Hr Principal engineer Jobs – 107 Open Jobs Today

Principal Consultant – AI Engineering & Agentic Systems
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Principal Consultant – AI Engineering & Agentic Systems

StatusNeo Technology Consulting -
Gurugram, Haryana

Apply Now

Job details

Permanent

Qualifications

CI/CD
Go
DevOps
Git
Continuous integration
GitHub
AI
Communication skills
SDLC

Full job description

Job Information

Number of Positions

Date Opened

01/28/2026

Job Type

Permanent

CoE/Practice

Engineering

City

Gurugram

State/Province

Haryana

Country

India

Zip/Postal Code

122001

Job Description

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
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

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

Apply Now

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