STRIDE AI Engineer / Architect

Hybrid in Remote, ON, US • Posted 2 days ago • Updated 22 minutes ago

Contract Independent

Contract W2

On-site

BASED ON EXPERIENCE

Fitment

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Skills

AI
ARTIFICIAL INTELLIGENCE
STRIDE
GENERATIVE AI
GENAI
GEN-AI
LLM
PYTHON
ARCHITECT
CLOUD
RAG

Summary

APN Consulting, Inc. is a progressive IT staffing and services company offering innovative business solutions to improve client business outcomes. We focus on high impact technology solutions in ServiceNow, Fullstack, Cloud & Data, and AI / ML. Due to our globally expanding service offerings we are seeking top-talent to join our teams and grow with us.

Job Title: STRIDE AI Engineer / Architect
Location: Remote(25% Travel is required)
For Canada location will be Toronto, ON
For USA location will be Princeton, NJ

Role Overview
We are looking for an AI Engineer / Architect to design, build, and evolve an enterprise-grade AI platform that accelerates root cause analysis, secure automation, code intelligence, and quality engineering.
This role blends AI engineering, software architecture, security-by-design (STRIDE), and platform thinking.
You will work at the intersection of Generative AI, secure software development, auditability, and large-scale engineering systems.

Key Responsibilities
AI Platform & Architecture

Design and evolve the AI platform architecture across RCA, code intelligence, QA automation, and monitoring.
Apply threat modeling and secure-by-design principles to all AI workflows.
Define reference architectures for:
1. AI-assisted RCA
2. Knowledge graphs & embeddings
3. PR automation with human-in-the-loop
4. AI-driven QA (Playwright + Claude/GPT)

AI Engineering & Automation

Build AI pipelines using LLMs (Claude, GPT) for:
1. Root cause analysis
2. Code understanding and fix suggestions
3. Test case generation
Implement retrieval-augmented generation (RAG) and knowledge graph-based reasoning.
Design prompt frameworks with guardrails, explainability, and audit logs.

Code Intelligence & LLMOps Integration (Must have)

Hands-on Coding (Mandatory): Strong, recent hands-on experience building production systems using Python (primary) and one of TypeScript/JavaScript, Java, or C#. This role codes regularly and owns delivered systems.
Code Intelligence Systems: Proven experience building or integrating AST-based code analysis, dependency graphs, knowledge graphs, embeddings, and RAG pipelines for large, multi-repo codebases.
Production LLMOps Ownership: Operated LLMs in production (Claude/GPT) with ownership of prompt versioning, evaluation, guardrails, cost controls, retries, fallbacks, and latency optimization.
LLMOps CI/CD & Observability: Implemented CI/CD for prompts and models, automated regression tests for LLM outputs, telemetry (cost, quality, latency), tracing, and rollback strategies.
Security & Platform Integration: Hands-on implementation of STRIDE-based security, RBAC, audit logging, data isolation, and integration with Git, CI/CD pipelines, cloud infrastructure, and DevOps tooling.

Technical Leadership

Act as a Principal Engineer / Enterprise Architect mindset within the team.
Mentor engineers on:
1. Secure AI development
2. System design
3. Responsible AI usage
Influence platform standards and long-term technical strategy.

Required Qualifications
Core Skills

8+ years in software engineering, platform engineering, or architecture roles
Strong experience with:
1. Distributed systems
2. Cloud platforms (Azure / AWS / Google Cloud Platform)
3. API-driven architectures
Hands-on experience with:
1. LLMs (Claude, GPT, or equivalent)
2. RAG pipelines, embeddings, vector databases
3. Prompt engineering

Security & Governance

Solid understanding of:
1. STRIDE threat modeling
2. Secure SDLC
3. Identity & access management
Experience building systems that are auditable and compliant by design

DevOps & QA

Experience with:
1. CI/CD pipelines
2. Git-based workflows
3. Automated testing frameworks (Playwright preferred)
Familiarity with:
1. Test automation strategies
2. Quality metrics and coverage

Preferred Qualifications

Experience in regulated environments (finance, audit, healthcare)
Knowledge of:
1. Knowledge graphs
2. Static & dynamic code analysis
3. Observability (logs, metrics, traces)
Prior experience in platform modernization or developer productivity tools

What Success Looks Like

AI platform is trusted by engineers, QA, security, and leadership
Measurable reduction in:
1. MTTR
2. Defect leakage
3. Manual effort
AI automation operates with full governance and explainability
Platform scales across teams safely

Why Join

Work on cutting-edge, responsible AI
Build a flagship internal AI platform
Influence enterprise-wide engineering practices
Operate at the intersection of AI, security, audit, and architecture

We are committed to fostering a diverse, inclusive, and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives. We strongly encourage applications from candidates of all genders, races, ethnicities, abilities, and experiences to join our team and help us build a culture of belonging.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10123488
Position Id: 26-00566
Posted 2 days ago

STRIDE AI Engineer / Architect

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