The Role
Lead AI engineering maturity assessments and advise enterprise CTOs, CIOs, and engineering leaders on AI-enabled SDLC and agentic systems. Build and prototype AI-assisted engineering workflows, multi-agent systems, and secure enterprise architectures. Translate diagnostics into actionable transformation roadmaps, capability heatmaps, governance models, and tooling recommendations. Facilitate executive workshops, publish thought leadership, contribute to AI frameworks and accelerators, and travel globally to work with customers.
Summary Generated by Built In
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
- Engineering leaders
- 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)
- AI usage in engineering workflows (coding, testing, reviews)
- Identify gaps, anti-patterns, and missed opportunities
- Benchmark customers against best-in-class global practices
- Translate assessments into:
- Clear maturity scores
- Practical capability heatmaps
- Actionable 90-day / 6-month / 12-month roadmaps
- Clear maturity scores
- Recommend:
- Where AI should not be used
- Where agentic workflows create disproportionate ROI
- Tooling, platforms, architectures, and governance models
- Where AI should not be used
- Be comfortable saying “this is wrong” and “this is what good looks like”
- Actively build and prototype:
- AI-assisted engineering workflows
- Agentic systems for SDLC, DevOps, SRE, and platform teams
- AI-assisted engineering workflows
- Hands-on with:
- LLMs, agent frameworks, orchestration layers
- AI-augmented coding, testing, CI/CD pipelines
- Secure, enterprise-grade AI architectures
- LLMs, agent frameworks, orchestration layers
- Bridge code → platform → architecture → outcomes
- 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
- AI strategy narratives
- Comfortable being on the road, meeting customers globally
- Write blogs, whitepapers, or internal playbooks
- Speak or aspire to speak at:
- Industry conferences
- Customer events
- Closed-door CXO roundtables
- Industry conferences
- Contribute to StatusNeo’s:
- AI Maturity Index
- Agentic AI frameworks
- AI-led SDLC IP and accelerators
- AI Maturity Index
RequirementsMust-Have
- 4–14 years of real engineering experience
- Has personally:
- Written production code
- Built systems end-to-end
- Used AI daily in development workflows
- Written production code
- Deep understanding of:
- AI in engineering (not just ML theory)
- SDLC transformation
- Modern DevOps / Platform Engineering
- AI in engineering (not just ML theory)
- Strong communication skills — can teach, challenge, and influence
- Opinionated, curious, and intellectually honest
- Experience consulting or advising enterprise customers
- Exposure to:
- Agentic AI systems
- Multi-agent orchestration
- AI governance and guardrails
- Agentic AI systems
- Public footprint:
- Blogs, talks, GitHub, conference speaking, internal evangelism
- Blogs, talks, GitHub, conference speaking, internal evangelism
- Comfort working directly with:
- CTOs, CIOs, Heads of Engineering, CDOs
- CTOs, CIOs, Heads of Engineering, CDOs
- 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
Skills Required
- 4-14 years of real engineering experience
- Production coding experience
- Experience building systems end-to-end
- Daily use of AI in development workflows
- Deep understanding of AI in engineering
- Deep understanding of software development lifecycle transformation
- Strong understanding of modern DevOps and platform engineering
- Strong communication skills with the ability to teach, challenge, and influence
- Consulting or enterprise customer advisory experience
- Exposure to agentic AI systems
- Exposure to multi-agent orchestration
- Exposure to AI governance and guardrails
- Public thought leadership footprint through blogs, talks, GitHub, conference speaking, or internal evangelism
- Comfort working directly with CTOs, CIOs, Heads of Engineering, and CDOs
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The Company
What We Do
xperts in CLOUD NATIVE TECHNOLOGY CONSULTING & SOLUTIONS. We build, maintain & monitor highly scalable, modular applications that leverage elastic compute, storage and network of leading cloud platforms. Backed by Digital Leadership of the Big3 in strategy consulting in the US, we partner with fortune businesses across the globe and lead their business technology transformation.
