Principal SDLC Coach

Kaleidoscope Innovation, Inc.; Brooklyn Park (MN); On-site; USD 150,000 - 180,000; Full time

Job summary

Kaleidoscope Innovation, Inc. in Brooklyn Park, MN is seeking a Principal AI Driven SDLC Coach to serve as senior technical authority responsible for end-to-end coaching and governance of AI-driven full Software Development Lifecycle.

You will design robust engineering guardrails and deliver structured hands-on coaching covering every SDLC phase. You will standardize repeatable, secure, production-grade AI-augmented workflows for engineering teams, mitigate LLM hallucinations, technical debt,

Qualifications

• Experience delivering end-to-end SDLC for production systems.
• Deep experience with AI-driven code generation and prompt engineering.
• Ability to design guardrails and governance for AI pipelines.

Responsibilities

• Lead formal training, coaching, and workshops across the AI-powered SDLC.
• Coach structured prompt design and ambiguity resolution.
• Train engineers on automated vulnerability scanning and OWASP checks.
• Guide AI-assisted architecture, task breakdown, and milestone planning.
• Establish governance for code review, testing, and documentation.
• Embed AI tools into CI/CD pipelines with validation gates.
• Develop guardrails to counter hallucinations and insecure artifacts.

Skills

SDLC delivery

Requirements gathering

Security design

Implementation planning

Code review

Testing

Technical writing

CI/CD pipelines

AI coding

LLM workflows

Prompt engineering

Harness tooling

Tools

CI/CD platforms

Security scanners

Code LLMs

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Management Brooklyn Park, MN, US

3 days ago Requisition ID: 1303

Salary Range: $150,000.00 To $180,000.00 Annually

* Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. *

Location: Santa Clara, CA OR Minneapolis, MN

Job Summary

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 & Hands-On Enablement

Lead formal training, 1:1 deep coaching, team workshops and live code clinics covering the complete AI-powered SDLC workflow:

• Spec & Requirements Collection: Coach structured prompt design, user story refinement, ambiguous requirement decomposition, and AI-assisted formal specification drafting; guide teams to avoid vague inputs that cause flawed downstream deliverables.
• Security Analysis & Threat Modeling: Train engineers to leverage AI tools for automated vulnerability scanning, attack surface mapping, OWASP compliance checks, data leakage risk assessment at the design phase (shift-left security via AI).
• Implementation Planning: Guide AI-assisted architecture drafting, task breakdown, milestone scheduling, dependency mapping and modular development planning to prevent bloated or unmaintainable AI-generated solutions.
• AI Code Generation: Establish disciplined vibe coding practices: structured prompt chaining, context injection, incremental code generation, and constrained model output to reduce redundant, buggy or non-idiomatic code.
• 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 & 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.
• Automated Documentation Generation: Standardize AI workflows for API docs, design docs, runbooks, comment blocks and release notes; ensure auto-generated documentation stays consistent with actual implemented code.
• 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 & 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.
• Integrate code LLMs, static/dynamic analysis tools, security scanners, test runners and doc generators into unified pipeline tooling natively hooked into existing CI/CD platforms.
• Build observability dashboards to measure SDLC efficiency metrics: requirement clarity pass rate, security flaw escape rate, code rewrite overhead, test coverage ratio, documentation completeness and pipeline failure frequency caused by unregulated AI coding.
• Continuously refine harness rules to counter LLM hallucinations, incomplete logic and insecure auto-generated artifacts across all development phases.

Enterprise Standardization & Compliance Governance

• Author playbooks, prompt libraries, checklists and workflow templates for each AI SDLC stage for backend, frontend, cloud-native and embedded engineering teams.
• Collaborate with cybersecurity, legal, DevSecOps and compliance teams to bake license auditing, IP validation, sensitive data filtering and regulatory requirements into AI SDLC harness gates.
• Enforce mandatory human review gates for high-risk modules (authentication, payment processing, PII handling) 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.
• Deep practical AI coding & LLM workflow expertise
• Hands-on experience leveraging code-generating LLMs across all SDLC phases; advanced prompt engineering, output constraint design, and mitigation of AI hallucinations and logical defects.
• Experience building custom wrapper tooling/harnesses to govern and validate AI outputs in pipelines.

Core Competencies

• Lifecycle-first mindset: prioritizing full SDLC robustness over isolated fast code generation
• Structured coaching style adaptable for junior to staff-level engineers
• Strategic risk balancing: accelerating delivery via AI while locking in security, maintainability and compliance
• Strong cross-team communication and technical documentation capabilities

Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.