Principal Consultant AI Engineering & Agentic Systems

About This Role:

• Go deep inside customer engineering organizations
  
• Conduct AI Maturity Scans through structured interviews and hands -on assessments
  
• Evaluate how enterprises use AI in engineering, AI in SDLC, and agentic workflows
  
• Produce opinionated, actionable transformation roadmaps
  
• Personally influence CTOs, CIOs, Heads of Engineering, and Product Leaders
  

AI Maturity Scans & Diagnostics (Core)

• Lead AI Engineering Maturity Assessments across customer organizations
  
• Design and run structured interviews with:
  • Engineering leaders
    
  • Platform teams
    
  • DevOps / SRE
    
  • Product & Architecture teams
    
• Assess maturity across:
  • AI usage in engineering workflows (coding, testing, reviews)
    
  • AI in SDLC (planning, CI/CD, DevSecOps, SRE, AIOps)
    
  • Agentic systems adoption (multi -agent workflows, autonomy, orchestration)
    
• Identify gaps, anti -patterns, and missed opportunities
  
• Benchmark customers against best -in -class global practices
  

Opinionated Recommendations & Roadmaps

• Translate assessments into:
  • Clear maturity scores
    
  • Practical capability heatmaps
    
  • Actionable 90 -day / 6 -month / 12 -month roadmaps
    
• Recommend:
  • Where AI should not be used
    
  • Where agentic workflows create disproportionate ROI
    
  • Tooling, platforms, architectures, and governance models
    
• Be comfortable saying “this is wrong” and “this is what good looks like”
  

Hands -on AI Engineering & Architecture

• Actively build and prototype:
  • AI -assisted engineering workflows
    
  • Agentic systems for SDLC, DevOps, SRE, and platform teams
    
• Hands -on with:
  • LLMs, agent frameworks, orchestration layers
    
  • AI -augmented coding, testing, CI/CD pipelines
    
  • Secure, enterprise -grade AI architectures
    
• Bridge code → platform → architecture → outcomes
  

Customer -Facing Thought Leadership

• Act as a trusted advisor to CXO -level stakeholders
  
• Run workshops, deep -dives, and executive briefings
  
• Represent StatusNeo as an AI authority, not a vendor
  
• Partner with customers to co -create:
  • AI strategy narratives
    
  • Engineering transformation stories
    
• Comfortable being on the road, meeting customers globally
  

External & Internal Thought Leadership

• Write blogs, whitepapers, or internal playbooks
  
• Speak or aspire to speak at:
  • Industry conferences
    
  • Customer events
    
  • Closed -door CXO roundtables
    
• Contribute to StatusNeo’s:
  • AI Maturity Index
    
  • Agentic AI frameworks
    
  • AI -led SDLC IP and accelerators
    

Requirements

Must -Have

• 4–14 years of real engineering experience
  
• Has personally:
  • Written production code
    
  • Built systems end -to -end
    
  • Used AI daily in development workflows
    
• Deep understanding of:
  • AI in engineering (not just ML theory)
    
  • SDLC transformation
    
  • Modern DevOps / Platform Engineering
    
• Strong communication skills — can teach, challenge, and influence
  
• Opinionated, curious, and intellectually honest
  

Strongly Preferred

• Experience consulting or advising enterprise customers
  
• Exposure to:
  • Agentic AI systems
    
  • Multi -agent orchestration
    
  • AI governance and guardrails
    
• Public footprint:
  • Blogs, talks, GitHub, conference speaking, internal evangelism
    
• Comfort working directly with:
  • CTOs, CIOs, Heads of Engineering, CDOs
    

Who This Role Is Not For

• Pure solution architects who don’t code anymore
  
• Presales slide creators
  
• Research -only AI specialists with no production exposure
  
• People uncomfortable taking strong points of view
  

Benefits

• Work directly with global enterprises
  
• Build and shape AI -led engineering transformations
  
• Be part of a firm positioning itself as a world -class AI -native transformation partner
  
• High visibility, high trust, high autonomy
  
• Real travel, real customers, real impact