Job Description

Job Information

Number of Positions


1
Date Opened


01/28/2026
Job Type


Permanent
CoE/Practice


Engineering
City


Gurugram
State/Province


Haryana
Country


India
Zip/Postal Code


122001

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(TM)

-- 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 architectureoutcomes
#

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