint regardless of AI automation maturity

Required Qualifications:

• Software engineering experience with complete hands on SDLC delivery
• Proven expertise across requirements gathering security design implementation
• planning formal code review manual/automated testing technical writing and end to end CI/CD pipeline design for production systems