StatusNeo is a global AI-native transformation firm helping enterprises design, engineer, and govern AI-led systems with trust at the core. We work with global enterprises across BFSI, retail, healthcare, airlines, and platform-driven industries to transform how software is built, operated, and scaled in an AI-first world. Our work is anchored in Authentic AI™ — an approach that treats AI not as a feature or experiment, but as a continuously evolving system that must be engineered with intent, accountability, and governance. At StatusNeo, we don’t just talk about AI transformation. We build it — across engineering platforms, AI-native SDLC, agentic systems, and enterprise operating models. About This Role: We are looking for a hands-on AI engineering expert and thought leader who lives and breathes building software with AI, not just talking about it. This role sits at the intersection of engineering, AI, consulting, and customer trust. You will: 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 This is not a slideware role. This is a builder-advisor role. 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
